The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
Structural Indexing: Efficient 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Describing Complicated Objects by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building 3-D models from unregistered range images
Graphical Models and Image Processing
Geometry of harmonic maps
COSMOS-A Representation Scheme for 3D Free-Form Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Spherical Representation for Recognition of Free-Form Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Triangles as a Primary Representation
Proceedings of the International NSF-ARPA Workshop on Object Representation in Computer Vision
Multi-Scale Classification of 3-D Objects
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Robust Point Correspondence Applied to Two-and Three-Dimensional Image Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-Quality Texture Reconstruction from Multiple Scans
IEEE Transactions on Visualization and Computer Graphics
Efficient partial-surface registration for 3D objects
Computer Vision and Image Understanding
Efficient partial-surface registration for 3D objects
Computer Vision and Image Understanding
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In our early work, a representation called Harmonic Shape Images for 3D free-form surfaces was proposed and applied to solve the surface-matching problem. In this paper, extensive experiments using real data are conducted to analyze the performance of Harmonic Shape Images with respect to discriminability, stability and robustness to resolution and occlusion. The results show that Harmonic Shape Images are an appropriate representation for 3D surface comparison. Examples of surface comparison using real data are presented in the paper.