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Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Sparse Texture Representation Using Local Affine Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformation Invariant Image Matching
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Hierarchical Procrustes Matching for Shape Retrieval
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A Projective Invariant for Textures
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Analysis of Two-Dimensional Non-Rigid Shapes
International Journal of Computer Vision
Geometry-Based Image Retrieval in Binary Image Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dissimilarity between two skeletal trees in a context
Pattern Recognition
2D Shape Matching by Contour Flexibility
IEEE Transactions on Pattern Analysis and Machine Intelligence
Disconnected Skeleton: Shape at Its Absolute Scale
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interior distance using barycentric coordinates
SGP '09 Proceedings of the Symposium on Geometry Processing
International Journal of Computer Vision
EMD-L1: an efficient and robust algorithm for comparing histogram-based descriptors
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Beyond pairwise shape similarity analysis
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
On bending invariant signatures for surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
A general framework for low level vision
IEEE Transactions on Image Processing
A multiscale representation method for nonrigid shapes with a single closed contour
IEEE Transactions on Circuits and Systems for Video Technology
Exploiting contextual spaces for image re-ranking and rank aggregation
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Shape description by bending invariant moments
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Image re-ranking and rank aggregation based on similarity of ranked lists
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Shape matching and classification using height functions
Pattern Recognition Letters
A perceptually motivated morphological strategy for shape retrieval
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Exploiting pairwise recommendation and clustering strategies for image re-ranking
Information Sciences: an International Journal
Perceptually motivated morphological strategies for shape retrieval
Pattern Recognition
Trademark image retrieval using an integrated shape descriptor
Expert Systems with Applications: An International Journal
Local phase quantization descriptor for improving shape retrieval/classification
Pattern Recognition Letters
Densifying Distance Spaces for Shape and Image Retrieval
Journal of Mathematical Imaging and Vision
Perceptually motivated shape context which uses shape interiors
Pattern Recognition
Image re-ranking and rank aggregation based on similarity of ranked lists
Pattern Recognition
Shape retrieval and recognition based on fuzzy histogram
Journal of Visual Communication and Image Representation
A scalable re-ranking method for content-based image retrieval
Information Sciences: an International Journal
Image and Vision Computing
Using contextual spaces for image re-ranking and rank aggregation
Multimedia Tools and Applications
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We propose a novel framework, aspect space, to balance deformability and discriminability, which are often two competing factors in shape and image representations. In this framework, an object is embedded as a surface in a higher dimensional space with a parameter named aspect weight, which controls the importance of intensity in the embedding. We show that this framework naturally unifies existing important shape and image representations by adjusting the aspect weight and the embedding. More importantly, we find that the aspect weight implicitly controls the degree to which a representation handles deformation. Based on this idea, we present the aspect shape context, which extends shape context-based descriptors and adaptively selects the "best" aspect weight for shape comparison. Another observation we have is the proposed descriptor nicely fits context-sensitive shape retrieval. The proposed methods are evaluated on two public datasets, MPEG7-CE-Shape-1 and Tari 1000, in comparison to state-of-the-art solutions. In the standard shape retrieval experiment using the MPEG7 CE-Shape-1 database, the new descriptor with context information achieves a bull's eye score of 95.96%, which surpassed all previous results. In the Tari 1000 dataset, our methods significantly outperform previous tested methods as well.