We present a new method for generating large numbers of accurate point correspondences between two wide baseline images. This is important for structure-from-motion algorithms, wh...
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
This paper addresses the problem of recovering epipolar geometry from spheres. Previous works have exploited epipolar tangencies induced by frontier points on the spheres for moti...
A set of images of a Lambertian surface under varying lighting directions defines its shape up to a three-parameter Generalized Bas-Relief (GBR) ambiguity. In this paper, we exami...
Ping Tan, Satya P. Mallick, Long Quan, David J. Kr...
In this paper, we propose a novel learning-based method for image hallucination, with image super-resolution being a specific application that we focus on here. Given a low-resolu...