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These techniques are designed based on the human visual depth perception mechanism.
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Human visual system perceives depth by combining multiple cues [28] from all domains to estimate distances of objects or relative displacements between them.
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore.
According to the human visual system, which integrates different depth cues to perceive the depth, one can expect the integration of depth cues to provide more sufficient means for depth map estimation techniques [5, 6].
One way for the human visual system to infer monocular depth cues could be to extract and interpret occlusions.
This is possible because a single retinal image lacks depth information and human visual perception tries to interpret images as the most familiar shape even though there are infinitely many possible interpretations.
In fact, depth map estimation techniques try to use these monocular depth cues and imitate the human visual system when estimating the distance between objects to generate binocular parallax (disparity) for the viewer.
The mechanism of depth perception in the human visual system is fairly well understood.
Similar research has dealt with visual depth perception in laboratory animals and human babies.
Despite the impressive mental capability of human visual system, its visual perception is not reliable if certain depth cues are missing.
In addition, a more sophisticated technique based on human visual perception to prevent human's perception uncomfortableness caused by substantial depth estimation errors or fluctuations is needed.
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