Real-time object recognition based on cortical multi-scale keypoints

Kasim Terzić, Joao M.F. Rodrigues, J. M.Hans Du Buf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationPattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings
Pages314-321
Number of pages8
DOIs
Publication statusPublished - 3 Sept 2013
Event6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013 - Funchal, Madeira, Portugal
Duration: 5 Jun 20137 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7887 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013
Country/TerritoryPortugal
CityFunchal, Madeira
Period5/06/137/06/13

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