HIGH-RESOLUTION SURFACE RECONSTRUCTION BASED ON MULTI-LEVEL IMPLICIT SURFACE FROM MULTIPLE RANGE IMAGES

被引：0

作者：

Noguchi, Shohei ^{[1
]}

Watanabe, Yoshihiro ^{[1
]}

Ishikawa, Masatoshi ^{[1
]}

机构：

[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Bunkyo Ku, Tokyo 1138656, Japan

来源：

2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年

关键词：

Range image; 3D point cloud; alignment; surface reconstruction; resolution enhancement; REGISTRATION;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

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.

引用

页码：2140 / 2144

页数：5

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