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Journal articles
HOG-Dot: A Parallel Kernel-Based Gradient Extraction for Embedded Image Processing
Abstract : In this paper we propose HOG-Dot, a method for the direct computation of the polar image gradients coordinates from the pixels values. The proposed algorithm, to be used as the first step of the Histogram of Oriented Gradient (HOG) pipeline, approximates the exact gradient with its projection onto a versor chosen among the projection plane set. Instead of non linear computations, the HOG-Dot method exploits linear operations while introducing a bounded approximation error with respect to other HOG approaches, thus resulting a more suitable solution for embedded devices. Concerning the state of the art, it also achieves improved accuracy with the mathematical spatial gradient formulation.
Cited literature [9 references]
https://hal.archives-ouvertes.fr/hal-01220417
Contributor : Luca Maggiani <>
Submitted on : Monday, October 26, 2015 - 12:20:32 PM
Last modification on : Tuesday, April 20, 2021 - 11:22:14 AM
Long-term archiving on: : Friday, April 28, 2017 - 8:21:44 AM
Contributor : Luca Maggiani <>
Submitted on : Monday, October 26, 2015 - 12:20:32 PM
Last modification on : Tuesday, April 20, 2021 - 11:22:14 AM
Long-term archiving on: : Friday, April 28, 2017 - 8:21:44 AM
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HOG-Dot.pdf
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