A structured light method for underwater surface reconstruction

被引：33

作者：

Sarafraz, Amin ^{[1
]}

Haus, Brian K. ^{[2
]}

机构：

[1] Univ Miami, Dept Civil Architectural & Environm Engn, Coral Gables, FL 33124 USA

[2] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Coral Gables, FL 33124 USA

来源：

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING | 2016年 / 114卷

基金：

美国国家科学基金会;

关键词：

Water surface estimation; 3D reconstruction; Structured light; CAMERA CALIBRATION; VISION;

D O I：

10.1016/j.isprsjprs.2016.01.014

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

A new structured-light method for 3D imaging has been developed which can simultaneously estimate both the geometric shape of the water surface and the geometric shape of underwater objects. The method requires only a single image and thus can be applied to dynamic as well as static scenes. Experimental results show the utility of this method in non-invasive underwater 3D reconstruction applications. The performance of the new method is studied through a sensitivity analysis for different parameters of the suggested method. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.

引用

页码：40 / 52

页数：13

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