One-Shot Learning of Object Categories
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Distinctive regions of 3D surfaces
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The Pyramid Match Kernel: Efficient Learning with Sets of Features
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Robust Object Recognition with Cortex-Like Mechanisms
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Partial matching of 3D shapes with priority-driven search
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Image classification using tensor representation
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Flexible Spatial Configuration of Local Image Features
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Groups of Adjacent Contour Segments for Object Detection
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Learning to Locate Informative Features for Visual Identification
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Evaluation of Localized Semantics: Data, Methodology, and Experiments
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Analysis of Two-Dimensional Non-Rigid Shapes
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Distinctive and compact features
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Max-margin Classification of Data with Absent Features
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Improved spectral relaxation methods for binary quadratic optimization problems
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Recognition and Tracking of 3D Objects
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Image-Based Information Guide on Mobile Devices
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ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
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VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
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Spatial Configuration of Local Shape Features for Discriminative Object Detection
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Efficient Random Sampling for Nonrigid Feature Matching
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CAD-based recognition of 3D objects in monocular images
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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From Images to Shape Models for Object Detection
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Coarse-to-fine global localization for mobile robots with hybrid maps of objects and spatial layouts
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Shape detection from line drawings with local neighborhood structure
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Hierarchical learning of dominant constellations for object class recognition
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RepFinder: finding approximately repeated scene elements for image editing
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Object category recognition using generative template boosting
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Recognizing activities with multiple cues
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MI-SIFT: mirror and inversion invariant generalization for SIFT descriptor
Proceedings of the ACM International Conference on Image and Video Retrieval
Expanded bag of words representation for object classification
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IEEE Transactions on Image Processing
Shape matching using coarse descriptors
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ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Automatic attribute discovery and characterization from noisy web data
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Improving local descriptors by embedding global and local spatial information
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Using partial edge contour matches for efficient object category localization
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Voting by grouping dependent parts
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Discriminative mixture-of-templates for viewpoint classification
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An improved pyramid matching kernel
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Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications
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Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences
International Journal of Computer Vision
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Pattern Recognition Letters
Common visual pattern discovery via graph matching
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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DAGM'06 Proceedings of the 28th conference on Pattern Recognition
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Contour-based object detection as dominant set computation
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International Journal of Computer Vision
A robust approach for object recognition
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Object detection by contour segment networks
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Topological Gabor descriptors: exploring a filter bank structure for image feature matching
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PMA: Pixel-based multi-anchor algorithm for image recognition on multi-core systems
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Co-occurrence random forests for object localization and classification
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
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ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Discrete minimum distortion correspondence problems for non-rigid shape matching
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
An intrinsic semantic framework for recognizing image objects
Multimedia Tools and Applications
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Computer Vision and Image Understanding
Robust line matching through line-point invariants
Pattern Recognition
Computer Graphics Forum
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Information Sciences: an International Journal
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ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
From meaningful contours to discriminative object shape
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Finding correspondence from multiple images via sparse and low-rank decomposition
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A segmentation-free method for image classification based on pixel-wise matching
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Recognition of Kannada characters extracted from scene images
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Image and Vision Computing
A linear programming based method for joint object region matching and labeling
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View-Invariant object detection by matching 3d contours
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Projective analysis for 3D shape segmentation
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SimLocator: robust locator of similar objects in images
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Robust point pattern matching based on spectral context
Pattern Recognition
Hough Pyramid Matching: Speeded-Up Geometry Re-ranking for Large Scale Image Retrieval
International Journal of Computer Vision
Reading the legends of Roman Republican coins
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Towards large-scale geometry indexing by feature selection
Computer Vision and Image Understanding
Dirichlet energy for analysis and synthesis of soft maps
SGP '13 Proceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing
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We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up correspondence as an integer quadratic programming problem, where the cost function has terms based on similarity of corresponding geometric blur point descriptors as well as the geometric distortion between pairs of corresponding feature points. The algorithm handles outliers, and thus enables matching of exemplars to query images in the presence of occlusion and clutter. Given the correspondences, we estimate an aligning transform, typically a regularized thin plate spline, resulting in a dense correspondence between the two shapes. Object recognition is then handled in a nearest neighbor framework where the distance between exemplar and query is the matching cost between corresponding points. We show results on two datasets. One is the Caltech 101 dataset (Fei-Fei, Fergus and Perona), an extremely challenging dataset with large intraclass variation. Our approach yields a 48% correct classification rate, compared to Fei-Fei et alýs 16%. We also show results for localizing frontal and profile faces that are comparable to special purpose approaches tuned to faces.