국내 최대 기계 및 로봇 연구정보

국내학술지

241

국내학술지 제목 게시판 내용
제목(국문)	CPU와 GPU의 병렬 처리를 이용한 고속 물체 인식 알고리즘 구현
제목(영문)	The Implementation of Fast Object Recognition Using Parallel Processing on CPU and GPU
저자	김준철 (Jun-Chul Kim ,인하대학교 ) ▷공저자네트워크등록하기 정용한 (Young-Han Jung ,인하대학교 ) ▷공저자네트워크등록하기 박은수 (Eun-Soo Park ,인하대학교 ) ▷공저자 네트워크 보기 최학남 (Xuenan Cui ,인하대학교 ) ▷공저자네트워크등록하기 김학일 (Hak-ll Kim ,인하대학교 ) ▷공저자네트워크등록하기 허욱렬 (Uk-Youl Huh ,인하대학교 ) ▷공저자네트워크등록하기
초록	This paper presents a fast feature extraction method for autonomous mobile robots utilizing parallel processing and based on OpenMP, SSE (Streaming SIMD Extension) and CUDA programming. In the first step on CPU version, the algorithms and codes are optimized and then implemented by parallel processing. The parallel algorithms are debugged to maintain the same level of performance and the process for extracting key points and obtaining dominant orientation with respect to key points is parallelized. After extraction, a parallel descriptor via SSE instructions is constructed. And the GPU version also implemented by parallel processing using CUDA based on the SIFT. The GPU-Parallel descriptor achieves an acceleration up to five times compared with the CPU-Parallel descriptor, but it shows the lower performance than CPU version. CPU version also speed-up the four and half times compared with the original SIFT while maintaining robust performance.
keyword	parallel processing, OpenMP, SSE, CUDA, SIFT, SURF
저널명	제어·자동화·시스템공학논문지 ▷관련저널보기
VOL	15
PAGE	488-495
발표년도	2009
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