Graphics enhanced version of this site

Super-Resolution Optical Flow
This project is no longer active.

Head: Simon Baker
Contact: Simon Baker

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated lab/group: Face Group

Existing approaches to super-resolution are not applicable to videos of faces because faces are non-planar, non-rigid, non-lambertian, and are subject to self occlusion. We propose super-resolution optical flow as a solution to these problems. Super-resolution optical flow takes as input a conventional video stream, and simultaneously computes both optical flow and a super-resolution version of the entire video. An example of the algorithm is included below. The input consists of a short video, 5 frames of which are:

The output of our algorithm on those 5 frames is:

A complete video output is:

Name - Title <Email Address>
• Simon Baker - Adjunct Faculty (Adjunct)
• [Home] Takeo Kanade - U.A. and Helen Whitaker University Prof., RI/CS <tk@cs.cmu.edu>

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Super Resolution Optical Flow
  S. Baker and T. Kanade
  tech. report CMU-RI-TR-99-36, Robotics Institute, Carnegie Mellon University, October, 1999. [Abstract]
  Download: pdf [281 KB], ps.gz [758 KB] copyrighted