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
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
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Efficient and robust information retrieval from large image databases is an essential functionality for the reuse, manipulation, and editing of multimedia documents. Structural feature indexing is a potential approach to efficient shape retrieval from large image databases, but the indexing is sensitive to noise, scales of observation, and local shape deformations. It has now been confirmed that efficiency of classification and robustness against noise and local shape transformations can be improved through the feature indexing approach incorporating shape feature generation techniques. Based on this approach, an efficient, robust method is presented for retrieval of model shapes that have parts similar to the query shape presented to the image database. Effectiveness is confirmed through experimental trials with a large database of boundary contours, and is validated by systematically designed experiments with a large number of synthetic data.