ON SCALE AND RESOLUTION IN ACTIVE ANALYSIS OF LOCAL IMAGE STRUCTURE

被引:7
作者
BRUNNSTROM, K
EKLUNDH, JO
LINDEBERG, T
机构
[1] Computational Vision and Active Perception Laboratory, Department of Numerical Analysis and Computing Science, Royal Institute of Technology
关键词
FOVEATION; SCALE; RESOLUTION; JUNCTION CLASSIFICATION; SCALE-SPACE TECHNIQUES; FOCUS-OF-ATTENTION; ACTIVE VISION; HISTOGRAM ANALYSIS;
D O I
10.1016/0262-8856(90)80005-E
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans. Problems connected to foveation (examination of selected regions of the world at high resolution) are examined. In particular, the problem of finding and classifying junctions from this aspect is considered. It is shown that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows for robust detection and classification of junctions.
引用
收藏
页码:289 / 296
页数:8
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