IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Computing the Perspective Projection Aspect Graph of Solids of Revolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Organizing Large Structural Modelbases
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cosmos: a framework for representation and recognition of 3d free-form objects
Cosmos: a framework for representation and recognition of 3d free-form objects
Object Recognition Using Shape-from-Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D object recognition: Representation and matching
Statistics and Computing
Region-Based Object Recognition Using Shape-from-Shading
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Topographic Surface Structure from 2D Images Using Shape-from-Shading
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Graph Edit Distance from Spectral Seriation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A diffusion wavelet approach for 3-D model matching
Computer-Aided Design
Local feature extraction and matching on range images: 2.5D SIFT
Computer Vision and Image Understanding
3D CAD model search: a regularized manifold learning approach
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
3D CAD model retrieval with perturbed Laplacian spectra
Computers in Industry
Geometric graph comparison from an alignment viewpoint
Pattern Recognition
On-line and open platform for 3D object retrieval
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
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We address the problem of constructing view aspects of 3D free-form objects for efficient matching during recognition. We introduce a novel view representation based on "shape spectrum" features, and propose a general and powerful technique for organizing multiple views of objects of complex shape and geometry into compact and homogeneous clusters. Our view grouping technique obviates the need for surface segmentation and edge detection. Experiments on 6,400 synthetically generated views of 20 free-form objects and 100 real range images of 10 sculpted objects demonstrate the good performance of our shape spectrum based model view selection technique.