TY - GEN
T1 - Resolution enhancement of PMD range maps
AU - Rajagopalan, A. N.
AU - Bhavsar, Arnav
AU - Wallhoff, Frank
AU - Rigoll, Gerhard
PY - 2008
Y1 - 2008
N2 - Photonic mixer device (PMD) range cameras are becoming popular as an alternative to algorithmic 3D reconstruction but their main drawbacks are low-resolution (LR) and noise. Recently, some interesting works have stressed on resolution enhancement of PMD range data. These works use high-resolution (HR) CCD images or stereo pairs. But such a system requires complex setup and camera calibration. In contrast, we propose a super-resolution method through induced camera motion to create a HR range image from multiple LR range images. We follow a Bayesian framework by modeling the original HR range as a Markov random field (MRF). To handle discontinuities, we propose the use of an edge-adaptive MRF prior. Since such a prior renders the energy function non-convex, we minimize it by graduated non-convexity.
AB - Photonic mixer device (PMD) range cameras are becoming popular as an alternative to algorithmic 3D reconstruction but their main drawbacks are low-resolution (LR) and noise. Recently, some interesting works have stressed on resolution enhancement of PMD range data. These works use high-resolution (HR) CCD images or stereo pairs. But such a system requires complex setup and camera calibration. In contrast, we propose a super-resolution method through induced camera motion to create a HR range image from multiple LR range images. We follow a Bayesian framework by modeling the original HR range as a Markov random field (MRF). To handle discontinuities, we propose the use of an edge-adaptive MRF prior. Since such a prior renders the energy function non-convex, we minimize it by graduated non-convexity.
UR - http://www.scopus.com/inward/record.url?scp=54249091294&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69321-5_31
DO - 10.1007/978-3-540-69321-5_31
M3 - Conference contribution
AN - SCOPUS:54249091294
SN - 3540693203
SN - 9783540693208
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 304
EP - 313
BT - Pattern Recognition - 30th DAGM Symposium, Proceedings
T2 - 30th DAGM Symposium on Pattern Recognition
Y2 - 10 June 2008 through 13 June 2008
ER -