Abstract
Recent investigations illustrate that view-based methods, with pose normalization pre-processing get better performances in retrieving rigid models than other approaches and still the most popular and practical methods in the field of 3D shape retrieval [9,10,11,12]. In this paper we present an improvement of the BF-SIFT method proposed by Ohbuchi et al [1]. This method is based on bag-of-features to integrate a set of features extracted from 2D views of the 3D objects using the SIFT (Scale Invariant Feature Transform [2]) algorithm into a histogram using vector quantization which is based on a global visual codebook. In order to improve the retrieval performances, we propose to associate to each 3D object its local visual codebook instead of a unique global codebook. The experimental results obtained on the Princeton Shape Benchmark database [3] show that the proposed method performs better than the original method.
E.W. DADI is supported by the "Excellence Grant of Moroccan Ministry of Higher Education. Grant No. G 08/004".
Chapter PDF
Similar content being viewed by others
References
Axenopoulos, A., Daras, P., Dutagaci, H., Furuya, T., Godil, A., Ohbuchi, R.: SHREC 2009 - Shape Retrieval Contest of Partial 3D Models. In: Eurographics Workshop on 3D Object Retrieval (2009)
Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. Int’l Journal of Computer Vision 60(2) (November 2004)
Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The Princeton Shape Benchmark. In: Proc. SMI 2004, pp. 167–178 (2004), http://shape.cs.princeton.edu/search.html
Tangelder, J.W.H., Veltkamp, R.C.: A survey of content based 3D shape retrieval methods. Multimedia Tools and Applications 39(3), 441–471 (2008)
Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The Princeton shape benchmark. In: Shape Modeling and Applications Conference, SMI 2004, Genova, Italy, pp. 167–178. IEEE (June 2004)
Zaharia, T., Prêteux, F.: 3D versus 2D/3D shape descriptors: A comparative study. In: SPIE Conf. on Image Processing: Algorithms and Systems III - IS &T/SPIE Symposium on Electronic Imaging, Science and Technology 2003, San Jose, CA, vol. 5298 (January 2004)
Bustos, B., Keim, D.A., Schreck, T., Vranic, D.: An experimental comparison of feature-based 3D retrieval methods. In: 2nd Int. Symp. on 3D Data Processing, Visualization, and Transmission (3DPVT 2004), Thessaloniki, Greece (September 2004)
Del Bimbo, A., Pala, P.: Content-based retrieval of 3D models. ACM Trans. Multimedia Com.
Daras, P., Axenopoulos, A.: A 3D shape retrieval framework supporting multimodal queries. International Journal of Computer Vision (2010)
Chaouch, M., Verroust-Blondet, A.: A new descriptor for 2D depth image indexing and 3D model retrieval. In: Proc. ICIP 2007, vol. 6, pp. 373–376 (2007)
Lian, Z., Rosin, P.L., Sun, X.: Rectilinearity of 3D meshes. International Journal of Computer Vision 89, 130–151 (2010)
Lian, Z., Godil, A., Sun, X.: Visual Similarity based 3D Shape Retrieval Using Bag-of-Features. In: IEEE International Conference on Shape Modeling and Applications, SMI (2010)
Ohbuchi, R., Osada, K., Furuya, T., Banno, T.: Salient local visual features for shape-based 3D model retrieval, 93-102. In: Proc. IEEE Shape Modeling International, SMI (2008)
Tangelder, J., Veltkamp, R.C.: A Survey of Content Based 3D Shape Retrieval Methods. In: Proc. SMI 2004, pp. 145–156 (2004)
Iyer, M., Jayanti, S., Lou, K., Kalyanaraman, Y., Ramani, K.: Three Dimensional Shape Searching: State-of-the-art Review and Future Trends. Computer Aided Design 5(15), 509–530 (2005)
Veltkamp, R.C., et al.: SHREC 2006 3D Shape Retrieval Contest, Utrecht University Dept. Information and Computing Sciences Technical Report UU-CS-2006-030 (ISSN: 0924-3275)
Veltkamp, R.C., ter Harr, F.B.: SHREC 2007 3D Shape Retrieval Contest, Dept. of Info. and Comp. Sci., Utrecht University, Technical Report UU-CS-2007-015
Chaouch, M., Verroust-Blondet, A.: Alignment of 3D models. Graphical Models 71, 63–76 (2009)
Vedaldi, A., Fulkerson, B.: VLFeat: An open and portable library of computer vision algorithms, http://www.vlfeat.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dadi, E.W., Daoudi, E.M., Tadonki, C. (2012). 3D shape Retrieval Using Bag-of-Feature Method Basing on Local Codebooks. In: Elmoataz, A., Mammass, D., Lezoray, O., Nouboud, F., Aboutajdine, D. (eds) Image and Signal Processing. ICISP 2012. Lecture Notes in Computer Science, vol 7340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31254-0_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-31254-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31253-3
Online ISBN: 978-3-642-31254-0
eBook Packages: Computer ScienceComputer Science (R0)