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Super Resolution Optical Flow
S. Baker and T. Kanade
tech. report CMU-RI-TR-99-36, Robotics Institute, Carnegie Mellon University, October, 1999.

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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 present 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. In this paper we describe an initial implementation of super-resolution optical flow, present detailed experimental results, and describe the relationship between super-resolution optical flow and pyramid-based image representations such as the Laplacian pyramid.

Associated center: VASC
Associated lab/group: Face Group
Associated projects: Image Enhancement for Faces and Super-Resolution Optical Flow

S. Baker and T. Kanade, Super Resolution Optical Flow, tech. report CMU-RI-TR-99-36, Robotics Institute, Carnegie Mellon University, October, 1999.

@techreport{Baker_1999_3190,
   author = "Simon Baker and Takeo Kanade",
   title = "Super Resolution Optical Flow",
   institution = "Robotics Institute, Carnegie Mellon University",
   month = "October",
   year = "1999",
   number = "CMU-RI-TR-99-36",
   address = "Pittsburgh, PA"
}