TVS: An Environment For Building Knowledge-Based Vision Systems

Abstract

Advances in the field of knowledge-guided computer vision require the development of large scale projects and experimentation with them. One factor which impedes such development is the lack of software environments which combine standard image processing and graphics abilities with the ability to perform symbolic processing. In this paper, we describe a software environment that assists in the development of knowledge-based computer vision projects. We have built, upon Common LISP and C, a software development environment which combines standard image processing tools and a standard blackboard-based system, with the flexibility of the LISP programming environment. This environment has been used to develop research projects in knowledge-based computer vision and dynamic vision for robot navigation.