Abstract
This special issue contains papers selected by representatives of the British Machine Vision Association (BMVA) describing recent advances made against major outstanding challenges in computer vision: detection; tracking and pose estimation; activity recognition; video segmentation; dense correspondence and video synthesis. Establishing a dense correspondence between images remains an open problem; recent solutions based on randomised search have yielded promising advances in accuracy and efficiency. Our first paper, “PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation” presents a unified framework in which the Patch Match algorithm is first described as a variant of belief propagation, and then extended using features of the latter to yield results that are both more accurate than the original Patch Match formulation and orders of magnitude faster than previous belief propagation approaches. ‘Mixture ofTrees ProbabilisticGraphicalModel forVideo Segmentation” by Badrinarayanan, Budvytis and Cipolla, continues the theme of video analysis; proposing a new spatio-temporal representation, the Mixture of Trees for temporally coherent semantic video segmentation. This
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.