Accelerating feature extraction for patch-based multi-view stereo algorithm
Refereed conference paper presented and published in conference proceedings

Times Cited
Altmetrics Information

Other information
AbstractIn this paper, we present a novel parallel implementation of HARRIS and DOG detector on GPU for feature extractions of Patch-based Multi-View Stereo (PMVS) algorithm in image sequence. With the Compute Unified Device Architecture(CUDA)-enabled GPU, the acceleration is significant and it obtains a 34 times performance boost comparing to a CPU implementation. We adopt the hardware built-in bilinear interpolation of texture to shorten the time for image resampling while doing image transformations. While lots of time can be saved by using our improved PMVS Algorithm with GPU-based feature extraction, experimental results also show that our implementation can obtain fine details for building accurate object and scene models. © 2010 IEEE.
All Author(s) ListZhang H., Xie Y., Heng P.-A.
Name of Conference2010 International Conference on Computer Design and Applications, ICCDA 2010
Start Date of Conference25/06/2010
End Date of Conference27/06/2010
Place of ConferenceQinhuangdao, Hebei
Country/Region of ConferenceChina
Volume Number5
LanguagesEnglish-United Kingdom

Last updated on 2021-12-05 at 01:56