DocumentCode :
3278155
Title :
High-resolution surface reconstruction based on multi-level implicit surface from multiple range images
Author :
Noguchi, So ; Watanabe, Yoshihiro ; Ishikawa, Masatoshi
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
2140
Lastpage :
2144
Abstract :
In this paper, we propose a method for improving the resolution of a 3D shape reconstructed from multiple range images acquired from a moving target. In our approach, the alignment and surface estimation problems are solved in a simultaneous estimation framework based on multi-level implicit surface. We present results of experiments for evaluating the reconstruction accuracy with different point cloud densities and noise levels which shows that our method achieved good performance even when the input range images were low-resolution and sparse.
Keywords :
image reconstruction; image resolution; 3D shape resolution; alignment estimation problem; high-resolution surface reconstruction; multilevel implicit surface; multiple range images; noise level; point cloud density; simultaneous estimation framework; surface estimation problems; 3D point cloud; Range image; alignment; resolution enhancement; surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738441
Filename :
6738441
Link To Document :
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