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Publicação
Real-Time Object Recognition Based on Cortical Multi-scale Keypoints
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Orientador(es)
Resumo(s)
In recent years, a large number of impressive object categorisation algorithms have surfaced, both computational and biologically motivated. While results on standardised benchmarks are impressive, very few of the best-performing algorithms took run-time performance into account, rendering most of them useless for real-time active vision scenarios such as cognitive robots. In this paper, we combine cortical keypoints based on primate area V1 with a state-of-the-art nearest neighbour classifier, and show that such a system can approach state-of-the-art categorisation performance while meeting the real-time constraint.
Descrição
Palavras-chave
Pattern Recognition Computer imaging Vision Computer Graphics Artificial Intelligence
Contexto Educativo
Citação
Terzic, Kasim; Rodrigues, Joao M. F.; du Buf, J. M. Hans. Real-Time Object Recognition Based on Cortical Multi-scale Keypoints, In Pattern Recognition and Image Analysis, 314-321, ISBN: 978-3-642-38627-5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Editora
Springer Berlin Heidelberg