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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제16권 제2호
- 발행연도
- 2020.1
- 수록면
- 343 - 359 (17page)
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초록· 키워드
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In this paper, a new algorithm is proposed for threedimensional (3D) shape recognition using local features ofmodel views and its sparse representation. The algorithm starts with the normalization of 3D models and theextraction of 2D views from uniformly distributed viewpoints. Consequently, the 2D views are stacked overeach other to from view cubes. The algorithm employs the descriptors of 3D local features in the view cubesafter applying Gabor filters in various directions as the initial features for 3D shape recognition. In the trainingstage, we store some 3D local features to build the prototype dictionary of local features. To extract an intermediatefeature vector, we measure the similarity between the local descriptors of a shape model and the localfeatures of the prototype dictionary. We represent the intermediate feature vectors of 3D models in the sparsedomain to obtain the final descriptors of the models. Finally, support vector machine classifiers are used torecognize the 3D models. Experimental results using the Princeton Shape Benchmark database showed theaverage recognition rate of 89.7% using 20 views. We compared the proposed approach with stateoftheartapproaches and the results showed the effectiveness of the proposed algorithm.
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참고문헌 (38)
참고문헌 신청
J. S. Nam / 2006 / Scenario-based 3D Objects Synthesizing System Design / Journal of Information Processing Systems 2(1):18~22
I. Atmosukarto / 2010 / 3D shape analysis for quantification, classification, and retrieval
J. W. Tangelder / 2008 / A survey of content based 3D shape retrieval methods / Multimedia Tools and Applications 39
M. A. Savelonas / 2015 / An overview of partial 3D object retrieval methodologies / Multimedia Tools and Applications 74:11783~11808
C. Li / 2014 / Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval : a comparative survey / Multimedia Systems 20(3):253~281
I. Atmosukarto / 2010 / 3D shape analysis for quantification, classification, and retrieval
J. W. Tangelder / 2008 / A survey of content based 3D shape retrieval methods / Multimedia Tools and Applications 39
M. A. Savelonas / 2015 / An overview of partial 3D object retrieval methodologies / Multimedia Tools and Applications 74:11783~11808
C. Li / 2014 / Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval : a comparative survey / Multimedia Systems 20(3):253~281
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