Abstract
We introduce a method for shape similarity based retrieval in 3D object model database. The proposed method leads us to achieve effectiveness and robustness in similar 3D object search supporting both query by 3D model and query by 2D image. Our feature extraction mechanism is based on observation of human behavior in recognizing objects. Our process of extracting spatial arrangement of a 3D object by surface point distribution can be considered as using human tactile sensation without visual information. On the other hand, the process of extracting 2D features from multiple views can be considered as examining an object by moving viewpoints(camera positions). We propose shape signatures for 3D object model by measuring features of surface point and the shape distance distribution from multiple views of 3D model. Our method can be directly applied to industrial part retrieval and inspection system where different geometric representations are used.
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.
References
Shimon Ullman: High-level Vision, Object Recognition and Visual Cognition. The MIT Press(1996)
Harvey R. Schiffman: Sensation and Perception, An Integrated Approach. John wiley and sons, Inc.(1995)
Babu M. Mehtre, Mohan S. Kankanhalli, Wing F. Lee: Shape Measures for content based image retrieval: A comparision. Information processing and Management, Vol. 33, No.3 (1997) 319–337
Sven Loncaric: A survey of shape analysis Techniques. Pattern Recognition, Vol.31, No.8(1998) 983–1001
Gauss, K.F.: General Investigations of Curved Surfaces. Raven Press, New York(1965)
Horn, B.K.P.: Extended Gaussian Image. Proc. of IEEE, Vol. 72, No.12 December(1984)1671–1686
Ikeuchi, K. and Horn, B.K.P.: Picking up an Object from a Pile of Objects. in Robotics Research, The First International Symposium, J. M. Brady and R. Paul, The MIT Press, Cambridge, Massachusetts(1984) 139–162
Kang, S.B. and Ikeuchi, K.:The Complex EGI: New Representation for 3-D Pose Determination, IEEE Trans Pattern Analysis and Machine Intelligence, Vol. 15, No.7, July (1993) 707–721
Dellingette, H., Hebert, M., and Ikeuchi, K., “ A Spherical Representation for the Recognition of Curved Objects,” Proc. Intern. Conf on Computer Vision, May (1993) 103–112
D.V. Vranic and D. Saupe: Tools for 3D-object retrieval: Karhunen-Loeve Transform and spherical harmonics. submitted to IEEE Workshop on Multimedia Signal Processing, Cannes, France, Oct.(2001)
Paquet, E., Rioux, M.: A content-based search engine for VRML databases. Computer vision and Pattern Recognition Proceedings. IEEE Computer society conference(1998) 541–546
Andrew S. Glassner: An Introduction to Ray Tracing. ACADEMIC PRESS (1989)
R Osada, T Funkhouser, B Chazelle, and D Dobkin, “Matching 3D Models with Shape Distributions” ShapeModeling International, Genova, Italy, May, (2001)
C.C. Chang, S.M. Hwang and D.J. Buehrer: A shape recognition scheme based on relative distances of feature points from the centroid. Pattern Recognition 24(1991) 1053–1063
C. Zhang and T. Chen: Indexing and Retrieval of 3D models Aided by Active Learning. Demo on ACM Multimedia, Ottawa, Ontario, Canada, Oct.(2001) 1–5
C. M. Cyr, A. F. Kamal, T. B. Sebastian, and B. B. Kimia:2D-3D Registration based on Shape Matching. Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis(2000) 198–203
C. M. Cyr and B. B. Kimia: 3d object recognition using shape similarity-based aspect graph. In ICCV, pages Accepted-To appear, (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Song, JJ., Golshani, F. (2002). 3D Object Retrieval by Shape Similarity. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_84
Download citation
DOI: https://doi.org/10.1007/3-540-46146-9_84
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44126-7
Online ISBN: 978-3-540-46146-3
eBook Packages: Springer Book Archive