CBRISK: Colored Binary Robust Invariant Scalable Keypoints

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概要

• 論文の詳細を見る

• 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.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Niu Xiamu

  Department Of Computer Science And Technology Harbin Institute Of Technology

• He Xin

  Department Of Computer Science And Technology Harbin Institute Of Technology

• Jing Huiyun

  Department Of Computer Science And Technology Harbin Institute Of Technology

• Han Qi

  Department Of Computer Science And Technology Harbin Institute Of Technology

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