A 3D Vision Summer School was organized by Center for Visual Information Technology (CVIT) from 22 – 28 May. The summer school had invited talks and hands-on-sessions. The event had 100+ attendees with 80+ participants from IITs, NITs, Industry etc. The summer school offered hands-on weeklong deep dive into fundamentals of 3D computer vision and deep learning techniques. The event also had invited talks which gave a great opportunity to learn from accomplished researchers in the field. Undergrad 3rd/4th year and MS/Ph.D students as well as industry aspirants took part in the summer school.
Invited speakers were Srinath Sridhar, Assistant Professor, Brown University; K. Madhava Krishna, Professor, IIIT Hyderabad; Varun Jampani, Researcher, Google Research; Arjun Jain, Founder and Chief Scientist, UAVIO Labs Pvt. Ltd and Abhijeet Kundu, Researcher, Google Research.
The domain of 3D Vision deals with acquisition and analysis of 3-dimensional objects/scenes with wider applications in animation, AR/VR platforms, autonomous driving, medical imaging, etc. The primary representation for 3D objects are point cloud, mesh and voxels. These 3D objects/scenes are primarily captured either by depth sensors (e.g., RGBD sensors like Kinect and Laser sensors) or by processing images/videos taken from single/multiple RGB cameras. Algorithms for recovering 3D objects from multiple view images involve an elaborate theoretical foundation from multi-view geometry developed in the last decade. Recently, deep learning methods have also reinvigorated interest in this domain with more efficient/scalable solutions for 3D reconstruction and analysis.