A Visual Database System For Computer Vision Research

计算机视觉的数据库系统必须能够操作 数据以多种形式，运行从价值观的全谱 标量特征，通过光强度阵列， 链接的数据结构表示部分和 初步识别的形状和模型。这项工作需要 一个原型视觉数据库的设计和部分实现 一种基于分层关系数据结构的系统， 可以处理各种类型的数据。该设计还 包括新颖的可视用户界面，其允许用户 检查和理解正在处理的实体。在这 工作，组织和访问数据库的功能 系统是通过对各种结构的研究开发的 以及在两个不同视觉应用领域中使用的操作： 机器人和医学。原始访问函数和一些 在原型中实现了更高层次的视觉操作 系统该系统的灵活性和效率是 评估机器人视觉中正在开发的视觉算法 和医学图像处理研究项目。 结果将 是一个通用的科学数据库系统，可以通过 图形和应用程序界面， 满足计算机视觉系统的需要。

A database system for computer vision must be able to manipulate data in numerous forms, running a full spectrum from values of scalar features, through arrays of light intensities, to complex linked data structures representing networks of partially and tentatively recognized shapes and models. This work entails the design and partial implementation of a prototype vision database system based on a hierarchical, relational data structure that can handle a wide variety of types of data. The design also includes a novel visual user interface that allows the user to examine and comprehend the entities being processed. In this work, the organization and access functions for the database system are developed through a study of the kinds of structures and operations used in two different vision application domains: robotics and medicine. Both primitive access functions and some higher-level vision operations are implemented in the prototype system. The flexibility and efficiency of the system are evaluated for vision algorithms being developed in robot vision and medical image processing research projects. The result will be a general scientific database system that can be accessed via both graphical and application program interface and that will satisfy the needs of computer vision systems.