An Efficient Wide-Baseline Dense Matching Descriptor

Yanli WAN
Zhenjiang MIAO
Zhen TANG
Lili WAN
Zhe WANG

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E95-D    No.7    pp.2021-2024
Publication Date: 2012/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E95.D.2021
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
dense matching,  wide-baseline,  DAISY,  Haar wavelet,  photometric color invariants,  

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Summary: 
This letter proposes an efficient local descriptor for wide-baseline dense matching. It improves the existing Daisy descriptor by combining intensity-based Haar wavelet response with a new color-based ratio model. The color ratio model is invariant to changes of viewing direction, object geometry, and the direction, intensity and spectral power distribution of the illumination. The experiments show that our descriptor has high discriminative power and robustness.