A Visual Database System For Computer Vision Research

计算机视觉数据库系统必须能够以多种形式操作数据，从标量特征值到光强度数组，再到代表部分和暂时识别的形状和模型网络的复杂关联数据结构，运行一个完整的范围。这项工作需要设计和部分实现基于层次关系数据结构的原型视觉数据库系统，该系统可以处理各种类型的数据。该设计还包括一个新颖的视觉用户界面，允许用户检查和理解正在处理的实体。在这项工作中，数据库系统的组织和访问功能是通过研究两个不同的视觉应用领域：机器人和医学中使用的结构和操作来开发的。在原型系统中实现了基本的访问函数和一些高级的视觉操作。在机器人视觉和医学图像处理研究项目中，对该系统的灵活性和效率进行了评估。其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访问，并将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.