An OpenCL-based feature matcher

Authors:
Giovanni Condello;Paolo Pasteris;Danilo Pau;Mariagiovanna Sami
Affiliations:
Dipartimento di Elettronica ed Informazione, Politecnico di Milano, Milano, Italy;Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy;Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy;Dipartimento di Elettronica ed Informazione, Politecnico di Milano, Milano, Italy
Venue:
Image Communication
Year:
2013

Citing 3
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Abstract

Nowadays visual search is one of the most active branches of computer vision. It relies on finding invariant points inside images, describing them into features and then matching these features against a reference database to identify objects in the scene or the entire photo (environment). In this paper, we discuss an approach to feature matching that exploits the capabilities of modern GPUs to speed up the aforementioned and that keeps low the number of false matches.