Stereo slant discrimination of planar 3D surfaces: Frontoparallel versus planar matching.
Stereo slant discrimination of planar 3D surfaces: Frontoparallel versus planar matching.
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DOI：
10.1167/jov.22.5.6
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发表时间：
2022-04-06
影响因子：
1.8
通讯作者：
中科院分区：
文献类型：
--
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双目立体提示对于辨别3D表面取向是重要的，特别是在近距离处。我们设计了一个单间隔的任务，观察者区分倾斜的纹理密集的平面测试表面相对于纹理平面环绕参考表面。虽然表面呈现正确的角度，刺激的设计，使双目线索占主导地位的性能。测量倾斜辨别性能作为参考倾斜和添加到左眼和右眼中的测试平面图像的不相关白色噪声水平的函数。我们比较人类的表现与近似理想的观察员（平面匹配[PM]）和两个次理想的观察员。PM观察者使用一只眼睛中的图像和反向投影来预测另一只眼睛中所有可能的倾斜、倾斜和距离的测试图像。所估计的倾斜、倾斜和距离由最接近地匹配另一只眼睛中的测量图像的预测来确定。第一个次理想观测器（局部平面匹配[LPM]）在局部邻域上应用PM，然后在测试平面上进行池估计。第二个次优观测器（局部锋平行匹配[LFM]）仅使用位置差异。我们发现，理想观察员（PM）和第一次理想观察员（LPM）优于第二次理想观察员（LFM），表现出额外的好处模式的差异。我们还发现，所有三个模型观察员可以考虑人类的表现，如果两个自由参数包括：一个固定的小水平的内部估计噪声，和一个固定的整体效率标量上倾斜的可辨别性。
Binocular stereo cues are important for discriminating 3D surface orientation, especially at near distances. We devised a single-interval task where observers discriminated the slant of a densely textured planar test surface relative to a textured planar surround reference surface. Although surfaces were rendered with correct perspective, the stimuli were designed so that the binocular cues dominated performance. Slant discrimination performance was measured as a function of the reference slant and the level of uncorrelated white noise added to the test-plane images in the left and right eyes. We compared human performance with an approximate ideal observer (planar matching [PM]) and two subideal observers. The PM observer uses the image in one eye and back projection to predict a test image in the other eye for all possible slants, tilts, and distances. The estimated slant, tilt, and distance are determined by the prediction that most closely matches the measured image in the other eye. The first subideal observer (local planar matching [LPM]) applies PM over local neighborhoods and then pools estimates across the test plane. The second suboptimal observer (local frontoparallel matching [LFM]) uses only location disparity. We find that the ideal observer (PM) and the first subideal observer (LPM) outperforms the second subideal observer (LFM), demonstrating the additional benefit of pattern disparities. We also find that all three model observers can account for human performance, if two free parameters are included: a fixed small level of internal estimation noise, and a fixed overall efficiency scalar on slant discriminability.
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影响因子：
1.8
作者：
Burge J;McCann BC;Geisler WS
通讯作者：
Geisler WS
影响因子：
5.5
作者：
BLAKEMORE, C
通讯作者：
BLAKEMORE, C
影响因子：
1.9
作者：
Bridge, H;Cumming, BG;Parker, AJ
通讯作者：
Parker, AJ
影响因子：
4.3
作者：
Allenmark, Fredrik;Read, Jenny C. A.
通讯作者：
Read, Jenny C. A.
影响因子：
4.3
作者：
Burge J;Jaini P
通讯作者：
Jaini P