A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Abstract— Micro-pipelines are linear (1-D) structures for asynchronous communications. In retinotopic VLSI vision chips, communicating over 2-D image regions is a key to efficie...
When an image is viewed at varying resolutions, it is known to create discrete perceptual jumps or transitions amid the continuous intensity changes. In this paper, we study a per...
Corners and curves are important image features in many vision-based applications. Corners are usually more stable and easier to match than curves,while curves contain richer info...