Intensity comparison based compact descriptor for mobile visual search

In this paper, we proposed intensity comparison based compact descriptor for mobile visual search. For practical mobile applications, the low complexity and the descriptor size are more preferable, and many algorithms such as SURF, CHoG, and PCA-SIFT have been proposed. However, these approaches foc...

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Bibliographic Details
Main Authors: Na, Sang-il, Lee, Keun-dong, Lee, Seung-jae, Je, Sung-kwan, Oh, Weon-geun
Format: Conference Proceeding
Language:English
Subjects:
Applications programs
Complexity
Computer vision
Conferences
Equations
Extraction
feature descriptor
Feature extraction
image matching
Mobile communication
Mobile communication systems
Pattern recognition
Searching
Surf
Visual
Visualization
Workshops
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Summary:In this paper, we proposed intensity comparison based compact descriptor for mobile visual search. For practical mobile applications, the low complexity and the descriptor size are more preferable, and many algorithms such as SURF, CHoG, and PCA-SIFT have been proposed. However, these approaches focused on not the feature description but the extraction time and the size of the feature. This paper suggests feature description method based on simple intensity comparison with considering descriptor size and extraction speed. Experimental results show that the proposed method has comparable performance to SURF with similar complexity and 20 times much smaller size.
DOI:10.1109/FCV.2013.6485469