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'+ 'var idx = lunr(function () { this.field('title', {boost: 10}) this.field('excerpt') this.field('categories') this.field('tags') this.ref('id') }); idx.add({ title: "Image Based Census for Animals", excerpt: "Goals: Create a software to detect animals in pictures and then identify separate individuals of the same species. Focusing mainly...", categories: [], tags: [], id: 0 }); idx.add({ title: "Autonomous Driving System", excerpt: "The objective of the CARLA project is to create an Autonomous Driving System (ADS) that would run on the open-source...", categories: [], tags: [], id: 1 }); idx.add({ title: "CNN SLAM", excerpt: "Simultaneous Localisation and Mapping ( SLAM ) is a rather useful addition for most robotic systems, wherein the vision module...", categories: [], tags: [], id: 2 }); idx.add({ title: "Crowd Analysis in Banking Environments", excerpt: "Crowd Analysis in Banking environments ( as a part of the SBI Stockroom Problem Set ): The SBI Stockroom project...", categories: [], tags: [], id: 3 }); idx.add({ title: "Deep Fake", excerpt: "Deep Fake ( Deep Learning + Fake ) is a human image synthesis technique using artificial intelligence methods. It has...", categories: [], tags: [], id: 4 }); idx.add({ title: "Deep nets analysis, exploration and visualization", excerpt: "Goal: Deep nets have gotten extremely effective at solving problems that we want them to, and as we use them...", categories: [], tags: [], id: 5 }); idx.add({ title: "Expression Morphing", excerpt: "This project could morph expressions to one’s face, to make him smile or frown. It used a few libraries which...", categories: [], tags: [], id: 6 }); idx.add({ title: "Forest Surveillance", excerpt: "India has a major part of its land area as forests. A lot of resources and effort goes into monitoring...", categories: [], tags: [], id: 7 }); idx.add({ title: "Fun with Faces", excerpt: "This project was a small scale attempt at Snapchat with a few filters which would add certain add ons to...", categories: [], tags: [], id: 8 }); idx.add({ title: "Lip Reading and AVR", excerpt: "This project aims to use dual channel convnets to perform Audio-Video recognition as well as synchronisation. Synchronisation is done to...", categories: [], tags: [], id: 9 }); idx.add({ title: "Document Recovery with OCR and NLP", excerpt: "Goal: To digitize and recover text from documents which are not in good shape Objective: To extract text from documents...", categories: [], tags: [], id: 10 }); idx.add({ title: "Integrated Device for Object Tracking", excerpt: "This project aims to build a stable negative feedback system between hardware and software components for multiple object tracking. The...", categories: [], tags: [], id: 11 }); idx.add({ title: "Exploration into RL algorithms through games", excerpt: "Goal: To analyze the performance of various RL algorithms on different games such as Minesweeper, Slither.io and Reconnaissance Blind Chess....", categories: [], tags: [], id: 12 }); idx.add({ title: "Rubik's cube solver", excerpt: "Given images of the 6 sides of a Rubik’s cube, this project will be able to solve the cube within...", categories: [], tags: [], id: 13 }); idx.add({ title: "Smartcopter", excerpt: "Goal: The project Smartcopter aims to achieve completely autonomous navigation in a GPS denied environment, by using completely vision-based systems...", categories: [], tags: [], id: 14 }); idx.add({ title: "Sub-pixel Super Resolution", excerpt: "This project was aimed at implementing a CSI ( TV Serial ) style Resolution enhancer for images. A Deep Learning...", categories: [], tags: [], id: 15 }); idx.add({ title: "Early Stage TB Detection", excerpt: "Early stage TB detection ( JIPMER collaboration ) s: Tuberculosis is the leading cause of death from a single infectious...", categories: [], tags: [], id: 16 }); idx.add({ title: "Textile Quality Analysis", excerpt: "The project Textile Quality Analysis aims at counting the wefts(horizontal lines), warps(vertical lines)of a given fabric image uner _pick glass(a...", categories: [], tags: [], id: 17 }); idx.add({ title: "Traffic Analysis using CV", excerpt: "Goal: We are motivated to develop a supportive eye that can assist the driver to mitigate an accident before it...", categories: [], tags: [], id: 18 }); idx.add({ title: "Traffic Surveillance using Computer Vision", excerpt: "Present systems of traffic surveillance in India have not caught up with the technological developments and heavily rely on manual...", categories: [], tags: [], id: 19 }); idx.add({ title: "UAVs for Disaster Relief Operation", excerpt: "Disaster relief operations at present have the dual disadvantage of being cut off from resources and also being a risk...", categories: [], tags: [], id: 20 }); idx.add({ title: "VR Shooter with Dodging agent", excerpt: "Goal: To make a VR shooter game with agents trained by reinforcement learning Objective: Investigate factors like reward signals, training...", categories: [], tags: [], id: 21 }); idx.add({ title: "Automatic Waste Segregator", excerpt: "India generates 62 million tonnes of solid waste per annum and has a rather rooted waste management problem which is...", categories: [], tags: [], id: 22 }); idx.add({ title: "Cell Segmentation", excerpt: "Introduction This project aims at performing automated identification of cell boundaries from the pathological video data. We are given the...", categories: [], tags: [], id: 23 }); idx.add({ title: "Foreground Extraction", excerpt: "Introduction Background subtraction (BS) is a common and widely used technique for generating a foreground mask (namely, a binary image...", categories: ["computer_vision"], tags: [], id: 24 }); idx.add({ title: "Histogram Equalisation", excerpt: "By T Lokesh Kumar What is a Histogram?? In Statistics, Histogram is a graphical representation showing a visual impression of...", categories: ["computer_vision"], tags: [], id: 25 }); idx.add({ title: "Image Transformations", excerpt: "By Rajat V D Introduction In this notebook, we will be exploring the various types of transformations which can be...", categories: ["computer_vision"], tags: [], id: 26 }); idx.add({ title: "Image Filtering", excerpt: "Introduction: As for one-dimensional signals, images also can be filtered with various low-pass filters (LPF), high-pass filters(HPF1)etc. A LPF helps...", categories: ["computer_vision"], tags: [], id: 27 }); idx.add({ title: "Object Detection and Tracking", excerpt: "In this notebook we are going to learn about different algorithms available for object tracking and thier usage. Object detection...", categories: ["computer_vision"], tags: [], id: 28 }); idx.add({ title: "Thresholding", excerpt: "What is Thresholding? Thresholding is the simplest segmentation technique. From a grayscale image, thresholding can be used to create binary...", categories: ["computer_vision"], tags: [], id: 29 }); idx.add({ title: "Contours", excerpt: "What are contours? Contours is a curve joining all the continuous points (along the boundary), having same color or intensity....", categories: ["computer_vision"], tags: [], id: 30 }); idx.add({ title: "Template Matching", excerpt: "Introduction: Template Matching is a method for searching and finding the location of a template image in another input image...", categories: ["computer_vision"], tags: [], id: 31 }); idx.add({ title: "Corner Detection", excerpt: "Corners are good features to find and are useful in a lot of practical situations where opencv is needed. Corners...", categories: ["computer_vision"], tags: [], id: 32 }); idx.add({ title: "Hough Transform", excerpt: "Hough Line Transform Theory Hough Transform is a popular technique to detect any shape, if you can represent that shape...", categories: ["computer_vision"], tags: [], id: 33 }); idx.add({ title: "Morphological Transformations", excerpt: "This jupyter notebook walks you through the basic image morphological transformations. These are normally performed for binary images i.e, those...", categories: ["computer_vision"], tags: [], id: 34 }); idx.add({ title: "K Means Clustering", excerpt: "Introduction kNN is one of the simplest of classification algorithms available for supervised learning. The idea is to search for...", categories: ["machine_learning"], tags: [], id: 35 }); idx.add({ title: "Linear Regression", excerpt: "By Rajat V D Introduction In this notebook, we will be exploring the concept of Regression, and in particular, Linear...", categories: ["machine_learning"], tags: [], id: 36 }); idx.add({ title: "Logistic Regression", excerpt: "Author: Varun Sundar Introduction A particular case of discriminative approach (fit p (y|{x}) directly, where x is the feature vector,...", categories: ["machine_learning"], tags: [], id: 37 }); idx.add({ title: "AI Games", excerpt: "Goals: Create a software to compete in RBC competition and beat other competitors Focussing on solving the problem of POMDP...", categories: [], tags: [], id: 38 }); idx.add({ title: "CVspice", excerpt: "Goal: The project CVspice aims to achieve a UI which inputs hand-drawn electric circuits which in turn identifies the components...", categories: [], tags: [], id: 39 }); idx.add({ title: "Crack Detection", excerpt: "Goal: We attempt to solve the age old problem of detecting cracks in architecture by bringing together traditional CV techniques...", categories: [], tags: [], id: 40 }); idx.add({ title: "Crime Detection", excerpt: "Goals: Create a crime detection software that is able to detect various crime thus mitigating the manual effort required to...", categories: [], tags: [], id: 41 }); idx.add({ title: "Dental Treatment using Computer Vision", excerpt: "Goal: To identify Cephalometric Landmarks from an Lateral Cephalogram and perform Cephalometric Analysis. Objective: Develop a software that can input...", categories: [], tags: [], id: 42 }); idx.add({ title: "Joint Angle Estimation using Cameras", excerpt: "Goal: To be able to provide real-time joint angle estimation of sports players just using cameras. Objective: Develop a pipeline...", categories: [], tags: [], id: 43 }); idx.add({ title: "Low_Cost_Hawkeye", excerpt: "Goal: The Hawk Eye technology used by cricket bodies is very expensive and is thus not available to most coaching...", categories: [], tags: [], id: 44 }); idx.add({ title: "VidCon", excerpt: "Goal: In the recent times, due to the pandemic video conferencing tools have become an integral part of our lives....", categories: [], tags: [], id: 45 }); idx.add({ title: "Hack2Innovate", excerpt: "We would like to thank E-Cell for this wonderful article. A pleasent read indeed! The original article may be found...", categories: ["media coverage","competitions"], tags: ["media","competitions","Hackathons"], id: 46 }); idx.add({ title: "A Quickstart Container", excerpt: "While conducting some of our sessions, we’ve often had that wiry need where practically no-one has the bare minimum tools...", categories: ["tutorials tools"], tags: ["tutorials","tools","software","containers"], id: 47 }); idx.add({ title: "Getting Started", excerpt: "We are in 2018, a year where computer vision seems more dominated by Deep Learning and Reinforcement learning than photogrammetry,...", categories: ["tutorials"], tags: ["tutorials","primer","references"], id: 48 }); idx.add({ title: "Machine Learning Sessions", excerpt: "What? ML Sessions. When? 9th, 10th and 12th April 2018. Where? CRC 102. Greetings from the Computer Vision and Intelligence...", categories: ["sessions"], tags: ["announcement","session"], id: 49 }); idx.add({ title: " Support Vector Machines and Neural Networks for Image Processing - Part 1", excerpt: "This post forms the first part of the introductory material covered during our sessions on SVMs and Neural Networks. Both...", categories: ["machine_learning"], tags: [], id: 50 }); idx.add({ title: "Support Vector Machines and Neural Networks for Image processing - Part 2", excerpt: "This post forms the second part of the introductory material we covered during our sessions on SVMs and Neural Networks....", categories: ["machine_learning"], tags: [], id: 51 }); idx.add({ title: "Summer School 2018!!!", excerpt: "Our Summer School sessions of 2018 begin on July 6. We are going to be covering several topics which should...", categories: ["summer_school"], tags: [], id: 52 }); idx.add({ title: "Summer School Session 1: Colour Spaces and Image Transformations", excerpt: "In this post we will be going over the content covered during the first session of Summer School 2018 The...", categories: ["summer_school"], tags: [], id: 53 }); idx.add({ title: "Summer School Session 2: Histogram Equalisation, Filters and Image Enhancement", excerpt: "In this post we will be going over the content covered in the second Summer School session of 2018 The...", categories: ["summer_school"], tags: [], id: 54 }); idx.add({ title: "Summer School Session 3: Features - Corner and Edge Detection", excerpt: "In this post we will be going over the content covered during the third Summer School Session The jupyter notebook...", categories: ["summer_school"], tags: [], id: 55 }); idx.add({ title: "Summer School Session 4: Tracking Methods - Meanshift, Camshift and Kalman Filter", excerpt: "In this post we will be going over the content covered during the fourth Summer School Session The jupyter notebook...", categories: ["summer_school"], tags: [], id: 56 }); idx.add({ title: "Summer Deep Learning School Session 1", excerpt: "Math behind Deep Learning and Introduction to Keras This post contains a basic introduction to Deep Learning and will also...", categories: ["summer_school"], tags: [], id: 57 }); idx.add({ title: "Summer School Deep Learning Session 2", excerpt: "Deep Feedforward Networks - a general description The session notebook can be found here The session notebook can be found...", categories: ["summer_school"], tags: [], id: 58 }); idx.add({ title: "Summer School Deep Learning Session 3", excerpt: "An introduction to Convolutional Neural Networks In this post we will be giving an introduction to Convolutional Neural Networks and...", categories: ["summer_school"], tags: [], id: 59 }); idx.add({ title: "Summer School Deep Learning Session 4", excerpt: "Recurrant Neural Networks Recurrent Neural Networks (RNN’s) are very effective for Natural Language Processing and other sequence tasks because they...", categories: ["summer_school"], tags: [], id: 60 }); idx.add({ title: "Exploring Adversarial Reprogramming", excerpt: "Author: Rajat V D This post was also posted on medium at Medium Orginal post here Google brain recently published...", categories: ["papers"], tags: [], id: 61 }); idx.add({ title: "CVI in Pysangamam 2018", excerpt: "We are pleased to announce that 3 of our talk proposals from the Computer Vision and Intelligence group (CVI) have...", categories: ["conferences"], tags: [], id: 62 }); idx.add({ title: "Team from CVI bags runners-up in YAH! 2k18", excerpt: "Yet Another Hackathon (YAH!) 2018 A team from CVI, named “Eye in the Sky”, participated in YAH! 2k18. We have...", categories: ["competitions"], tags: [], id: 63 }); idx.add({ title: "Pysangamam 2018: Workshop Content", excerpt: "Thank you for the wonderful participation yesterday at PySangamam 2018. As promised, here are our slides and repo’s used: Slides...", categories: ["conferences"], tags: [], id: 64 }); idx.add({ title: "Session 1: Intro to Computer Vision", excerpt: "Session 1: Introduction to Computer Vision Greetings from the Computer Vision and Intelligence group, CFI! We are overwhelmed with the...", categories: ["sessions"], tags: [], id: 65 }); idx.add({ title: "Problem Statements on basic OpenCV", excerpt: "Now that we’re done with the first session and the basics of Computer Vision and OpenCV, we have some problem...", categories: ["problem_statements"], tags: [], id: 66 }); idx.add({ title: "Using our Docker Containers", excerpt: "In this post, we shall explain how you can get started with our containers - for either python, deep learning,...", categories: ["docker"], tags: [], id: 67 }); console.log( jQuery.type(idx) ); var store = [ { "title": "Image Based Census for Animals", "url": "https://iitmcvg.github.io/completed-projects/Animal_census/", "excerpt": "Goals: Create a software to detect animals in pictures and then identify separate individuals of the same species. Focusing mainly...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Autonomous Driving System", "url": "https://iitmcvg.github.io/completed-projects/Autonomous_Driving_System/", "excerpt": "The objective of the CARLA project is to create an Autonomous Driving System (ADS) that would run on the open-source...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "CNN SLAM", "url": "https://iitmcvg.github.io/completed-projects/CNN-SLAM/", "excerpt": "Simultaneous Localisation and Mapping ( SLAM ) is a rather useful addition for most robotic systems, wherein the vision module...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Crowd Analysis in Banking Environments", "url": "https://iitmcvg.github.io/completed-projects/Crowd_Analysis/", "excerpt": "Crowd Analysis in Banking environments ( as a part of the SBI Stockroom Problem Set ): The SBI Stockroom project...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Deep Fake", "url": "https://iitmcvg.github.io/completed-projects/Deep_Fake/", "excerpt": "Deep Fake ( Deep Learning + Fake ) is a human image synthesis technique using artificial intelligence methods. It has...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Deep nets analysis, exploration and visualization", "url": "https://iitmcvg.github.io/completed-projects/Deep_Nets_Visualisation/", "excerpt": "Goal: Deep nets have gotten extremely effective at solving problems that we want them to, and as we use them...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Expression Morphing", "url": "https://iitmcvg.github.io/completed-projects/Expression_Morphing/", "excerpt": "This project could morph expressions to one’s face, to make him smile or frown. It used a few libraries which...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Forest Surveillance", "url": "https://iitmcvg.github.io/completed-projects/Forest_Surveillance/", "excerpt": "India has a major part of its land area as forests. A lot of resources and effort goes into monitoring...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Fun with Faces", "url": "https://iitmcvg.github.io/completed-projects/Fun_with_faces/", "excerpt": "This project was a small scale attempt at Snapchat with a few filters which would add certain add ons to...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Lip Reading and AVR", "url": "https://iitmcvg.github.io/completed-projects/Lip_Reading_AVR/", "excerpt": "This project aims to use dual channel convnets to perform Audio-Video recognition as well as synchronisation. Synchronisation is done to...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Document Recovery with OCR and NLP", "url": "https://iitmcvg.github.io/completed-projects/NLP_OCR/", "excerpt": "Goal: To digitize and recover text from documents which are not in good shape Objective: To extract text from documents...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Integrated Device for Object Tracking", "url": "https://iitmcvg.github.io/completed-projects/Object_Tracking/", "excerpt": "This project aims to build a stable negative feedback system between hardware and software components for multiple object tracking. The...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Exploration into RL algorithms through games", "url": "https://iitmcvg.github.io/completed-projects/RL_Games/", "excerpt": "Goal: To analyze the performance of various RL algorithms on different games such as Minesweeper, Slither.io and Reconnaissance Blind Chess....", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Rubik's cube solver", "url": "https://iitmcvg.github.io/completed-projects/Rubiks_cube/", "excerpt": "Given images of the 6 sides of a Rubik’s cube, this project will be able to solve the cube within...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Smartcopter", "url": "https://iitmcvg.github.io/completed-projects/Smartcopter/", "excerpt": "Goal: The project Smartcopter aims to achieve completely autonomous navigation in a GPS denied environment, by using completely vision-based systems...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Sub-pixel Super Resolution", "url": "https://iitmcvg.github.io/completed-projects/Super_Resolution/", "excerpt": "This project was aimed at implementing a CSI ( TV Serial ) style Resolution enhancer for images. A Deep Learning...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Early Stage TB Detection", "url": "https://iitmcvg.github.io/completed-projects/TB_Detection/", "excerpt": "Early stage TB detection ( JIPMER collaboration ) s: Tuberculosis is the leading cause of death from a single infectious...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Textile Quality Analysis", "url": "https://iitmcvg.github.io/completed-projects/Textile_Quality_Analysis/", "excerpt": "The project Textile Quality Analysis aims at counting the wefts(horizontal lines), warps(vertical lines)of a given fabric image uner _pick glass(a...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Traffic Analysis using CV", "url": "https://iitmcvg.github.io/completed-projects/Traffic_Analysis/", "excerpt": "Goal: We are motivated to develop a supportive eye that can assist the driver to mitigate an accident before it...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Traffic Surveillance using Computer Vision", "url": "https://iitmcvg.github.io/completed-projects/Traffic_Surveillance_using_Computer_Vision/", "excerpt": "Present systems of traffic surveillance in India have not caught up with the technological developments and heavily rely on manual...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "UAVs for Disaster Relief Operation", "url": "https://iitmcvg.github.io/completed-projects/UAV/", "excerpt": "Disaster relief operations at present have the dual disadvantage of being cut off from resources and also being a risk...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "VR Shooter with Dodging agent", "url": "https://iitmcvg.github.io/completed-projects/VR_shooter/", "excerpt": "Goal: To make a VR shooter game with agents trained by reinforcement learning Objective: Investigate factors like reward signals, training...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Automatic Waste Segregator", "url": "https://iitmcvg.github.io/completed-projects/Waste_Segregator/", "excerpt": "India generates 62 million tonnes of solid waste per annum and has a rather rooted waste management problem which is...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Cell Segmentation", "url": "https://iitmcvg.github.io/completed-projects/cell_segmentation/", "excerpt": "Introduction This project aims at performing automated identification of cell boundaries from the pathological video data. We are given the...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Foreground Extraction", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/Foreground%20Extraction/", "excerpt": "Introduction Background subtraction (BS) is a common and widely used technique for generating a foreground mask (namely, a binary image...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Histogram Equalisation", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/HistogramEqualisation/", "excerpt": "By T Lokesh Kumar What is a Histogram?? In Statistics, Histogram is a graphical representation showing a visual impression of...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Image Transformations", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/Image%20Transformations/", "excerpt": "By Rajat V D Introduction In this notebook, we will be exploring the various types of transformations which can be...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Image Filtering", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/Image_Filtering/", "excerpt": "Introduction: As for one-dimensional signals, images also can be filtered with various low-pass filters (LPF), high-pass filters(HPF1)etc. A LPF helps...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Object Detection and Tracking", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/ObjectDetectionAndTracking/", "excerpt": "In this notebook we are going to learn about different algorithms available for object tracking and thier usage. Object detection...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Thresholding", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/OpenCV_Thresholding/", "excerpt": "What is Thresholding? Thresholding is the simplest segmentation technique. From a grayscale image, thresholding can be used to create binary...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Contours", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/OpenCv_Contours/", "excerpt": "What are contours? Contours is a curve joining all the continuous points (along the boundary), having same color or intensity....", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Template Matching", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/Template%20Matching/", "excerpt": "Introduction: Template Matching is a method for searching and finding the location of a template image in another input image...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Corner Detection", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/corner_detection/", "excerpt": "Corners are good features to find and are useful in a lot of practical situations where opencv is needed. Corners...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Hough Transform", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/hough_transform/", "excerpt": "Hough Line Transform Theory Hough Transform is a popular technique to detect any shape, if you can represent that shape...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Morphological Transformations", "url": "https://iitmcvg.github.io/documentation/Computer_Vision/morph_transformations/", "excerpt": "This jupyter notebook walks you through the basic image morphological transformations. These are normally performed for binary images i.e, those...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "K Means Clustering", "url": "https://iitmcvg.github.io/documentation/Machine_Learning/K_Means%20Clustering/K%20Means%20Clustering/", "excerpt": "Introduction kNN is one of the simplest of classification algorithms available for supervised learning. The idea is to search for...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Linear Regression", "url": "https://iitmcvg.github.io/documentation/Machine_Learning/Linear%20Regression/LinearRegression/", "excerpt": "By Rajat V D Introduction In this notebook, we will be exploring the concept of Regression, and in particular, Linear...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Logistic Regression", "url": "https://iitmcvg.github.io/documentation/Machine_Learning/Logistic%20Regression/Logistic%20Regression/", "excerpt": "Author: Varun Sundar Introduction A particular case of discriminative approach (fit p (y|{x}) directly, where x is the feature vector,...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "AI Games", "url": "https://iitmcvg.github.io/ongoing-projects/AI_Games/", "excerpt": "Goals: Create a software to compete in RBC competition and beat other competitors Focussing on solving the problem of POMDP...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "CVspice", "url": "https://iitmcvg.github.io/ongoing-projects/CVspice/", "excerpt": "Goal: The project CVspice aims to achieve a UI which inputs hand-drawn electric circuits which in turn identifies the components...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Crack Detection", "url": "https://iitmcvg.github.io/ongoing-projects/Crack%20_Detection/", "excerpt": "Goal: We attempt to solve the age old problem of detecting cracks in architecture by bringing together traditional CV techniques...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Crime Detection", "url": "https://iitmcvg.github.io/ongoing-projects/Crime%20Detection/", "excerpt": "Goals: Create a crime detection software that is able to detect various crime thus mitigating the manual effort required to...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Dental Treatment using Computer Vision", "url": "https://iitmcvg.github.io/ongoing-projects/Dental_Treatment_CV/", "excerpt": "Goal: To identify Cephalometric Landmarks from an Lateral Cephalogram and perform Cephalometric Analysis. 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The original article may be found...", "teaser": "https://iitmcvg.github.io/assets/images/posts/2017-12-20-hack2innovate/GES.jpeg" }, { "title": "A Quickstart Container", "url": "https://iitmcvg.github.io/tutorials%20tools/dockerfile/", "excerpt": "While conducting some of our sessions, we’ve often had that wiry need where practically no-one has the bare minimum tools...", "teaser": "https://iitmcvg.github.io/assets/images/posts/2018-01-30-dockerfile/dockerhero.png" }, { "title": "Getting Started", "url": "https://iitmcvg.github.io/tutorials/getting_started/", "excerpt": "We are in 2018, a year where computer vision seems more dominated by Deep Learning and Reinforcement learning than photogrammetry,...", "teaser": "https://www.nvidia.com/content/dam/en-zz/Solutions/research/research-home-areas-computer-vision-407-ud@2X.jpg" }, { "title": "Machine Learning Sessions", "url": "https://iitmcvg.github.io/sessions/ML-Sessions/", "excerpt": "What? ML Sessions. When? 9th, 10th and 12th April 2018. Where? CRC 102. Greetings from the Computer Vision and Intelligence...", "teaser": "https://cdn-images-1.medium.com/max/1024/1*ZkZS46p7Lbw-PDBtPMfEEw.jpeg" }, { "title": " Support Vector Machines and Neural Networks for Image Processing - Part 1", "url": "https://iitmcvg.github.io/machine_learning/SVM_and_Neural_Nets/", "excerpt": "This post forms the first part of the introductory material covered during our sessions on SVMs and Neural Networks. Both...", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Support Vector Machines and Neural Networks for Image processing - Part 2", "url": "https://iitmcvg.github.io/machine_learning/SVM-and-NN-part2/", "excerpt": "This post forms the second part of the introductory material we covered during our sessions on SVMs and Neural Networks....", "teaser": "https://iitmcvg.github.io/assets/images/CVI.jpg" }, { "title": "Summer School 2018!!!", "url": "https://iitmcvg.github.io/summer_school/Summer_School_2018/", "excerpt": "Our Summer School sessions of 2018 begin on July 6. 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2k18", "url": "https://iitmcvg.github.io/competitions/YAH/", "excerpt": "Yet Another Hackathon (YAH!) 2018 A team from CVI, named “Eye in the Sky”, participated in YAH! 2k18. 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