Title
Unsupervised Video Matting via Sparse and Low-Rank Representation.
Abstract
A novel method, unsupervised video matting via sparse and low-rank representation, is proposed which can achieve high quality in a variety of challenging examples featuring illumination changes, feature ambiguity, topology changes, transparency variation, dis-occlusion, fast motion and motion blur. Some previous matting methods introduced a nonlocal prior to search samples for estimating the alpha...
Year
DOI
Venue
2020
10.1109/TPAMI.2019.2895331
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
Optical imaging,Dictionaries,Image color analysis,Streaming media,Topology,Geometrical optics,Benchmark testing
Journal
42
Issue
ISSN
Citations 
6
0162-8828
3
PageRank 
References 
Authors
0.38
30
4
Name
Order
Citations
PageRank
Dongqing Zou11609.41
Xiaowu Chen260545.05
Guangying Cao391.13
Xiaogang Wang491.13