Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Automatic landmark generation for Point Distribution Models
BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
A Framework for Automatic Landmark Identification Using a New Method of Nonrigid Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Method for Constructing Optimal Statistical Shape Models
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A Feature Registration Framework Using Mixture Models
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
An affine invariant deformable shape representation for general curves
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parameterisation Invariant Statistical Shape Models
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Core Points - A Framework For Structural Parameterization
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Constructing dense correspondences for the analysis of 3D facial morphology
Pattern Recognition Letters
Automated interpretation of cardiac scintigrams
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Aligning shapes by minimising the description length
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Simultaneous segmentation and correspondence establishment for statistical shape models
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
| Hi-index | 0.00 |
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several algorithms are available and benchmarking is needed to rank the different algorithms. Prior work has argued that the quality of the models produced by the algorithms can be evaluated by measuring compactness, generality and specificity. In this paper severe problems with these standard measures are analysed both theoretically and experimentally both on natural and synthetic datasets. We also propose that a Ground Truth Correspondence Measure (GCM) is used for benchmarking and in this paper benchmarking is performed on several state of the art algorithms using seven real and one synthetic dataset.