CISE Experimental Partnerships: High Performance Systems for Shape and Action Modeling

[01:12 . 49] davis， Larry s马里兰大学ise实验伙伴关系：形状和动作建模的高性能系统研究正在进行并行算法的设计和开发，以获得自然物体和动作的精确模型。这项工作的目标是开发一套并行的分布式算法，在个人计算机网络上执行，该算法可以集成来自多个视点的视频图像，以构建复杂刚性物体的精确几何模型，或移动、铰接和非刚性物体（特别是人）的详细动态动作模型。这项工作整合并扩展了以前在计算机视觉、分层数据结构和高性能软件系统方面的研究。用于从单个和多个视频流中提取形状和动作描述的几何和统计算法与分层空间数据结构（例如八叉树和四叉树）一起被使用，它们构成了正在构建的形状和动作表示的基本数据结构。将这些技术和结构应用于大量视频流所需的大量数据和计算使得视觉科学家无法单独设计、构建和评估这些分布式算法和系统的计算性能。视觉研究人员正在与并行和分布式计算研究人员一起工作，以阐明包括几何，算法和面向系统的观点的解决方案。

99-01249Davis, Larry SUniversity of MarylandCISE Experimental Partnerships: High Performance Systems for Shape andAction ModelingResearch is being performed on the design and development of parallel algorithms for obtaining accurate models of natural objects and actions. The goal of the work is to develop a suite of parallel, distributed algorithms executing on a network of personal computers that can integrate video images from multiple viewpoints to construct an accurate geometric model of a complex, rigid object, or detailed dynamic action models of moving, articulated and non-rigid objects - specifically people. The work integrates and extends previous research in computer vision, hierarchical data structures and high performance software systems. Geometric and statistical algorithms for extracting shape and action descriptions from single and multiple video streams are being used along with hierarchical spatial data structures (e.g. oct-trees and quadtrees) which constitute the basic data structures for the shape and action representations being constructed. The enormous quantity of data and computation associated with applying such techniques and structures to a large number of video streams makes it impossible for vision scientists alone to design, construct and evaluate the omputational performance of these distributed algorithms and systems. Vision researchers are working together with parallel and distributed computing researchers to articulate a solution that includes geometric, algorithmic, and systems-oriented perspectives.