GPU accelerated likelihoods for stereo-based articulated tracking

Rune Møllegaard Friborg, Søren Hauberg, Kenny Erleben

1 Citationer (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.
OriginalsprogEngelsk
TitelTrends and Topics in Computer Vision : ECCV 2010 Workshops, Heraklion, Crete, Greece, September 10-11, 2010, Revised Selected Papers, Part II
RedaktørerKiriakos N. Kutulakos
Antal sider13
Vol/bindPart II
ForlagSpringer
Publikationsdato2012
Sider359-371
ISBN (Trykt)978-3-642-35739-8
ISBN (Elektronisk)978-3-642-35740-4
DOI
StatusUdgivet - 2012
BegivenhedWorkshop on Computer Vision on GPUs - Heraklion, Grækenland
Varighed: 10 sep. 201011 sep. 2010

Workshop

WorkshopWorkshop on Computer Vision on GPUs
Land/OmrådeGrækenland
ByHeraklion
Periode10/09/201011/09/2010
NavnLecture notes in computer science
Vol/bind6554
ISSN0302-9743

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