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International Journal of Computer Vision
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I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
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ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Theory of Networks for Approximation and Learning
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Characterization of Neuropathological Shape Deformations
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Graph Matching With a Dual-Step EM Algorithm
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A Framework for Automatic Landmark Identification Using a New Method of Nonrigid Correspondence
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International Journal of Computer Vision
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The ellipsoidal skeleton in medical applications
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Hidden Markov Models with Spectral Features for 2D Shape Recognition
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Principal Manifolds and Probabilistic Subspaces for Visual Recognition
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Shape Matching and Object Recognition Using Shape Contexts
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A Unified Framework for Indexing and Matching Hierarchical Shape Structures
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Linear Shape Recognition with Mixtures of Point Distribution Models
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A New Distance Measure for Non-rigid Image Matching
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Metric Similarities Learning through Examples: An Application to Shape Retrieval
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Model Library for Deformable Model-Based Segmentation of 3-D Brain MR-Images
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
A Computational Algebraic Topology Model for the Deformation of Curves
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
Procrustes Alignment with the EM Algorithm
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Relational Constraints for Point Distribution Models
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
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A Hierarchical Framework for Spectral Correspondence
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Fast retrieval of isolated visual shapes
Computer Vision and Image Understanding
A Graph Based Object Description for Information Retrieval in Digital Image and Video Libraries
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Automatic Hierarchical Classification of Silhouettes of 3D Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Active blobs: region-based, deformable appearance models
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Correspondence Matching with Modal Clusters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphing of image represented objects using a physical methodology
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An Eigenspace Projection Clustering Method for Inexact Graph Matching
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Facial Expression Transportation with FES
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
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Effective invariant features for shape-based image retrieval: Research Articles
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Curves vs. skeletons in object recognition
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Indexing Hierarchical Structures Using Graph Spectra
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Model Abstraction from Examples
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A Field Model for Human Detection and Tracking
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2D-Shape Analysis Using Conformal Mapping
International Journal of Computer Vision
The representation and matching of categorical shape
Computer Vision and Image Understanding
SVD-matching using SIFT features
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A spectral approach to shape-based retrieval of articulated 3D models
Computer-Aided Design
Laplace spectra as fingerprints for image recognition
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Kernel PCA for similarity invariant shape recognition
Neurocomputing
A curve matching algorithm for dynamic image sequences
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Indexing through laplacian spectra
Computer Vision and Image Understanding
Retrieving articulated 3-D models using medial surfaces
Machine Vision and Applications
Spectral Modes of Facial Needle-Maps
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Robust Wide Baseline Feature Point Matching Based on Scale Invariant Feature Descriptor
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Pattern Recognition Letters
Performance Analysis of the ARIA Adaptive Media Processing Workflows using Colored Petri Nets
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Robust sequential view planning for object recognition using multiple cameras
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Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis
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Recovery of myocardial kinematic function without the time history of external loads
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Non-rigid registration under isometric deformations
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Continuous curve matching with scale-space curvature and extrema-based scale selection
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Hi-index | 0.15 |
Modal matching is a new method for establishing correspondences and computing canonical descriptions. The method is based on the idea of describing objects in terms of generalized symmetries, as defined by each object驴s eigenmodes. The resulting modal description is used for object recognition and categorization, where shape similarities are expressed as the amounts of modal deformation energy needed to align the two objects. In general, modes provide a global-to-local ordering of shape deformation and thus allow for selecting which types of deformations are used in object alignment and comparison. In contrast to previous techniques, which required correspondence to be computed with an initial or prototype shape, modal matching utilizes a new type of finite element formulation that allows for an object驴s eigenmodes to be computed directly from available image information. This improved formulation provides greater generality and accuracy, and is applicable to data of any dimensionality. Correspondence results with 2D contour and point feature data are shown, and recognition experiments with 2D images of hand tools and airplanes are described.