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Pages
We harness Artificial Intelligence to make robust and sustainable solutions for problems in society.
Blog
The official blog site of Computer Vision and Intelligence Group, IIT Madras
We harness Artificial Intelligence to make robust and sustainable solutions for problems in society.
We harness Artificial Intelligence to make robust and sustainable solutions for problems in society.
We harness Artificial Intelligence to make robust and sustainable solutions for problems in society.
We harness Artificial Intelligence to make robust and sustainable solutions for problems in society.
Posts
Using our Docker Containers
In this post, we shall explain how you can get started with our containers - for either python, deep learning, computer vision or probabilistic modelling.
Problem Statements on basic OpenCV
Now that we’re done with the first session and the basics of Computer Vision and OpenCV, we have some problem statements for you to delve into. Do go through...
Session 1: Intro to Computer Vision
Session 1: Introduction to Computer Vision
Pysangamam 2018: Workshop Content
Thank you for the wonderful participation yesterday at PySangamam 2018.
Team from CVI bags runners-up in YAH! 2k18
Yet Another Hackathon (YAH!) 2018
CVI in Pysangamam 2018
We are pleased to announce that 3 of our talk proposals from the Computer Vision and Intelligence group (CVI) have been selected as a part of PySangamam 2018.
Summer School Deep Learning Session 4
Recurrant Neural Networks
Summer School Deep Learning Session 3
An introduction to Convolutional Neural Networks
Summer School Deep Learning Session 2
Deep Feedforward Networks - a general description
Summer Deep Learning School Session 1
Math behind Deep Learning and Introduction to Keras
Summer School Session 4: Tracking Methods - Meanshift, Camshift and Kalman Filter
In this post we will be going over the content covered during the fourth Summer School Session
Summer School Session 3: Features - Corner and Edge Detection
In this post we will be going over the content covered during the third Summer School Session
Summer School Session 2: Histogram Equalisation, Filters and Image Enhancement
In this post we will be going over the content covered in the second Summer School session of 2018
Summer School Session 1: Colour Spaces and Image Transformations
In this post we will be going over the content covered during the first session of Summer School 2018
Summer School 2018!!!
Our Summer School sessions of 2018 begin on July 6. We are going to be covering several topics which should give you a basic understanding and hopefully cult...
Support Vector Machines and Neural Networks for Image processing - Part 2
This post forms the second part of the introductory material we covered during our sessions on SVMs and Neural Networks. Both posts are slightly more biased ...
Support Vector Machines and Neural Networks for Image Processing - Part 1
This post forms the first part of the introductory material covered during our sessions on SVMs and Neural Networks. Both posts are slightly more biased towa...
Machine Learning Sessions
What? ML Sessions.
Getting Started
We are in 2018, a year where computer vision seems more dominated by Deep Learning and Reinforcement learning than photogrammetry, and when language is the ...
A Quickstart Container
While conducting some of our sessions, we’ve often had that wiry need where practically no-one has the bare minimum tools installed. Sometimes, it’s an entir...
Hack2Innovate
We would like to thank E-Cell for this wonderful article. A pleasent read indeed!
completed-projects
Expression Morphing
This project could morph expressions to one’s face, to make him smile or frown. It used a few libraries which would help obtain the facial keypoints and afte...
Fun with Faces
This project was a small scale attempt at Snapchat with a few filters which would add certain add ons to your face. The final version used a library called d...
Rubik’s cube solver
Given images of the 6 sides of a Rubik’s cube, this project will be able to solve the cube within seconds and will give a 3d simulation and the steps require...
Sub-pixel Super Resolution
This project was aimed at implementing a CSI ( TV Serial ) style Resolution enhancer for images. A Deep Learning Super Resolution approach was adopted, and ...
Cell Segmentation
Introduction
documentation
Foreground Extraction
Introduction Background subtraction (BS) is a common and widely used technique for generating a foreground mask (namely, a binary image containing the pixels...
Histogram Equalisation
By T Lokesh Kumar
Image Transformations
By Rajat V D
Image Filtering
Introduction:
Object Detection and Tracking
In this notebook we are going to learn about different algorithms available for object tracking and thier usage. Object detection and tracking has been a gre...
Thresholding
What is Thresholding?
Contours
What are contours?
Template Matching
Introduction:
Corner Detection
Corners are good features to find and are useful in a lot of practical situations where opencv is needed. Corners can be considered as points where the inten...
Hough Transform
Hough Line Transform
Morphological Transformations
This jupyter notebook walks you through the basic image morphological transformations. These are normally performed for binary images i.e, those having pixel...
K Means Clustering
Introduction
Linear Regression
By Rajat V D
Logistic Regression
Author: Varun Sundar
ongoing-projects
CNN SLAM
Simultaneous Localisation and Mapping ( SLAM ) is a rather useful addition for most robotic systems, wherein the vision module takes in a video stream and at...
Crowd Analysis in Banking Environments
Crowd Analysis in Banking environments ( as a part of the SBI Stockroom Problem Set ): The SBI Stockroom project is mainly aimed at developing an automatic c...
Deep Fake
Deep Fake ( Deep Learning + Fake ) is a human image synthesis technique using artificial intelligence methods. It has often been used for doing face swaps, ...
Forest Surveillance
India has a major part of its land area as forests. A lot of resources and effort goes into monitoring these forests and the wildlife in them and preventing ...
Lip Reading and AVR
This project aims to use dual channel convnets to perform Audio-Video recognition as well as synchronisation. Synchronisation is done to ensure that there is...
Integrated Device for Object Tracking
This project aims to build a stable negative feedback system between hardware and software components for multiple object tracking. The applications include ...
Early Stage TB Detection
Early stage TB detection ( JIPMER collaboration ) s: Tuberculosis is the leading cause of death from a single infectious disease in adults and is the world’s...
UAVs for Disaster Relief Operation
Disaster relief operations at present have the dual disadvantage of being cut off from resources and also being a risk to the rescue teams deployed. Our main...
Automatic Waste Segregator
India generates 62 million tonnes of solid waste per annum and has a rather rooted waste management problem which is spiralling out of control. At the heart ...