DocumentCode :
2119998
Title :
Spatio-temporal consistency and distributivity as qualities of features
Author :
Eckmann, Michael ; Boult, Terrance E.
Author_Institution :
Skidmore Coll., Saratoga Springs, NY
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
In this work, we define two new and important qualities of features which expand upon the usual local feature information. Spatio-temporal consistency is a quality of a feature that quantifies how consistently a feature has been tracked in prior frames and how smooth its motion was over prior frames. Distributivity is a quality of a feature that quantifies physical distance (in number of pixels) from other features in the same frame.
Keywords :
feature extraction; distributivity; feature qualities; local feature information; match correctness ratio; mosaicing; occlusion; scale invariant feature transform; spatio-temporal consistency; Computer vision; Detectors; Educational institutions; Karhunen-Loeve transforms; Lighting; Robustness; Spatiotemporal phenomena; Springs; Testing; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location :
Anchorage, AK
ISSN :
2160-7508
Print_ISBN :
978-1-4244-2339-2
Electronic_ISBN :
2160-7508
Type :
conf
DOI :
10.1109/CVPRW.2008.4563137
Filename :
4563137
Link To Document :
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