Title :
GPU-boosted online image matching
Author :
Chariot, Alexandre ; Keriven, Renaud
Author_Institution :
CERTIS, Ecole des ponts, France
Abstract :
Matching feature points between images is a key point in many computer vision tasks. As the number of images increases, this rapidly becomes a bottleneck. We here present how to use the power of GPUs to obtain image matching in typically 20 ms for one thousand points. This speedup makes applications like interactive image matching possible. Such a portable system, dedicated to 3D large scale reconstruction, is reported.
Keywords :
computer vision; image matching; computer vision; image matching; portable system; Acceleration; Application software; Central Processing Unit; Color; Computer vision; Histograms; Image matching; Large-scale systems; Pipelines; Robustness;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761174
