Semantic sketch-based 3D model retrieval

Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Volumn , Issue , 2013, Pages

  Li, Bo ^a   Lu, Yijuan ^a   Fares, Ribel ^a  

^a TEXAS STATE UNIVERSITY   (United States)

Author keywords

machine learning; semantic information; sketch recognition; Sketch based 3D model retrieval

Indexed keywords

2D-3D MATCHING; COMPUTATIONAL COSTS; GEOMETRY INFORMATION; ICONIC REPRESENTATION; SEARCH ACCURACY; SEMANTIC INFORMATION; SKETCH RECOGNITION; SKETCH-BASED 3D MODELING;

ANIMATION; DRAWING (GRAPHICS); EXHIBITIONS; LEARNING SYSTEMS; SEMANTICS;

THREE DIMENSIONAL;

EID: 84888269383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMEW.2013.6618316     Document Type: Conference Paper

References (6)

1. http://www.itl.nist.gov/iad/vug/sharp/contest/2013/SBR/, 2013.
2. L. Cao, J. Liu, and X. Tang. 3D object retrieval using 2D line drawing and graph based relevance reedback. In ACM Multimedia, pages 105-108, 2006.
3. M. Eitz, J. Hays, and M. Alexa. How do humans sketch objects? ACM Trans. Graph., 31(4):44, 2012.
4. B. Li andet al.. SHREC'12 track: Sketch-based 3D shape retrieval. In 3DOR, pages 109-118, 2012.
5. B. Li and H. Johan. Sketch-based 3D model retrieval by incorporating 2D-3D alignment. Multimedia Tools and Applications, pages 1-23 (online first version), 2012.
6. P. Shilane, P.Min,M.M. Kazhdan, and T. A. Funkhouser. The Princeton shape benchmark. In SMI, pages 167-178, 2004.