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Modeling the Combination of motion, Stereo, and Vergence Angle Cus to Visual Depth

机译:对运动,立体声和发散角Cus到视觉深度的组合进行建模

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摘要

Three models of visual cue combination were simulated: a weak fu- sion model, a modified weak model, and a strong model. Their relative strengths and weaknesses are evaluated on the basis of their performances on the tasks of judging the depth and shape of an ellipse. The models dif- fer in the amount of interaction that they permit among the cues of stereo, motion, and vergence angle. Results suggest that the constrained nonlin- ear interaction of the modified weak model allows better performance than either the linear interaction of the weak model or the unconstrained nonlinear interaction of the strong model.
机译:模拟了三种视觉提示组合模型:弱融合模型,改进的弱模型和强模型。在评估椭圆的深度和形状的任务的基础上,根据它们的性能来评估它们的相对优势和劣势。这些模型在立体,运动和发散角的提示中允许的交互量有所不同。结果表明,与弱模型的线性相互作用或强模型的无约束非线性相互作用相比,修正的弱模型的约束非线性相互作用具有更好的性能。

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