Bayesian optical flow with uncertainty quantification
Work
Year: 2018
Type: article
Abstract: Optical flow refers to the visual motion observed between two consecutive images. Since the degree of freedom is typically much larger than the constraints imposed by the image observations, the strai... more
Source: Inverse Problems
Authors Jie Sun, Fernando Quevedo, Erik M. Bollt
Institution Clarkson University
Cites: 42
Cited by: 9
Related to: 10
FWCI: 0.724
Citation percentile (by year/subfield): 71.98
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green
Grant IDS 318812, N00014-15-1-2093, W911NF-16-1-0081