Closed-Form Solutions for Physically Based Shape Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based image interpretation using genetic algorithms
Image and Vision Computing - Special issue: BMVC 1991
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Active shape models—their training and application
Computer Vision and Image Understanding
Recognition by functional parts
Computer Vision and Image Understanding - Special issue of funtion-based vision
FORMS: a flexible object recognition and modeling system
International Journal of Computer Vision
Shape Evolution With Structural and Topological Changes Using Blending
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient deformable template detection and localization without user initialization
Computer Vision and Image Understanding
Modal Matching for Correspondence and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Organisms for Automatic Medical Image Analysis
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Extending Active Shape Models to Incorporate a-priori Knowledge about Structural Variability
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A shock grammar for recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Connected Vibrations: A Modal Analysis Approach for Non-Rigid Motion Tracking
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pictorial Structures for Object Recognition
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation and Detection of Deformable Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering Human Body Configurations Using Pairwise Constraints between Parts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Guiding Model Search Using Segmentation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Training Deformable Models for Localization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Body Localization in Still Images Using Hierarchical Models and Hybrid Search
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A spectral approach to learning structural variations in graphs
Pattern Recognition
Object recognition using wavelets, L-G graphs and synthesis of regions
Pattern Recognition
Human Limb Delineation and Joint Position Recovery Using Localized Boundary Models
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
A new graph cut-based multiple active contour algorithm without initial contours and seed points
Machine Vision and Applications
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Efficient image segmentation using pairwise pixel similarities
Proceedings of the 29th DAGM conference on Pattern recognition
Improving segmentation of the left ventricle using a two-component statistical model
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Fast free-vibration modal analysis of 2-D physics-based deformable objects
IEEE Transactions on Image Processing
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We propose a technique for the recognition and segmentation of complex shapes in 2D images using a hierarchy of finite element vibration modes in an evolutionary shape search. The different levels of the shape hierarchy can influence each other, which can be exploited in top-down part-based image analysis. Our method overcomes drawbacks of existing structural approaches, which cannot uniformly encode shape variation and co-variation, or rely on training. We present results demonstrating that by utilizing a quality-of-fit function the model explicitly recognizes missing parts of a complex shape, thus allowing for categorization between shape classes.