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SURF알고리듬에서의 고속 특징점 검출 방식open accessA Fast Interest Point Detection Method in SURF Algorithm
- Other Titles
- A Fast Interest Point Detection Method in SURF Algorithm
- Issue Date
- 2015
- Publisher
- 대한임베디드공학회
- Keywords
- SURF; Interest point; Parallel processing; OpenMP; SIMD
- Citation
- 대한임베디드공학회논문지, v.10, no.1, pp 49 - 55
- Pages
- 7
- Indexed
- KCI
- Journal Title
- 대한임베디드공학회논문지
- Volume
- 10
- Number
- 1
- Start Page
- 49
- End Page
- 55
- ISSN
- 1975-5066
- Abstract
- In this paper, we propose a fast interest point detection method using SURF algorithm. Since the SURF algorithm needs a great computations to detect the interest points and obtain the corresponding descriptors, it is not suitable for real-time based applications. In order to overcome this problem, the interest point detection step is parallelized by OpenMP and SIMD based on analysis of the scale space representation process and localization one in the step. The simulation results demonstrate that processing speed is enhanced about 55% by applying the proposed method.
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Collections - 공학계열 > 기계항공우주공학부 > Journal Articles
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