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.
several minutes, are now performed in few seconds.
Original language | English |
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Title of host publication | Trends and Topics in Computer Vision : ECCV 2010 Workshops, Heraklion, Crete, Greece, September 10-11, 2010, Revised Selected Papers, Part II |
Editors | Kiriakos N. Kutulakos |
Number of pages | 13 |
Volume | Part II |
Publisher | Springer |
Publication date | 2012 |
Pages | 359-371 |
ISBN (Print) | 978-3-642-35739-8 |
ISBN (Electronic) | 978-3-642-35740-4 |
DOIs | |
Publication status | Published - 2012 |
Event | Workshop on Computer Vision on GPUs - Heraklion, Greece Duration: 10 Sept 2010 → 11 Sept 2010 |
Workshop
Workshop | Workshop on Computer Vision on GPUs |
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Country/Territory | Greece |
City | Heraklion |
Period | 10/09/2010 → 11/09/2010 |
Series | Lecture notes in computer science |
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Volume | 6554 |
ISSN | 0302-9743 |