Perceptual organization and the representation of natural form
Artificial Intelligence
Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Hyperquadrics: smoothly deformable shapes with convex polyhedral bounds
Computer Vision, Graphics, and Image Processing
The geometry of projective blending surfaces
Artificial Intelligence - Special issue on geometric reasoning
Solid shape
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Closed-Form Solutions for Physically Based Shape Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Volumetric shape description of range data using “Blobby Model”
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Generative modeling for computer graphics and CAD: symbolic shape design using interval analysis
Generative modeling for computer graphics and CAD: symbolic shape design using interval analysis
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
Multiresolution stochastic hybrid shape models with fractal priors
ACM Transactions on Graphics (TOG) - Special issue on interactive sculpting
Physics-based modeling of nonrigid objects for vision and graphics
Physics-based modeling of nonrigid objects for vision and graphics
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis and Synthesis of Facial Image Sequences Using Physical and Anatomical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Level Shape Representation Using Global Deformations andLocally Adaptive Finite Elements
International Journal of Computer Vision
Shape Evolution With Structural and Topological Changes Using Blending
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creating generative models from range images
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of 3D Medical Structures Using Robust Ray Propagation
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Incremental Model-Based Estimation Using Geometric Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
SQ-Map: Efficient Layered Collision Detection and Haptic Rendering
IEEE Transactions on Visualization and Computer Graphics
3D human model and joint parameter estimation from monocular image
Pattern Recognition Letters
Recover human pose from monocular image under weak perspective projection
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
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This paper develops a new class of parameterized models based on the linear interpolation of two parameterized shapes along their main axes, using a blending function. This blending function specifies the relative contribution of each component shape on the resulting blended shape. The resulting blended shape can have aspects of each of the component shapes. Using a small number of additional parameters, blending extends the coverage of shape primitives while also providing abstraction of shape. In particular, it offers the ability to construct shapes whose genus can change. Blended models are incorporated into a physics-based shape estimation framework which uses dynamic deformable models. Finally, we present experiments involving the extraction of complex shapes from range data including examples of dynamic genus change.