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3D-Model search engine from photos

Published: 09 July 2007 Publication History

Abstract

In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model distribution scores to select the optimal number of views to characterise a 3D-model. The search engine also uses a probabilistic Bayesian method to retrieve 3D-models visualy similar to a query 3D-model, photos or sketches. We present our results on the Princeton 3D Shape Benchmark database (1814 3D-models). Our 3D-model search engine is available on-line to assess and test our results. To our knowledge the FOX-MIIRE search engine is the first search engine that accepts 3D-models retrieval from photos [5]. The FOX-MIIRE search engine adapts its own user interface depending on the web access device (desktop computer, PDA, SmartPhone).

References

[1]
Fox-miire 3d retrieval system. http://www-rech.enic.fr/3dretrieval.
[2]
Princeton shape benchmark, 2004. http://shape.cs.princeton.edu/benchmark.
[3]
D. Y. Chen, X. P. Tian, Y. T. Shen, and M. Ouhyoung. On visual similarity based 3D model retrieval. In Eurographics, volume 22, pages 223--232, 2003.
[4]
T. Filali Ansary, M. Daoudi, and J.-P. Vandeborre. A bayesian 3D search engine using adaptive views clustering. IEEE Transactions on Multimedia, 9(1):78--88, January 2007.
[5]
T. Filali Ansary, J.-P. Vandeborre, and M. Daoudi. On 3D retrieval from photos. In 3rd IEEE International Symposium on 3D Data Processing Visualization Transmission (3DPVT'06), Chapel Hill, North Carolina, USA, June 14-16 2006.
[6]
T. Funkhouser, P. Min, M. Kazhdan, A. Haderman, D. Dobkin, and D. Jacobs. A search engine for 3D models. ACM Transactions on Graphics, 22(1):83--105, 2003.
[7]
A. Khotanzad and Y. H. Hong. Invariant image recognition by Zernike moments. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(5):489--497, May 1990.
[8]
D. Pelleg and A. Moore. X-means: Extending k-means with efficient estimation of the number of clusters. In International Conference on Machine Learning, pages 727--734, 2000.
[9]
J. W. H. Tangelder and R. C. Veltkamp. A survey of content-based 3D shape retrieval methods. In IEEE Shape Modeling International, pages 145--156, 2004.

Cited By

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  • (2023)A system for finding identical geometries when building 3-D modelsReporter of the Priazovskyi State Technical University. Section: Technical sciencesВестник Приазовского государственного технического университета. Серия: Технические наукиВісник Приазовського Державного Технічного Університету. Серія: Технічні науки10.31498/2225-6733.47.2023.299984(82-88)Online publication date: 28-Dec-2023
  • (2014)Benchmark for photo-based 3D shape retrievalSignal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific10.1109/APSIPA.2014.7041559(1-4)Online publication date: Dec-2014
  • (2014)Poster: Evaluation of immersive visualization techniques for 3D object retrieval2014 IEEE Symposium on 3D User Interfaces (3DUI)10.1109/3DUI.2014.6798862(145-146)Online publication date: Mar-2014
  • Show More Cited By

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cover image ACM Conferences
CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval
July 2007
655 pages
ISBN:9781595937339
DOI:10.1145/1282280
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 July 2007

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Author Tags

  1. 3D-model indexing
  2. 3D-search engine
  3. Bayesian indexing
  4. PDA
  5. SmartPhone
  6. view-based approach

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Cited By

View all
  • (2023)A system for finding identical geometries when building 3-D modelsReporter of the Priazovskyi State Technical University. Section: Technical sciencesВестник Приазовского государственного технического университета. Серия: Технические наукиВісник Приазовського Державного Технічного Університету. Серія: Технічні науки10.31498/2225-6733.47.2023.299984(82-88)Online publication date: 28-Dec-2023
  • (2014)Benchmark for photo-based 3D shape retrievalSignal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific10.1109/APSIPA.2014.7041559(1-4)Online publication date: Dec-2014
  • (2014)Poster: Evaluation of immersive visualization techniques for 3D object retrieval2014 IEEE Symposium on 3D User Interfaces (3DUI)10.1109/3DUI.2014.6798862(145-146)Online publication date: Mar-2014
  • (2013)Sketch-based 3D model retrieval by viewpoint entropy-based adaptive view clusteringProceedings of the Sixth Eurographics Workshop on 3D Object Retrieval10.5555/2601307.2601315(49-56)Online publication date: 11-May-2013
  • (2012)Towards an immersive interface for 3D object retrievalProceedings of the 5th Eurographics conference on 3D Object Retrieval10.5555/2381194.2381205(51-54)Online publication date: 13-May-2012
  • (2012)Im-O-RetProceedings of the 2012 IEEE Virtual Reality10.1109/VR.2012.6180912(121-122)Online publication date: 4-Mar-2012
  • (2010)The Journal of The Institute of Image Information and Television Engineers10.3169/itej.64.96764:7(967-972)Online publication date: 2010
  • (2010)3D model retrieval from multiple photographic images2010 IEEE International Conference on Progress in Informatics and Computing10.1109/PIC.2010.5687876(954-958)Online publication date: Dec-2010
  • (2010)A 3D Shape Retrieval Framework Supporting Multimodal QueriesInternational Journal of Computer Vision10.1007/s11263-009-0277-289:2-3(229-247)Online publication date: 1-Sep-2010
  • (2010)Thesaurus-based 3D Object Retrieval with Part-in-Whole MatchingInternational Journal of Computer Vision10.1007/s11263-009-0257-689:2-3(327-347)Online publication date: 1-Sep-2010

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