论文信息 - Model-Based Vision System for Scenes Containing Multiple Parts

Model-Based Vision System for Scenes Containing Multiple Parts

A model-based computer vision system has been developed which can determine the position and orientation of several parts in the same scene. The parts can be of the same type or of different types. Furthermore, the system can work with visually noisy scenes and some occlusion. Abstract two-dimensional models are formed by having the system view the parts under favorable conditions. Parts are found by matching the abstract models to the scene data, after it has been highly organized.

W. A. Perkins

[1] Manfred H. Hueckel. A Local Visual Operator Which Recognizes Edges and Lines , 1973, JACM.

[2] Y. Shirai,et al. Edge Finding, Segmentation Of Edges And Recognition Of Complex Objects , 1975, IJCAI.

[3] W. A. Perkins,et al. GM research labs' machine perception project , 1975, SGAR.

[4] Masahiko Yachida,et al. A Machine Vision For Complex Industrial Parts With Learning Capability , 1975, IJCAI.

[5] Gunnar Rutger Grape. Model based (intermediate-level) computer-vision , 1973 .

[6] Akira Nakamura,et al. Recognition Of An Object in A Stack Of Industrial Parts , 1975, IJCAI.

[7] Herwart Opitz,et al. A classification system to describe workpieces , 1970 .

[8] G. Bower,et al. Human Associative Memory , 1973 .

[9] Arnold K. Griffith,et al. Edge Detection in Simple Scenes Using a Priori Information , 1973, IEEE Transactions on Computers.

[10] W. A. Perkins,et al. A Model-Based Vision System for Industrial Parts , 1978, IEEE Transactions on Computers.