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학술지 Modified Chain-Code-Based Object Recognition
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저자
이대하, 김순자
발행일
201511
출처
Electronics Letters, v.51 no.24, pp.1996-1997
ISSN
0013-5194
출판사
IET
DOI
https://dx.doi.org/10.1049/el.2015.1019
협약과제
15PC2800, 인간 친화적 로봇 서비스 환경에서 판단 적합성 90%이상인 복합지식 기반 판단 및 의미기반 로봇 표현 기술 개발, 김재홍
초록
Chain code, a data compression technique, has been widely used to encode the contour information of an object or gesture. Although this chain code is effective for data compression, it is impossible to avoid the duplication of borders. That is, even though they represent different objects, the encoding results can be made similar. The vector chain code (VCC), which contains the direction and distance information to solve the problems of the existing chain code is proposed. Also, the integrated VCC is composed of internal and external class-based VCCs to support the encoding of objects that have multiple feature points. Experiments demonstrate that the proposed VCC achieves an improved recognition rate in comparison to that achieved by the existing chain code.
KSP 제안 키워드
Data Compression Technique, Internal and external, Object Recognition, Recognition rate, Vector chain code, contour information, distance information, feature points, multiple features