Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
SMI '04 Proceedings of the Shape Modeling International 2004
Laplace-spectra as fingerprints for shape matching
Proceedings of the 2005 ACM symposium on Solid and physical modeling
Probabilistic fingerprints for shapes
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
Retrieving articulated 3-D models using medial surfaces
Machine Vision and Applications
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids
Computer-Aided Design
A concise and provably informative multi-scale signature based on heat diffusion
SGP '09 Proceedings of the Symposium on Geometry Processing
International Journal of Computer Vision
A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Feature-Preserved Canonical Form for Non-rigid 3D Meshes
3DIMPVT '11 Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission
Shape-based retrieval of articulated 3d models using spectral embedding
GMP'06 Proceedings of the 4th international conference on Geometric Modeling and Processing
On bending invariant signatures for surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characterizing shape using conformal factors
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
ConTopo: non-rigid 3D object retrieval using topological information guided by conformal factors
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
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Evaluating the intrinsic similarities between non-rigid 3D shapes is of vital importance in content-based shape retrieval. In this paper, we present a novel intrinsic embedding technique, the contour canonical form, to express the isometry-invariant shape representation. The basic idea is to generate an unbent mapping shape for each subpart by aligning the geodesic contours. In details, we first extract the feature points on the non-rigid shape. Then, their canonical mapping positions are calculated, which are globally optimized under geodesic constraints defined on the shape surface. Guided by these positions, an embedding shape is finally obtained by adaptively rotating and translating the geodesic contours around the corresponding feature point. Compared with existing spectral embedding methods, our approach excels on both the preservation of geometric information and the computational efficiency. In the experiment, the contour canonical form is applied in retrieving non-rigid 3D shapes from the McGill articulated benchmark. The appealing results clearly demonstrate a significant performance improvement of our approach over state-of-the-art methods.