In this paper, we address the problem of finding depth from defocus in a fundamentally new way. Most previous methods have used an approximate model in which blurring is shift in...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
Despite technological advances in minimally invasive surgery (MIS) in recent years, 3D visualization of the operative field still remains one of greatest challenges. In this paper,...
Marios Nicolaou, Louis Atallah, Adam James, Julian...
Abstract. Inspired by the abilities of both the praying mantis and the pigeon to judge distance by use of motionbased visually mediated odometry, we create miniature models for dep...
Alfred M. Bruckstein, Robert J. Holt, Igor Katsman...
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...