Accelerating image recognition on mobile devices using GPGPU

Miguel Bordallo López, Henri Nykänen, Jari Hannuksela, Olli Silvén, Markku Vehviläinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

34 Citations (Scopus)

Abstract

The future multi-modal user interfaces of battery-powered mobile devices are expected to require computationally costly image analysis techniques. The use of Graphic Processing Units for computing is very well suited for parallel processing and the addition of programmable stages and high precision arithmetic provide for opportunities to implement energy-efficient complete algorithms. At the moment the first mobile graphics accelerators with programmable pipelines are available, enabling the GPGPU implementation of several image processing algorithms. In this context, we consider a face tracking approach that uses efficient gray-scale invariant texture features and boosting. The solution is based on the Local Binary Pattern (LBP) features and makes use of the GPU on the pre-processing and feature extraction phase. We have implemented a series of image processing techniques in the shader language of OpenGL ES 2.0, compiled them for a mobile graphics processing unit and performed tests on a mobile application processor platform (OMAP3530). In our contribution, we describe the challenges of designing on a mobile platform, present the performance achieved and provide measurement results for the actual power consumption in comparison to using the CPU (ARM) on the same platform.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Parallel Processing for Imaging Applications
PublisherInternational Society for Optics and Photonics SPIE
ISBN (Print)978-081948409-3
DOIs
Publication statusPublished - 2011
MoE publication typeNot Eligible
EventParallel Processing for Imaging Applications - San Francisco, CA, United States
Duration: 24 Jan 201125 Jan 2011

Publication series

SeriesProceedings of SPIE - The International Society for Optical Engineering
Volume7872
ISSN0277-786X

Conference

ConferenceParallel Processing for Imaging Applications
Country/TerritoryUnited States
CitySan Francisco, CA
Period24/01/1125/01/11

Keywords

  • cell phone
  • Computer vision
  • GPGPU
  • graphics processing unit
  • image recognition

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