Index-based object recognition in pictorial data management
Computer Vision, Graphics, and Image Processing
Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural shape indexing with feature generation models
Computer Vision and Image Understanding
Multidimensional Indexing for Recognizing Visual Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Indexing Using Shape-Based Visual Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Dissimilarity between two skeletal trees in a context
Pattern Recognition
Hi-index | 0.01 |
A robust method is presented for retrieval of model shapes that have parts similar to the query shape presented to the image database. Structural feature indexing is a potential approach to efficient shape retrieval from large databases, but it is sensitive to noise, scales of observation, and local shape deformations. To improve the robustness, shape feature generation techniques are incorporated into structural indexing based on quasi-invariant shape signatures. The feature transformation rules obtained by an analysis of some particular types of shape deformations are exploited to generate features that can be extracted from deformed patterns. Effectiveness is confirmed through experimental trials with databases of boundary contours, and is validated by systematically designed experiments with a large number of synthetic data.