A visual similarity- based 3D search engine

Data Science Journal

Volumn 8, Issue , 2009, Pages 78-87

  Lmaati, Elmustapha Ait ^a   Oirrak, Ahmed El ^a   Kaddioui, M N ^a  

^a CADI AYYAD UNIVERSITY   (Morocco)

Author keywords

3D objects; Combination of 3D descriptors; Information retrieval; Retrieval system; Search engine

Indexed keywords

INFORMATION RETRIEVAL; WEB CRAWLER;

3D OBJECT; 3D SEARCH ENGINES; CURVE ANALYSIS; DESCRIPTORS; LARGE DATABASE; RETRIEVAL SYSTEMS; STATE-OF-THE-ART METHODS; VISUAL SIMILARITY;

SEARCH ENGINES;

EID: 76449111991     PISSN: 16831470     EISSN: 16831470     Source Type: Journal    
DOI: 10.2481/dsj.007-069     Document Type: Article

References (19)

1. Bunyk, P., Kaufman, A.E., & Silva, C.T. (1997) Simple, fast, and robust ray casting of irregular grids. In: Scientific Visualization Conference Dagstuhl'97, Dagstuhl, Germany, pp. 30-36
2. Chen, D.Y., Ouhyoung, M., Tian, X.P., & Shen, Y.T. (2003) On visual similarity based 3D model retrieval. Eurographics, Granada, Spain, pp. 223-232
3. Dejan Vranic's 3D Search Engine (Konstanz University). Retrieved from the WWW, February 25, 2009: http://merkur01.inf.uni-konstanz.de/CCCC/
4. Filali, T.A., Daoudi, M., & Vandeborre, J.P. (2007) A bayesian 3d search engine using adaptive views clustering. IEEE Trans. Multimedia 9, 78-88 (2007)
5. Fox MIIRE search engine. Retrieved from the WWW, February 27, 2009: http://www-rech.enic.fr/3dretrieval/
6. Gagvani, N. & Silver, D. (1999) Parameter-controlled VOLUME thinning. CVGIP: Graphical Model and Image Processing, 61(3):149-164.
7. Heczko, M., Keim, D.A., Saupe, D., & Vranic, D.V. (2002) Verfahren zur ahnlichkeitssuche auf 3d objekten: (methods for similarity search on 3d databases), vol.2. Datenbank-Spektrum, pp. 54-63
8. Hilaga, M., Shinagawa, Y., Kohmura, T., & Kunii, T.L. (2001) Topology matching for fully automatic similarity estimation of 3D shapes. ACM SIGGRAPH 28th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, pp. 203-212.
9. Informatics and Telematics Institute 3D search engine. Retrieved from the WWW, February 27, 2009: http://3d-search.iti.gr/3DSearch
10. Kazhdan, M.&Funkhouser, T. (2002) Harmonic 3D Shape Matching. in SIGGRAPH 2002 Technical Sketches, San antonio, TX, July 2002, p. 191, ACM SIGGRAPH.
11. Lmaati, E. A., El Oirrak, A.,&Kaddioui, M.N. (2009) A 3D search engine based on 3D curve analysis. SIViP: Signal, Image and Video processing. DOI: 10.1007/s11760-008-0091-2
12. Ogden search engine. Retrieved from the WWW, February 27, 2009: http://ship.nime.ac.jp/~motofumi/Ogden/
13. Osada, R., Funkhouser, T., Chazelle, B.,&Dobkin, D. (2002) Shape distributions. ACM Trans. Graph., 21(4), pp. 807-832.
14. Princeton University search engine. Retrieved from the WWW, February 25, 2009: http://shape.cs.princeton.edu/search.html
15. Raghavan, V., Bollmann, P.,&Jung, G.S. (1989) A critical investigation of recall and precision as measures of retrieval system performance. ACM Trans. Inf. Syst., pp. 205-229. (Pubitemid 21659999)
16. Shilane, P., Kazhdan, M., Min, P.,&Funkhouser, T. (2004) The Princeton shape benchmark. Shape Modeling International,Washington, DC,pp. 167-178
17. Sundar, H., Silver, D., Gagvani, N.,&Dickinson, S.J. (2003) Skeleton based shape matching and retrieval. Shape Modeling International (SMI'03), IEEE Computer Society, Washington, DC, pp. 130-142
18. Vranic, D.&Saupe, D.(2001) 3D shape descriptor based on 3D Fourier transform. In: Proceedings of the EURASIP Conference on Digital Signal Processing for Multimedia Communications and Services, Budapest, Hungary, pp. 271-274
19. Vranic, D.V.&Saupe, D. (2001b) 3d model retrieval with spherical harmonics and moments. DAGM 2001. In: Radig B. Florczyk S. (eds.) Munich, Germany, pp 392-397