NDLI: Shape-tailored local descriptors and their application to segmentation and tracking

Content Provider	IEEE Xplore Digital Library
Author	Khan, N. Algarni, M. Yezzi, A. Sundaramoorthi, G.
Copyright Year	2015
Description	Author affiliation: King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia (Khan, N.; Algarni, M.; Sundaramoorthi, G.) \|\| Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Yezzi, A.)
Abstract	We propose new dense descriptors for texture segmentation. Given a region of arbitrary shape in an image, these descriptors are formed from shape-dependent scale spaces of oriented gradients. These scale spaces are defined by Poisson-like partial differential equations. A key property of our new descriptors is that they do not aggregate image data across the boundary of the region, in contrast to existing descriptors based on aggregation of oriented gradients. As an example, we show how the descriptor can be incorporated in a Mumford-Shah energy for texture segmentation. We test our method on several challenging datasets for texture segmentation and textured object tracking. Experiments indicate that our descriptors lead to more accurate segmentation than non-shape dependent descriptors and the state-of-the-art in texture segmentation.
Starting Page	3890
Ending Page	3899
File Size	3009827
Page Count	10
File Format	PDF
ISSN	10636919
e-ISBN	9781467369640
DOI	10.1109/CVPR.2015.7299014
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Green's function methods Shape Aggregates Object tracking Optimization Robustness
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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