Evaluation of a hypothesizer for silhouette-based 3-D object recognition
نویسندگان
چکیده
Shape retrieval and shape-based object recognition are closely related problems; however, they have di2erent task contexts, performance criteria, and database characteristics. In previous work, we proposed a method for similarity-based 2-D shape retrieval using scale-space part decompositions, part-frequency distributions, and structural indexing. In this paper, we evaluate the use of that shape retrieval method as the hypothesis generation component of silhouette-based 3-D object recognition systems, using a performance criterion and test database appropriate for the new application. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
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عنوان ژورنال:
- Pattern Recognition
دوره 36 شماره
صفحات -
تاریخ انتشار 2003