BIG-OH: BInarization of gradient orientation histograms

Extracting local keypoints and keypoint descriptions from images is a primary step for many computer vision and image retrieval applications. In the literature, many researchers have proposed methods for representing local texture around keypoints with varying levels of robustness to photometric and...

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Veröffentlicht in:	Image and vision computing 2014-11, Vol.32 (11), p.940-953
Hauptverfasser:	Baber, Junaid, Dailey, Matthew N., Satoh, Shin'ichi, Afzulpurkar, Nitin, Bakhtyar, Maheen
Format:	Artikel
Sprache:	eng
Schlagworte:	Computation Devices Gradient based keypoint descriptors Gradient orientation histograms Histograms Keypoint descriptor quantization Orientation Photometry Retrieval SIFT Texture
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