GPU accelerated likelihoods for stereo-based articulated tracking

Rune Møllegaard Friborg, Søren Hauberg, Kenny Erleben

1 Citation (Scopus)

Abstract

For many years articulated tracking has been an active research topic in the computer vision community. While working solutions have been suggested, computational time is still problematic. We present a GPU implementation of a ray-casting based likelihood model that is orders of magnitude faster than a traditional CPU implementation. We explain the non-intuitive steps required to attain an optimized GPU implementation, where the dominant part is to hide the memory latency effectively. Benchmarks show that computations which previously required
several minutes, are now performed in few seconds.
Original languageEnglish
Title of host publicationTrends and Topics in Computer Vision : ECCV 2010 Workshops, Heraklion, Crete, Greece, September 10-11, 2010, Revised Selected Papers, Part II
EditorsKiriakos N. Kutulakos
Number of pages13
VolumePart II
PublisherSpringer
Publication date2012
Pages359-371
ISBN (Print)978-3-642-35739-8
ISBN (Electronic)978-3-642-35740-4
DOIs
Publication statusPublished - 2012
EventWorkshop on Computer Vision on GPUs - Heraklion, Greece
Duration: 10 Sept 201011 Sept 2010

Workshop

WorkshopWorkshop on Computer Vision on GPUs
Country/TerritoryGreece
CityHeraklion
Period10/09/201011/09/2010
SeriesLecture notes in computer science
Volume6554
ISSN0302-9743

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