Glennerster A
Smith-Kettlewell Eye Research Institute, San Francisco, CA 94115, USA.
Vision Res. 1996 Jul;36(13):1955-68. doi: 10.1016/0042-6989(95)00262-6.
Predictions of a coarse-to-fine and co-operative stereo matching algorithm were compared using a 2-D shape discrimination task for disparity-defined targets in 50% random dot stereograms. Uniform disparity targets, square wave modulated targets with a different mean disparity to the background, or uncorrelated dots could be seen at much briefer exposures (down to 33 msec) than square wave modulated targets with the same mean disparity as the background. In the latter case, performance at brief exposures was improved by using coarser disparity corrugations. The results are readily explained by a coarse-to-fine matching scheme such as that proposed by Marr & Poggio (1979) [Proceedings of the Royal Society of London (B), 204, 301-328] and suggest that the correspondence problem is not the limiting step in the perception of simple cyclopean forms.
在50%随机点立体图中，针对视差定义的目标，使用二维形状辨别任务比较了一种从粗到细的协作式立体匹配算法的预测结果。与背景具有相同平均视差的方波调制目标相比，均匀视差目标、平均视差与背景不同的方波调制目标或不相关的点在更短的曝光时间（低至33毫秒）下就能被看到。在后一种情况下，通过使用更粗的视差波纹可以提高短曝光时的性能。这些结果很容易用一种从粗到细的匹配方案来解释，比如Marr和Poggio（1979年）[《伦敦皇家学会学报》（B），204，301 - 328]提出的方案，这表明对应问题并非简单独眼形式感知中的限制步骤。
