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TreeBASIS Feature Descriptor and Its Hardware Implementation
Joint Authors
Desai, Alok
Ventura, Dan
Archibald, James K.
Fowers, Spencer G.
Lee, Dah-Jye
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a novel feature descriptor called TreeBASIS that provides improvements in descriptor size, computation time, matching speed, and accuracy.
This new descriptor uses a binary vocabulary tree that is computed using basis dictionary images and a test set of feature region images.
To facilitate real-time implementation, a feature region image is binary quantized and the resulting quantized vector is passed into the BASIS vocabulary tree.
A Hamming distance is then computed between the feature region image and the effectively descriptive basis dictionary image at a node to determine the branch taken and the path the feature region image takes is saved as a descriptor.
The TreeBASIS feature descriptor is an excellent candidate for hardware implementation because of its reduced descriptor size and the fact that descriptors can be created and features matched without the use of floating point operations.
The TreeBASIS descriptor is more computationally and space efficient than other descriptors such as BASIS, SIFT, and SURF.
Moreover, it can be computed entirely in hardware without the support of a CPU for additional software-based computations.
Experimental results and a hardware implementation show that the TreeBASIS descriptor compares well with other descriptors for frame-to-frame homography computation while requiring fewer hardware resources.
American Psychological Association (APA)
Fowers, Spencer G.& Desai, Alok& Lee, Dah-Jye& Ventura, Dan& Archibald, James K.. 2014. TreeBASIS Feature Descriptor and Its Hardware Implementation. International Journal of Reconfigurable Computing،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1037620
Modern Language Association (MLA)
Fowers, Spencer G.…[et al.]. TreeBASIS Feature Descriptor and Its Hardware Implementation. International Journal of Reconfigurable Computing No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1037620
American Medical Association (AMA)
Fowers, Spencer G.& Desai, Alok& Lee, Dah-Jye& Ventura, Dan& Archibald, James K.. TreeBASIS Feature Descriptor and Its Hardware Implementation. International Journal of Reconfigurable Computing. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1037620
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037620