Acquisition of Large 3D Scenes - Dealing with Complexity and Incompleteness

大型 3D 场景的采集 - 处理复杂性和不完整性

• 批准号: 17957768
• 负责人: Professor Dr.-Ing. Wolfgang Straßer (†)
• 金额: --
• 依托单位: Fachbereich IV: Informatik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2008-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/17957768?language=en
• 关键词: Acquisition; Large; 3D; Scenes; Dealing

In this renewal application for a research grant, we propose to continue our project that aims at a photo-realistic representation (modelling, editing, rendering) of real-world scenes acquired by 3d-scanning devices to achieve the goal of doing the pioneering work on the way to virtual 3d photography and 3d video. In the first period of the grant we developed novel data structures to handle the large amount of data in real-world scans. We implemented a comprehensive software framework (XGRT) that we share with our project partners. With this framework we developed algorithms to process large datasets automatically and reconstruct surfaces in the best way in a statistical sense. We also had successes and a publication that established a new research direction in the field of animation reconstruction, where we will continue our work. We showed how redundancies in real-world scans can be found, and we will investigate in our future work how this can be utilized for reconstruction.

在这份研究资助的延续申请中，我们建议继续我们的项目，该项目旨在通过3d扫描设备获取真实世界场景的照片般真实的表现（建模，编辑，渲染），以实现在虚拟3d摄影和3d视频方面做开创性工作的目标。在第一阶段的补助金，我们开发了新的数据结构，以处理大量的数据在现实世界的扫描。我们实施了一个全面的软件框架（XGRT），并与我们的项目合作伙伴共享。有了这个框架，我们开发了算法来自动处理大型数据集，并在统计意义上以最佳方式重建表面。我们也取得了成功，并发表了一份出版物，在动画重建领域建立了一个新的研究方向，我们将继续我们的工作。我们展示了如何在真实世界的扫描中找到冗余，我们将在未来的工作中研究如何将其用于重建。