Terzic, KasimRodrigues, J. M. F.du Buf, J. M. H.2014-01-292014-01-292013-06Terzic, 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, 2013.978-3-642-38627-5AUT: JRO00913; DUB00865;http://hdl.handle.net/10400.1/3374In 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.engPattern RecognitionComputer imagingVisionComputer GraphicsArtificial Intelligencebook part2014-01-27http://dx.doi.org/ 10.1007/978-3-642-38628-2_37