Robust and optimal use of information in stereo vision
Robust and optimal use of information in stereo vision
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DOI：
10.1038/16244
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发表时间：
1999-01-07
期刊：
影响因子：
64.8
通讯作者：
Buckley, D
中科院分区：
文献类型：
--
作者：
Porrill, J;Frisby, JP;Buckley, D
左右眼对世界的看法之间的差异携带有关三维场景结构和眼睛在头部的位置的信息。当代贝叶斯感知方法（1，2）意味着人类在使用这种眼睛位置信息源时的表现可以通过与统计最佳观察者的表现进行比较来最有效地分析。在这里，我们认为，比较观察员也应该是统计上强大的，我们发现，这一要求导致定性的新行为。例如，当呈现包含关于注视偏心率的不一致信息的一类立体刺激时，从一个鲁棒的理想观察者记录的该注视参数的估计在刺激不一致的临界值处分叉。我们报告的实验中，人类观察员也表现出这种现象，我们使用实验确定的临界值来估计视觉系统的垂直敏锐度。贝叶斯分析还提供了一种高度可靠的和生物学上合理的算法，该算法甚至可以在解决经典的立体对应问题之前，即在决定左右图像中的哪些特征要匹配之前，恢复眼睛位置。
Differences between the left and right eye's views of the world carry information about three-dimensional scene structure and about the position of the eyes in the head The contemporary Bayesian approach to perception(1,2) implies that human performance in using this source of eye-position information can be analysed most usefully by comparison with the performance of a statistically optimal observer. Here we argue that the comparison observer should also be statistically robust, and we find that this requirement leads to qualitatively new behaviours. For example, when presented with a class of stereoscopic stimuli containing inconsistent information about eccentricity of gaze, estimates of this gaze parameter recorded from one robust ideal observer bifurcate at a critical value of stimulus inconsistency. We report an experiment in which human observers also show this phenomenon and we use the experimentally determined critical value to estimate the vertical acuity of the visual system. The Bayesian analysis also provides a highly reliable and biologically plausible algorithm that can recover eye positions even before the classic stereo-correspondence problem is solved, that is, before deciding which features in the left and right images are to be matched.