摘要
本文提出了一种新体视的匹配算法,其特点是:(1)以准DOG分布为基元;(2)以同源性、唯一性、顺序性为约束;(3)本质上是一种协同算法。理论分析和实际计算表明,该算法是合理的,有效的。最近的一些心理物理学结果是支持我们的这个算法的。
In this paper, a new algorithm for stereoscopic matching is described and some results are presented, The algorithm has following characteristics:(1) quasi-DOG distributions are taken as primitives;(2) constrained by compatibility, uniqueness and ordering; ( 3 ) it is intrinsically a coorperative algorithm.Both theoretical analysis and applied computation have shown that the algorithm is reasonable and effective. It is also supported by the recent psychophysical experiments. Supported by National Science Foundation. Present address: School of Optometry, U.C. Berkely, University of California U.S.A.
出处
《生物物理学报》
CAS
CSCD
北大核心
1992年第1期1-7,共7页
Acta Biophysica Sinica
基金
中国科学院资助
国家自然科学基金会资助
