A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic two-strip algorithm in curve fitting
Pattern Recognition
Visual Image Retrieval by Elastic Matching of User Sketches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariance signatures: characterizing contours by their departures from invariance
Computer Vision and Image Understanding
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Critical Point Detection of Digital Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
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 new shape decomposition scheme for graph-based representation
Pattern Recognition
Scale-invariant shape features for recognition of object categories
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
Techniques and data structures for efficient multimedia retrieval based on similarity
IEEE Transactions on Multimedia
Image registration and object recognition using affine invariants and convex hulls
IEEE Transactions on Image Processing
Is the contextual information relevant in text clustering by compression?
Expert Systems with Applications: An International Journal
Object recognition using discriminative parts
Computer Vision and Image Understanding
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A general shape context framework is proposed for object/image retrieval in occluded and cluttered environment with hundreds of models as the potential matches of an input. The approach is general since it does not require separation of input objects from complex background. It works by first extracting consistent and structurally unique local neighborhood information from inputs or models, and then voting on the optimal matches. Its performance degrades gracefully with respect to the amount of structural information that is being occluded or lost. The local neighborhood information applicable to the system can be shape, color, texture feature, etc. Currently, we employ shape information only. The mechanism of voting is based on a novel hyper cube based indexing structure, and driven by dynamic programming. The proposed concepts have been tested on database with thousands of images. Very encouraging results have been obtained.