Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Earth Mover's Distance Algorithm for Robust Histogram Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
International Journal of Computer Vision
Analysis of Two-Dimensional Non-Rigid Shapes
International Journal of Computer Vision
Embedding and similarity search for point sets under translation
Proceedings of the twenty-fourth annual symposium on Computational geometry
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Description of interest regions with local binary patterns
Pattern Recognition
Topology-Invariant Similarity of Nonrigid Shapes
International Journal of Computer Vision
Partial Similarity of Objects, or How to Compare a Centaur to a Horse
International Journal of Computer Vision
Object representation with local features in geodesic distance space
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
Foundations and Trends in Signal Processing
A probabilistic framework for tracking deformable soft tissue in minimally invasive surgery
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Face recognition by matching 2D and 3D geodesic distances
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Image matching using enclosed region detector
Journal of Visual Communication and Image Representation
International Journal of Computer Vision
Intrinsic regularity detection in 3D geometry
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Balancing deformability and discriminability for shape matching
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Critical nets and beta-stable features for image matching
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Scale invariant gabor descriptor-based noncooperative iris recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Optimal operations for visual categorization
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model
International Journal of Computer Vision
Random interest regions for object recognition based on texture descriptors and bag of features
Expert Systems with Applications: An International Journal
A novel visual organization based on topological perception
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Description of interest regions with center-symmetric local binary patterns
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Photometric heat kernel signatures
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Fast Local Self-Similarity for describing interest regions
Pattern Recognition Letters
Globally Optimal Estimation of Nonrigid Image Distortion
International Journal of Computer Vision
Face recognition by SVMs classification and manifold learning of 2D and 3D radial geodesic distances
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
Affine-invariant photometric heat kernel signatures
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Global Non-rigid Alignment of Surface Sequences
International Journal of Computer Vision
Heterogeneous bag-of-features for object/scene recognition
Applied Soft Computing
Genetic programming as strategy for learning image descriptor operators
Intelligent Data Analysis
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We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D space, with intensity weighted relative to distance in x-y. We show that as this weight increases, geodesic distances on the embedded surface are less affected by image deformations. In the limit, distances are deformation invariant. We use geodesic sampling to get neighborhood samples for interest points, then use a geodesic-intensity histogram (GIH) as a deformation invariant local descriptor. In addition to its invariance, the new descriptor automatically finds its support region. This means it can safely gather information from a large neighborhood to improve discriminability. Furthermore, we propose a matching method for this descriptor that is invariant to affine lighting changes. We have tested this new descriptor on interest point matching for two data sets, one with synthetic deformation and lighting change, another with real non-affine deformations. Our method shows promising matching results compared to several other approaches.