Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Computable elastic distances between shapes
SIAM Journal on Applied Mathematics
Non-Rigid Shape Comparison of Plane Curves in Images
Journal of Mathematical Imaging and Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking Points on Deformable Objects Using Curvature Information
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms
International Journal of Computer Vision
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D-shape analysis using conformal mapping
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Analysis of Two-Dimensional Non-Rigid Shapes
International Journal of Computer Vision
A Context Dependent Distance Measure for Shape Clustering
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images
International Journal of Computer Vision
An Intrinsic Framework for Analysis of Facial Surfaces
International Journal of Computer Vision
Shape of Elastic Strings in Euclidean Space
International Journal of Computer Vision
Elastic Shape Models for Face Analysis Using Curvilinear Coordinates
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
Nasal Region Contribution in 3D Face Biometrics Using Shape Analysis Framework
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Shape Metrics Based on Elastic Deformations
Journal of Mathematical Imaging and Vision
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
Foundations and Trends in Signal Processing
A Computational Model of Multidimensional Shape
International Journal of Computer Vision
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Shape analysis of open curves in R3with applications to study of fiber tracts in DT-MRI data
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Computer Vision and Image Understanding
A Bayesian generative model for surface template estimation
Journal of Biomedical Imaging
Orientation and anisotropy of multi-component shapes from boundary information
Pattern Recognition
Measuring linearity of open planar curve segments
Image and Vision Computing
Image and Vision Computing
Spaces and manifolds of shapes in computer vision: An overview
Image and Vision Computing
Statistical analysis of manual segmentations of structures in medical images
Computer Vision and Image Understanding
Journal of Multivariate Analysis
Computer Vision and Image Understanding
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We study shapes of planar arcs and closed contours modeled on elastic curves obtained by bending, stretching or compressing line segments non-uniformly along their extensions. Shapes are represented as elements of a quotient space of curves obtained by identifying those that differ by shape-preserving transformations. The elastic properties of the curves are encoded in Riemannian metrics on these spaces. Geodesics in shape spaces are used to quantify shape divergence and to develop morphing techniques. The shape spaces and metrics constructed are novel and offer an environment for the study of shape statistics. Elasticity leads to shape correspondences and deformations that are more natural and intuitive than those obtained in several existing models. Applications of shape geodesics to the definition and calculation of mean shapes and to the development of shape clustering techniques are also investigated.