—Most research works focus on pattern recognition within a small sample images but strategies for running efficiently these algorithms over large images are rarely if ever speci...
Antoine Veillard, Nicolas Lomenie, Daniel Racocean...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
An automated system for planning and optimization of lumber production using Machine Vision and Computed Tomography (CT) is proposed. Cross-sectional CT images of hardwood logs are...
Suchendra M. Bhandarkar, Xingzhi Luo, Richard F. D...
A dynamic layer representation is proposed in this paper for tracking moving objects. Previous work on layered representations has largely concentrated on two-/multiframe batch fo...
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...