Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Organizing Large Structural Modelbases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Matching by Discrete Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph matching for shape retrieval
Proceedings of the 1998 conference on Advances in neural information processing systems II
Structural Matching in Computer Vision Using Probabilistic Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene analysis using appearance-based models and relational indexing
ISCV '95 Proceedings of the International Symposium on Computer Vision
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Polyhedral object recognition by indexing
Pattern Recognition
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition Using Shape-from-Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region-Based Object Recognition Using Shape-from-Shading
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Graph-Based Methods for Vision: A Yorkist Manifesto
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Shape Retrieval by Hierarchical Evolution
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A Color Image Retrieval Method Based on Local Histogram
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Similarity learning for graph-based image representations
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Multiresolution Histograms and Their Use for Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transformation of Compressed Domain Features for Content-Based Image Indexing and Retrieval
Multimedia Tools and Applications
ALSBIR: A local-structure-based image retrieval
Pattern Recognition
Part-Based Object Retrieval in Cluttered Environment
IEEE Transactions on Pattern Analysis and Machine Intelligence
A general shape context framework for object identification
Computer Vision and Image Understanding
Graph characteristics from the heat kernel trace
Pattern Recognition
Palmprint identification using pairwise relative angle and EMD
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
REM: relational entropy-based measure of saliency
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Transform based face recognition with partial and full feature vector using DCT and Walsh transform
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Segmentation and retrieval of ancient graphic documents
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
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This paper presents a new compact shape representation for retrieving line-patterns from large databases. The basic idea is to exploit both geometric attributes and structural information to construct a shape histogram. We realize this goal by computing the N-nearest neighbor graph for the lines-segments for each pattern. The edges of the neighborhood graphs are used to gate contributions to a two-dimensional pairwise geometric histogram. Shapes are indexed by searching for the line-pattern that maximizes the cross correlation of the normalized histogram bin-contents. We evaluate the new method on a database containing over 2,500 line-patterns each composed of hundreds of lines.