A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

Computer Vision and Image Understanding

Volumn 131, Issue , 2015, Pages 1-27

  Li, Bo ^a   Lu, Yijuan ^a   Li, Chunyuan ^b   Godil, Afzal ^b   Schreck, Tobias ^c   Aono, Masaki ^d   Burtscher, Martin ^a   Chen, Qiang ^e   Chowdhury, Nihad Karim ^d   Fang, Bin ^e   Fu, Hongbo ^f   Furuya, Takahiko ^g   Li, Haisheng ^h   Liu, Jianzhuang ⁱ   Johan, Henry ^j   Kosaka, Ryuichi ^d   Koyanagi, Hitoshi ^d   Ohbuchi, Ryutarou ^g   Tatsuma, Atsushi ^d   Wan, Yajuan ^h   Zhang, Chaoli ^h   Zou, Changqing ^k   more..

^a Texas State University   (United States)

^b NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

^c UNIVERSITY OF KONSTANZ   (Germany)

^d TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

^e CHONGQING UNIVERSITY   (China)

^f CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^g UNIVERSITY OF YAMANASHI   (Japan)

^h BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

ⁱ HUAWEI TECHNOLOGIES CO LTD   (China)

^j Visual Computing Fraunhofer IDMNTU ^*  (Singapore)

^k SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

more..

Author keywords

3D shape retrieval; Large scale benchmark; Multimodal queries; Performance evaluation; Query by Model; Query by Sketch; SHREC; Unified

Indexed keywords

BENCHMARKING; CONTENT BASED RETRIEVAL; INFORMATION RETRIEVAL; SELF ORGANIZING MAPS;

3D SHAPE RETRIEVAL; MULTI-MODAL QUERIES; PERFORMANCE EVALUATION; QUERY-BY-SKETCH; SHREC; UNIFIED;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84918825652     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2014.10.006     Document Type: Article

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