urdu_cnnHuman Shape Capture and Tracking at Home

People Involved : Gaurav Mishra, Saurabh Saini, Kiran Varanasi and P.J. Narayanan

Human body tracking typically requires specialized capture set-ups. Although pose tracking is available in consumer devices like Microsoft Kinect, it is restricted to stick figures visualizing body part detection. In this paper, we propose a method for full 3D human body shape and motion capture of arbitrary movements from the depth channel of a single Kinect, when the subject wears casual clothes


urdu_cnnFind me a sky : a data-driven method for color-consistent sky search & replacement

People Involved : Saumya Rawat, Siddhartha Gairola, Rajvi Shah, and P J Narayanan

Replacing overexposed or dull skies in outdoor photographs is a desirable photo manipulation. It is often necessary to color correct the foreground after replacement to make it consistent with the new sky. Methods have been proposed to automate the process of sky replacement and color correction. However, many times a color correction is unwanted by the artist or may produce unrealistic results.


computationalDisplays Computational Displays

People Involved :Parikshit Sakurikar, Revanth N R, Pawan Harish, Nirnimesh and P J Narayanan

Displays have seen many improvements over the years but have many shortcomings still. These include rectangular shape, low color gamut, low dynamic range, lack of focus and context in a scene, lack of 3D viewing, etc. We propose Computational Displays, which employ computation to economically alleviate some of the shortcomings of today's displays.



gpuproject Parallel Computing using CPU and GPU

People Involved : Aditya Deshpande, Parikshit Sakurikar, Harshit Sureka, K. Wasif, Ishan Misra, Pawan Harish, Vibhav Vineet and P J Narayanan

Commodity graphics hardware has become a cost-effective parallel platform for solving many general problems. New Graphics hardware by Nvidia offers an alternate programming model called CUDA which can be used in more flexible ways than GPGPU.


sfm cover Exploiting SfM Data from Community Collections

People Involved : Aditya Singh, Apurva Kumar, Krishna Kumar Singh, Kaustav Kundu, Rajvi Shah, Aditya Deshpande, Shubham Gupta, Siddharth Choudhary and P J Narayanan

Progress in the field of 3D Computer Vision has led to the development of robust SfM (Structure from Motion) algorithms. These SfM algorithms, allow us to build 3D models of the monuments using community photo collections. We work on improving the speed and accuracy of these SfM algorithms and also on developing tools that use the rich geometry present in the SfM datasets.


rayTracing Ray Tracing on the GPU

People Involved : Srinath Ravichandran, Rohit Nigam, Sashidhar Guntury, Jag Mohan Singh, Suryakant Patidar and P J Narayanan

Ray tracing is used to render photorealistic images in computer graphics. We work on real time ray tracing of static, dynamic and deformable scenes composed of polygons as well as higher order surfaces on the GPU.



terrain Terrain Rendering and Information System

People Involved : Shiben Bhattacharjee, Suryakant Patidar and P J Narayanan

Digital Terrain Model refer to a data model that attempts to provide a three dimensional representation of a continuous surface, since terrains are two and a half dimensional rather than three dimensional.




garuda Garuda: A Scalable, Geometry Managed Display Wall

People Involved :Pawan Harish, Nirnimesh and P J Narayanan

Cluster-based tiled display walls simultaneously provide high resolution and large display area (Focus + Context) and are suitable for many applications. They are also cost-effective and scalable with low incremental costs. Garuda is a client-server based display wall solution designed to use off-the-shelf graphics hardware and standard Ethernet network.