HOG-Dot: A Parallel Kernel-Based Gradient Extraction for Embedded Image Processing

Luca Maggiani 1, 2 Cédric Bourrasset 2 Matteo Petracca 3 François Berry 2 Paolo Pagano 3 Claudio Salvadori 1
1 Scuola Superiore Sant'Anna [Pisa]
2 IP - Institut Pascal
3 CNIT c/o Dept. of Electronics & Telecommunications
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.
Document type :
Journal articles
Liste complète des métadonnées

Cited literature [9 references]  Display  Hide  Download
https://hal.archives-ouvertes.fr/hal-01220417
Contributor : Luca Maggiani <>
Submitted on : Monday, October 26, 2015 - 12:20:32 PM
Last modification on : Thursday, February 14, 2019 - 11:28:01 AM
Document(s) archivé(s) le : Friday, April 28, 2017 - 8:21:44 AM

File

HOG-Dot.pdf
Files produced by the author(s)

Identifiers

Collections

INSTITUT_PASCAL | PRES_CLERMONT | ACL-SPI | SIGMA-CLERMONT

Citation

Luca Maggiani, Cédric Bourrasset, Matteo Petracca, François Berry, Paolo Pagano, et al.. HOG-Dot: A Parallel Kernel-Based Gradient Extraction for Embedded Image Processing. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2015, ⟨10.1109/LSP.2015.2463092⟩. ⟨hal-01220417⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

205

Files downloads

299

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD