TY - GEN
T1 - Parallel generalized thresholding scheme for live dense geometry from a handheld camera
AU - Stühmer, Jan
AU - Gumhold, Stefan
AU - Cremers, Daniel
PY - 2012
Y1 - 2012
N2 - Inspired by recent successes in parallelized optic flow estimation, we propose a variational method which allows to directly estimate dense depth fields from a single hand-held camera in real-time conditions. In particular we show how the central ingredient of the corresponding optic flow method, namely a thresholding scheme, can be generalized to the problem of geometric reconstruction considered in this paper and how it can be parallelized on recent graphics cards. We compare alternative parallelization strategies and experimentally validate that high-quality depth maps can be computed in a few milliseconds from a hand-held camera.
AB - Inspired by recent successes in parallelized optic flow estimation, we propose a variational method which allows to directly estimate dense depth fields from a single hand-held camera in real-time conditions. In particular we show how the central ingredient of the corresponding optic flow method, namely a thresholding scheme, can be generalized to the problem of geometric reconstruction considered in this paper and how it can be parallelized on recent graphics cards. We compare alternative parallelization strategies and experimentally validate that high-quality depth maps can be computed in a few milliseconds from a hand-held camera.
UR - https://www.scopus.com/pages/publications/84871126547
U2 - 10.1007/978-3-642-35740-4_35
DO - 10.1007/978-3-642-35740-4_35
M3 - Conference contribution
AN - SCOPUS:84871126547
SN - 9783642357398
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 450
EP - 462
BT - Trends and Topics in Computer Vision - ECCV 2010 Workshops, Revised Selected Papers
T2 - 11th European Conference on Computer Vision, ECCV 2010
Y2 - 10 September 2010 through 11 September 2010
ER -