Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Perceptual organization and the representation of natural form
Artificial Intelligence
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Invariant surface characteristics for 3D object recognition in range images
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
Biological Cybernetics
Evidence-Based Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solid shape
The design and analysis of spatial data structures
The design and analysis of spatial data structures
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation and recognition of surface shapes in range images: a differential geometry approach
Computer Vision, Graphics, and Image Processing
BONSAI: 3D Object Recognition Using Constrained Search
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
Adaptive 3-D Object Recognition from Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
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
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
Shape representation and image segmentation using deformable surfaces
Image and Vision Computing - Special issue: range image understanding
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Describing Complicated Objects by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of pattern recognition and image processing (vol. 2)
Obtaining generic parts from range images using a multi-view representation
CVGIP: Image Understanding
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
A theory of multiscale, torsion-based shape representation for space curves
Computer Vision and Image Understanding
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Implicit fairing of irregular meshes using diffusion and curvature flow
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
General Object Reconstruction Based on Simplex Meshes
International Journal of Computer Vision
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Signal Processing, Image Processing and Pattern Recognition
Signal Processing, Image Processing and Pattern Recognition
The Complex EGI: A New Representation for 3-D Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orientation-Based Differential Geometric Representations for Computer Vision Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Neural Network Approach to CSG-Based 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of Surface Geometry and Segmentation Using Covariance Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Geons by Parametric Deformable Contour Models
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Reconstruction of Smooth Surfaces with Arbitrary Topology Adaptive Splines
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Reliable Surface Reconstructiuon from Multiple Range Images
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Curve and surface smoothing without shrinkage
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
The self-organizing hierarchical optimal subspace learning and inference framework for view-based object recognition and image retrieval
Computer Vision and Image Understanding
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
International Journal of Computer Vision
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A novel technique for multi-scale curvature computation on a free-form 3-D surface is presented. This is achieved by convolving local parametrisations of the surface with 2-D Gaussian filters iteratively. In our technique, semigeodesic coordinates are constructed at each vertex of the mesh. Smoothing results are shown for 3-D surfaces with different shapes indicating that surface noise is eliminated and surface details are removed gradually. A number of evolution properties of 3-D surfaces are described. Next, the surface Gaussian and mean curvature values are estimated accurately at multiple scales which are then mapped to colours and displayed directly on the surface. The performance of the technique when selecting different directions as an arbitrary direction for the geodesic at each vertex are also presented. The results indicate that the error observed for the estimation of Gaussian and mean curvatures is quite low after only one iteration. Furthermore, as the surface is smoothed iteratively, the error is further reduced. The results also show that the estimation error of Gaussian curvature is less than that of mean curvature. Our experiments demonstrate that estimation of smoothed surface curvatures are very accurate and not affected by the arbitrary direction of the first geodesic line when constructing semigeodesic coordinates. Our technique is independent of the underlying triangulation and is also more efficient than volumetric diffusion techniques since 2-D rather than 3-D convolutions are employed. Finally, the method presented here is a generalisation of the Curvature Scale Space method for 2-D contours. The CSS method has outperformed comparable techniques within the MPEG-7 evaluation framework. As a result, it has been selected for inclusion in the MPEG-7 package of standards.