Fast cortical keypoints for real-time object recognition

• Autor(es): Terzic, Kasim ; Rodrigues, J. M. F. ; du Buf, J. M. H.
• Data: 2013
• Identificador Persistente: http://hdl.handle.net/10400.1/3375
• Origem: Sapientia - Universidade do Algarve
• Assunto(s): Computer vision; Object recognition; Image classification; Gabor filters; Real time systems
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

Best-performing object recognition algorithms employ a large number features extracted on a dense grid, so they are too slow for real-time and active vision. In this paper we present a fast cortical keypoint detector for extracting meaningful points from images. It is competitive with state-of-the-art detectors and particularly well-suited for tasks such as object recognition. We show that by using these points we can achieve state-of-the-art categorization results in a fraction of the time required by competing algorithms.