Abstract
In this paper, we propose a novel hybrid shape descriptor that combines the 2D view and transform-based features. The 2D view features are extracted from six orthogonal directions of a 3D model by using the Scale Invariant Feature Transform (SIFT) method. In order to capture the six orthogonal 2D views, Continuous Principal Component Analysis (CPCA) is used to implement pose alignment. Meanwhile, the eigenspace is computed and stored to reduce the 2D view feature vector dimension. Then, the radial integral transform and the spherical integration transform are used to extract transform-based features. The similarity between the query model and models in the database is computed by using the weighted sum of 2D view and transform-based feature similarity. Experimental results show that the proposed hybrid shape descriptor can achieve satisfactory retrieval performance for both the articulated models in the McGill Shape Benchmark and the rigid models in the Princeton Shape Benchmark.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Tangelder, J.W.H., Veltkamp, R.C.: A Survey of Content Based 3D Shape Retrieval Methods. Multimedia Tools and Applications 39(3), 441–571 (2008)
Akgui, C.B., Sankur, B., Yemez, Y., Schmitt, F.: 3D Model Retrieval Using Probability Density-Based Shape Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(6), 1117–1133 (2009)
Chen, D.Y.: On visual similarity based 3D model retrieval. Computer Graphics Forum 22(3), 223–232 (2003)
Shilane, P.: Three-dimensional shape search: state-of-the-art review and future trends. Computer-Aided Design 37(7), 509–530 (2005)
Vranic, D.V.: Desire: a composite 3d-shape descriptor. In: Proc. of IEEE Conference on Multimedia and Expo., Lausanne, Switzerland, pp. 425–428 (2002)
Papadakis, P., Pratikakis, I., Theoharis, T., Passalis, G., Perantonis, S.: 3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor. In: Eurographics Workshop on 3D Object Retrieval (2008)
Shih, J.-L., Chen, H.-Y.: A 3D model retrieval approach using the interior and exterior 3D shape information. Multimedia Tools Appl. 43, 45–62 (2009)
Ohbuchi, R., Osada, K., Furuya, T., Banno, T.: Salient local visual featuers for shape- based 3D model retrieval. In: Proceedings of Shape Modeling International, pp. 93–102 (2008)
Ohbuchi, R., Furuya, T.: Accelerating Bag-of-Features SIFT Algorithm for 3D Model Retrieval. In: Proc. SAMT 2008 Workshop on Semantic 3D Media (S-3D), pp. 23–30 (2008)
Zhu, K.P., Wong, Y.S., Lu, W.F., Loh, H.T.: 3D CAD model matching from 2D local invariant features. Computers in industry (2009)
Daras, P., Zarpalas, D., Tzovaras, D., Strintzis, M.G.: Efficient 3-D model search and retrieval using generalized 3-D radon transforms. IEEE Trans. Multimedia 8(1), 101–114 (2006)
Schurmans, U., Razdan, A., Simon, A., Mccartney, P., Marzke, M., Alfen, D.V.: Advances in geometric modeling and feature extraction on pots, rocks and bones for representation and query via the internet. Comput. Applicat. Archaeol., 25–29 (2001)
Vranic, D.V.: 3D model retrieval. Ph D dissertation. University of Leipzig, Leipzig (2004)
Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Ke, R.S.: PCA-SIFT: A more distinctive representation for local image descriptors. In: Proc. CVPR, vol. 2, pp. 506–513 (2004)
Toft, P.: The Radon Transform: Theory and Implementation. Techn. Univ. Denmark, Lyngby (1996)
Zhang, J., Kaplow, R., Chen, R., Siddiqi, K.: The McGill Shape Benchmark (2005)
Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The Princeton Shape Benchmark. In: Proc. SMI, pp. 167–178 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, P., Ma, H., Ming, A. (2010). 3D Model Retrieval Using 2D View and Transform-Based Features. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-15702-8_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15701-1
Online ISBN: 978-3-642-15702-8
eBook Packages: Computer ScienceComputer Science (R0)