Title :
The evolution and testing of a model-based object recognition system
Author :
Mundy, J.L. ; Heller, A.J.
Author_Institution :
GE Corp. Res. & Dev. Center, Schenectady, NY, USA
Abstract :
A benchmark evaluation test of a model-based recognition system is discussed. The system was tested on a series of aerial reconnaissance images to evaluate recognition performance on the task of airfield monitoring. The effectiveness of the model pose constraint for recognition is discussed as well as an approach for selection of model features. The use of distance transforms for model hypothesis confirmation is also discussed
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; performance evaluation; aerial reconnaissance images; airfield monitoring; benchmark evaluation test; distance transforms; model features; model hypothesis confirmation; model pose constraint; model-based object recognition system; recognition performance; Benchmark testing; Computational geometry; Contracts; Image recognition; Image segmentation; Monitoring; Object recognition; Reconnaissance; Research and development; System testing;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139530
