摘要
本文讨论了计算机视觉研究的进展.首先概述了计算机视觉的发展历程,并在此基础上总结了计算机视觉研究的基本理论框架:深度重建框架、基于知识的视觉框架、主动视觉框架以及视觉集成框架.其次,文章综述了作为计算机视觉重要研究内容的物体的三维表示方法:基于表面的物体三维表示法、基于体积的物体三维表示法和三维物体的八元树表示法.
The progress of the research of computer vision is discussed in this paper. First, the development of the research situation in the field of computer vision is summarized, and four basic theoretical frameworks are generalized: the depth reconstruction framework, the knowledge-based computer vision framework, the active vision framework, and the integration framework of computer vision. Then, the 3D representation approaches, which form the important research contents of computer vision, are reviewed and classified: the surface-based 3D representation, the volume-based 3D representation, and the octree representation of 3D objects.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1995年第A01期59-69,共11页
Pattern Recognition and Artificial Intelligence
关键词
计算机视觉
图像识别
图像理解
Computer Vision, Framework of Computer Vision, 3D Representation.
