Projects

View-graph Selection Framework for Structure from Motion

People Involved : Rajvi Shah, Visesh Chari, and P J Narayanan

View-graph is an essential input to large-scale structure from motion (SfM) pipelines. Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph. Inconsistent or inaccurate edges can lead to inferior or wrong reconstruction. Most SfM methods remove `undesirable' images and pairs using several fixed heuristic criteria, and propose tailor-made solutions to achieve specific reconstruction objectives such as efficiency, accuracy, or disambiguation.

Find 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.

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.