CBRISK: Colored Binary Robust Invariant Scalable Keypoints

Huiyun JING  Xin HE  Qi HAN  Xiamu NIU  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.2   pp.392-395
Publication Date: 2013/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.392
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
color space,  photometric invariant,  binary descriptor,  

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BRISK (Binary Robust Invariant Scalable Keypoints) works dramatically faster than well-established algorithms (SIFT and SURF) while maintaining matching performance. However BRISK relies on intensity, color information in the image is ignored. In view of the importance of color information in vision applications, we propose CBRISK, a novel method for taking into account color information during keypoint detection and description. Instead of grayscale intensity image, the proposed approach detects keypoints in the photometric invariant color space. On the basis of binary intensity BRISK (original BRISK) descriptor, the proposed approach embeds binary invariant color presentation in the CBRISK descriptors. Experimental results show that CBRISK is more discriminative and robust than BRISK with respect to photometric variation.