The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
We present a new approach to robustly solve photometric stereo problems. We cast the problem of recovering surface normals from multiple lighting conditions as a problem of recover...
In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
Reasoning, problem solving, indeed the general process of acquiring knowledge, is not an isolated, homogenous affair involving a one agent using a single form of representation, b...
We propose an algorithm for large displacement opti-
cal flow estimation which does not require the commonly
used coarse-to-fine warping strategy. It is based on a
quadratic rel...