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Morphological shape context: Semi-locality and robust matching in shape recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5856 LNCS 129-136
DOI: 10.1007/978-3-642-10268-4_15
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Abstract

We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contributions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval. © 2009 Springer-Verlag Berlin Heidelberg.

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APA

Tepper, M., Gómez, F., Musé, P., Almansa, A., & Mejail, M. (2009). Morphological shape context: Semi-locality and robust matching in shape recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 129–136). https://doi.org/10.1007/978-3-642-10268-4_15

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