KDI: 3D Free-Form Models for Geometric Recovery and Applications to Archaeology

在美国国家科学基金会的支持下，大卫·库珀博士和他的同事们将开发一种技术，从一个或多个图像和视频中恢复3D自由形式的物体和选定的场景结构。该技术基于3D形状表示和半交互、混合主动系统的发展，以及机器决策指导的贝叶斯曲面估计。这项工作的主要重点是开发用于考古遗址和文物重建以及建筑的工具。这将影响低级形状模型以及它们如何组合成更复杂的对象或完整的对象。后一种情况通常发生在考古发掘现场，那里发现的物品是碎片，或者是因侵蚀而损坏的。尽管最近在计算机视觉的自动场景恢复方面取得了实质性的进展，但自由形状提取和装配带来的挑战仍然很大。研究人员将采用交互式方法，其中用户可以指导恢复过程，或者可以在机器请求帮助时可用，例如，在组装许多碎片以重新创建大型或复杂对象的复杂任务中。其目的是为了让天真的用户受益，开发用户控制技术的基本原理。该项目的最终目标是通过对底层3D结构进行建模来提高与大量复杂视觉数据交互的效率。该项目将提供新的实用工具。它还将为三维形状重建和识别提供一个有效的试验台，为处理三维形状提供更具描述性的局部和全球模型，更好地理解自由形式几何建模和从一个或多个图像和视频中提取三维几何图形的人/决策机交互作用以及相关的计算复杂性问题。将这项技术应用于考古领域，将提供改进的测量方法、先进的考古记录和进行高水平分析的手段，这是迄今为止无法获得的。它将进一步允许将重建能力从艺术家直接转移到考古学家。由于考古学背景下解决的问题在很大程度上是通用的，因此可以转移到医学、工业、国防等领域，潜在的影响是极其广泛的。

With National Science Foundation support Dr David Cooper and his colleagues will develop a technology for the recovery of 3D free-form object and selected scene structure from one or more images and video. The technique is based on the development of 3D shape representation and a semi-interactive, mixed-initiative system, along with machine decision-directed Bayesian surface-estimation. The main focus of the effort is the development of tools useful in archaeological site and artifact reconstruction and architecture. This will impact low level shape models and how they are assembled to form either more complex objects or complete ones. The latter condition often occurs at archaeological excavation sites where objects are found in pieces, or have been damaged from erosion. Despite recent substantial progress in automated scene recovery in computer vision, the challenges presented by free-form shape extraction and assembly are still great. The researchers will employ an interactive approach in which a user can guide the recovery process or can be available when requested for assistance by the machine, e.g., in the complex task of assembling many fragments to re-create a large or complicated object. The intent is to develop the fundamentals of a user-controlled technology for the benefit of the naive user. The ultimate goal is to enhance productivity in interacting with large amounts of complex visual data by modeling the underlying 3D structure.This project will provide new practical tools. It will also provide an effective testbed for 3D shape reconstruction and recognition, more descriptive local and global models for working with 3D shapes, a better understanding of human/decision-making-machine interaction for free-form geometric modeling and for extracting 3D geometry from one or more images and video, and associated computational complexity issues. As applied to the field of archaeology, this technology will provide improved surveying methods, an advanced archaeological record and a means to conduct high-level analysis not heretofore available. It will further permit the transfer of reconstruction capabilities from the artist directly to the archaeologist. Since the problems resolved in the archaeological context are to a significant degree generic and thus transferable to the fields of medicine, industry, defense etc, the potential impact is extremely broad.