JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Novel Parallel Approach for SIFT Algorithm Implementation |
| 영문제목(English Title) |
Novel Parallel Approach for SIFT Algorithm Implementation |
| 저자(Author) |
Le Tran Su
Jong-Soo Lee
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| 원문수록처(Citation) |
VOL 11 NO. 04 PP. 0298 ~ 0306 (2013. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel approach for SIFT algorithm implementation using a block filtering technique in a Gaussian convolution process on the SIMD Pixel Processor. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and input/output capabilities of the processor, which results in a system that can perform real-time image and video compression. We apply this implementation to images and measure the effectiveness of such an approach. Experimental simulation results indicate that the proposed method is capable of real-time applications, and the result of our parallel approach is outstanding in terms of the processing performanc.
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| 키워드(Keyword) |
Data parallel architecture
Parallel processing
SIFT
SIMD
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| 파일첨부 |
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