Skeleton growing and pruning with bending potential ratio
Pattern Recognition
Co-transduction for shape retrieval
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Nearest neighbour distance matrix classification
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Shape analysis for power signal cryptanalysis on secure components
Journal of Systems and Software
Learning context-sensitive similarity by shortest path propagation
Pattern Recognition
Faster Algorithms for Max-Product Message-Passing
The Journal of Machine Learning Research
Fast shape re-ranking with neighborhood induced similarity measure
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Searching historical manuscripts for near-duplicate figures
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Searching the past: an improved shape descriptor to retrieve maya hieroglyphs
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Shape matching and classification using height functions
Pattern Recognition Letters
Symbol recognition using spatial relations
Pattern Recognition Letters
The generalization of the R-transform for invariant pattern representation
Pattern Recognition
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
Perceptually motivated morphological strategies for shape retrieval
Pattern Recognition
Local phase quantization descriptor for improving shape retrieval/classification
Pattern Recognition Letters
On the dynamic time warping of cyclic sequences for shape retrieval
Image and Vision Computing
Densifying Distance Spaces for Shape and Image Retrieval
Journal of Mathematical Imaging and Vision
Perceptually motivated shape context which uses shape interiors
Pattern Recognition
A shape-based approach for leaf classification using multiscaletriangular representation
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Projective analysis for 3D shape segmentation
ACM Transactions on Graphics (TOG)
Shape retrieval and recognition based on fuzzy histogram
Journal of Visual Communication and Image Representation
Shape classification by manifold learning in multiple observation spaces
Information Sciences: an International Journal
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Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors for providing better similarity measure between pairs of shapes. In this paper, we provide a new perspective to this problem by considering the existing shapes as a group, and study their similarity measures to the query shape in a graph structure. Our method is general and can be built on top of any existing shape similarity measure. For a given similarity measure, a new similarity is learned through graph transduction. The new similarity is learned iteratively so that the neighbors of a given shape influence its final similarity to the query. The basic idea here is related to PageRank ranking, which forms a foundation of Google Web search. The presented experimental results demonstrate that the proposed approach yields significant improvements over the state-of-art shape matching algorithms. We obtained a retrieval rate of 91.61 percent on the MPEG-7 data set, which is the highest ever reported in the literature. Moreover, the learned similarity by the proposed method also achieves promising improvements on both shape classification and shape clustering.