On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of database systems
Fundamentals of database systems
Visual Image Retrieval by Elastic Matching of User Sketches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental clustering and dynamic information retrieval
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
The Grid File: An Adaptable, Symmetric Multikey File Structure
ACM Transactions on Database Systems (TODS)
Invariance signatures: characterizing contours by their departures from invariance
Computer Vision and Image Understanding
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
The TV-tree: an index structure for high-dimensional data
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation and Self-Similarity of Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
ImageRover: A Content-Based Image Browser for the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Gestalt theory in visual screen design: a new look at an old subject
CRPIT '02 Proceedings of the Seventh world conference on computers in education conference on Computers in education: Australian topics - Volume 8
Metric-Based Shape Retrieval in Large Databases
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
On the Intrinsic Reconstruction of Shape from Its Symmetries
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
Relative Karhunen-Loeve Transform Method for Pattern Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Range Image Registration Preserving Local Structures of Object Surfaces
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A new shape decomposition scheme for graph-based representation
Pattern Recognition
Shape feature matching for trademark image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Algorithms for Shape Analysis of Contours and Waveforms
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Curvature of n-dimensional space curves in grey-value images
IEEE Transactions on Image Processing
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
Shape detection from line drawings with local neighborhood structure
Pattern Recognition
Image retrieval based on multi-texton histogram
Pattern Recognition
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The general-purpose shape retrieval problem is a challenging task. Particularly, an ideal technique, which can work in clustered environment, meet the requirements of perceptual similarity measure on partial query and overcoming dimensionality curse and adverse environment, is in demand. This paper reports our study on one local structural approach that addresses these issues. Shape representation and indexing are two key points in shape retrieval. The proposed approach combines a novel local-structure-based shape representation and a new histogram indexing structure. The former makes possible partial shape matching of objects without the requirement of segmentation (separation) of objects from complex background, while the latter has an advantage on indexing performance. The search time is linearly proportional to the input complexity. In addition, the method is relatively robust under adverse environments. It is able to infer retrieval results from incomplete information of an input by first extracting consistent and structurally unique local neighborhood information from inputs or models, and then voting on the optimal matches. Thousands of images have been used to test the proposed concepts on sensitivity analysis, similarity-based retrieval, partial query and mixed object query. Very encouraging experimental results with respect to efficiency and effectiveness have been obtained.