3-D reconstruction using image sequences based on projective depth and simplified iterative closest point

Keju Peng; Xin Chen; Dongxiang ZhouYunhui LiuYongping Zhai

首页> 外文期刊>Optical Engineering >3-D reconstruction using image sequences based on projective depth and simplified iterative closest point

【24h】

3-D reconstruction using image sequences based on projective depth and simplified iterative closest point

机译：3-D reconstruction using image sequences based on projective depth and simplified iterative closest point

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

The authors propose a new algorithm for 3-D construction from a sequence of images based on a new corollary that the projective depth can be comprehended as a scalar factor between two 3-D points when reconstructed from three images. This algorithm constructs the partial models of an object using two consecutive images in the image sequence and integrates the obtained partial models to a complete one on the basis of this new corollary. In order to avoid accumulation of errors in the integration process, this algorithm modifies the reconstruction results based on a simplified Iterative Closest Point (ICP) algorithm. We have carried out two groups of experiments based on images captured from a library environment. In one group of experiments, sparse points are used to reconstruct regular objects; in the other group of experiments, dense points are employed. We compared experimental results of the proposed algorithm with the optimization method using the fundamental matrix, which demonstrated that the proposed algorithm yielded better efficiency and accuracy of the 3-D reconstruction. Experiments also showed that the reconstruction errors of the proposed method were within 5percent.

著录项

来源
《Optical Engineering》 |2012年第2期|021110-1-021110-10|共10页
作者
Keju Peng; Xin Chen; Dongxiang ZhouYunhui LiuYongping Zhai;
展开▼
作者单位

National University of Defense Technology School of Electronic Science and Engineering Changsha, Hunan, China;

The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong, China;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
关键词
3-D reconstruction; image sequence; projective depth; iterative closest point;

3-D reconstruction using image sequences based on projective depth and simplified iterative closest point

摘要

著录项

相关主题

期刊订阅