상세정보
학술대회
New Binary Descriptors based on BRISK Sampling Pattern for Image Retrieval
- 발행일
- 201410
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2014, pp.575-576
- 협약과제
- 14MS2700, 스마트 단말용 스트리밍 유해 컨텐츠 차단 기술 개발, 한승완
- 초록
- Over the last decade, feature point descriptors such as SIFT have become indispensable tools in the computer vision community. But, the descriptor's high computational overhead becomes a significant concern when it has to be on a device with limited computational and storage resources. In order to make descriptors faster to compute and more compact, several binary descriptors such as ORB and BRISK have been proposed. These binary descriptors are not successful in image retrieval, so we propose new binary descriptors to increase the accuracy while maintaining computational efficiency.
- KSP 제안 키워드
- Binary descriptors, Computational Efficiency, Computer Vision(CV), Feature point descriptors, Image retrieval, sampling pattern