Fast cortical keypoints for real-time object recognition

• Author(s): Terzic, Kasim ; Rodrigues, J. M. F. ; du Buf, J. M. H.
• Date: 2013
• Persistent ID: http://hdl.handle.net/10400.1/3375
• Origin: Sapientia - Universidade do Algarve
• Subject(s): Computer vision; Object recognition; Image classification; Gabor filters; Real time systems
• Document Type: Conference Object
• Language: English

Description

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.