Evidence-Based Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IWVF-4 Proceedings of the 4th International Workshop on Visual Form
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Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
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ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
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PROFES '02 Proceedings of the 4th International Conference on Product Focused Software Process Improvement
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We consider how machine learning can be used to help solve the problem of identifying objects or structures composed of parts in complex scenes. We first discuss a conditional rule generation technique (CRG) that is designed to describe structures using part attributes and their relations. We then show how the resultant rules can be used for region labeling and examine constraint propagation techniques for improving rule-based object classification.