Lunar terrain reconstruction using PDEs

Based on the geometry features of lunar terrain, this paper treats lunar terrain reconstruction as a surface reconstruction problem. We define an energy functional model consisting of local energy term and smooth energy term for lunar terrain reconstruction. The solution to minimize the functional (...

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Bibliographic Details
Published in2008 15th IEEE International Conference on Image Processing pp. 1504 - 1507
Main Authors Ji Liu, Yang Cong, Xiaomao Li, Yuechao Wang, Yandong Tang, Chuan Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Cameras
Costs
Energy measurement
Image reconstruction
Lunar terrain reconstruction
Moon
PDEs
Robot vision systems
Robotics and automation
Stereo vision
Surface reconstruction
Surface treatment
Vector field of depth discontinuousness likelihood
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Summary:Based on the geometry features of lunar terrain, this paper treats lunar terrain reconstruction as a surface reconstruction problem. We define an energy functional model consisting of local energy term and smooth energy term for lunar terrain reconstruction. The solution to minimize the functional (by partial differential equations) is defined as the optimal surface. In the smooth energy term, we design a vector field of depth discontinuousness likelihood (VFDDL) to control the direction and degree of smoothing. Experiments indicate that accurate VFDDL can lead to an exact reconstructed surface. Thus, VFDDL transfers 3D terrain reconstruction into a 2D image processing problem. An innovative method is proposed to estimate VFDDL, using image local and statistical features. Experiments verify our method and show a good performance in terrain reconstruction.
ISBN:9781424417650
1424417651
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2008.4712052