3D-Modelling of seafloor structures from ROV-based video sequences

根据基于 ROV 的视频序列对海底结构进行 3D 建模

• 批准号: 68506282
• 负责人: Professor Dr.-Ing. Reinhard Koch
• 金额: --
• 依托单位: Institut für Informatik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/68506282?language=en
• 关键词: 3D; Modelling; seafloor; structures; ROV

In underwater imaging and underwater 3D reconstruction, most researchers still use the perspective camera model, even though refraction at the glass interface of the underwater housing occurs [SK11]. It can easily be shown, that the single-view-point camera model (SVP model) is invalid due to refractive effects. Even though this has been known for a while, no Structure-from-Motion system (SfM system) explicitly models refraction effects. Therefore, the overall goal of this project is to evaluate the use of refractive image formation and to compare it to the classical perspective SfM approaches. Preliminary studies and our results of the first project phase already indicated that the systematic model error caused by using the perspective camera model leads to a pose estimation error, when reconstructing the camera path of an underwater image sequence [SK11]. We expect that the correct physical modeling of refractive image formation will lead to improved camera models that will eliminate the systematic errors in perspective 3D modeling. The resulting 3D models can then be used for improved volumetric measurements of seafloor structures.

在水下成像和水下3D重建中，大多数研究人员仍然使用透视相机模型，即使水下外壳的玻璃界面发生折射[SK11]。由此可见，由于折射效应的影响，单视点相机模型(SVP模型)是无效的。尽管这一点早已为人所知，但还没有运动结构系统(SfM系统)显式建模折射效果。因此，这个项目的总体目标是评估折射成像的使用，并将其与经典的透视SfM方法进行比较。初步研究和项目第一阶段的结果已经表明，在重建水下图像序列的相机路径时，由于使用透视相机模型而导致的系统模型误差会导致位姿估计误差[SK11]。我们期望折射图像形成的正确物理建模将导致改进的相机模型，从而消除透视3D建模中的系统误差。由此得到的3D模型可用于改进海底结构的体积测量。

项目成果

BLIND DECONVOLUTION ON UNDERWATER IMAGES FOR GAS BUBBLE MEASUREMENT

用于气泡测量的水下图像盲解卷积

• DOI: 10.5194/isprsarchives-xl-5-w5-239-2015
• 发表时间: 2015
• 期刊: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• 作者: C. Zelenka;R. Koch
• 通讯作者: R. Koch