Interposition, minimal depth, and depth-from-disparity
نویسندگان
چکیده
منابع مشابه
Comparing depth from motion with depth from binocular disparity.
The accuracy of depth judgments that are based on binocular disparity or structure from motion (motion parallax and object rotation) was studied in 3 experiments. In Experiment 1, depth judgments were recorded for computer simulations of cones specified by binocular disparity, motion parallax, or stereokinesis. In Experiment 2, judgments were recorded for real cones in a structured environment,...
متن کاملDisparity biasing in depth from monocular occlusions
Monocular occlusions have been shown to play an important role in stereopsis. Among other contributions to binocular depth perception, monocular occlusions can create percepts of illusory occluding surfaces. It has been argued that the precise location in depth of these illusory occluders is based on the constraints imposed by occlusion geometry. Tsirlin et al. (2010) proposed that when these c...
متن کاملConvergence of depth from texture and depth from disparity in macaque inferior temporal cortex.
The visual system must reconstruct the three-dimensional structure of an object from two-dimensional retinal images. Previous research has shown that macaque inferior temporal (IT) neurons, although belonging to the ventral visual stream, code for depth defined by binocular disparity gradients. Here, we demonstrate that macaque IT neurons also code for depth defined by texture gradients, a mono...
متن کاملBinocular Disparity and the Perception of Depth
quantitative mapping of binocular receptive fields of the We perceive the world in three-dimensions even though cat visual cortical cells and suggested models for simuthe input to our visual system, the images projected lating their responses. While these and many other exonto our two retinas, has only two spatial dimensions. periments have demonstrated the neural substrates for How is this acc...
متن کاملCalculating depth maps from digital holograms using stereo disparity.
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holograms and an essential step in extended focus imaging and metrology. All available depth extraction techniques with macroscopic objects are based on variance; however, the effectiveness of this is object dependent. We propose to use disparity between corresponding points in intensity reconstructi...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2010
ISSN: 1534-7362
DOI: 10.1167/8.6.853