A multiscale approach to image sequence analysis

被引:17
|
作者
Niessen, WJ
Duncan, JS
Nielsen, M
Florack, LMJ
Romeny, BMT
Viergever, MA
机构
[1] YALE UNIV,DEPT RADIOL & ELECT ENGN,IMAGE PROC & ANAL GRP,NEW HAVEN,CT 06520
[2] UNIV COPENHAGEN,SCH DENT,LAB 3D,DK-2200 COPENHAGEN N,DENMARK
基金
美国国家卫生研究院;
关键词
D O I
10.1006/cviu.1996.0582
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In optic flow based velocity estimation the image brightness constraint equation is used, However, for measurements performed at a certain scale, the brightness constraint equation does not apply. We therefore use a recently developed approach which reconciles optic flow and scale space theory. It specifically incorporates the scale (aperture) of image measurements, leading to a scheme which is essentially different from existing approaches. To obtain a unique velocity field, the data-derived information has to be augmented with physical knowledge, By keeping a strict separation between data-derived and external information, we can locally adapt or modify the user-supplied information without affecting the image-derived information. The two free scale parameters in time and space can be used for attentive vision (selecting particular velocities or objects) and to improve the reliability of velocity estimates. (C) 1997 Academic Press.
引用
收藏
页码:259 / 268
页数:10
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