Computational Study of Depth Perception for an Ambiguous Image Region: How Can We Estimate the Depth of Black or White Paper?
We propose a new computational model that accounts for human perception of depth for “ambiguous regions,” in which no information exists to estimate binocular disparity as seen in black and white papers. Random dot stereograms are widely used examples because these patterns provide sufficient information for disparity calculation. Then, a simple question confronts us: “how can we estimate the depth of non-textured images, like those on white paper?” In such non-textured regions, mathematical solutions of the spatial disparities are not unique but indefinite. We examine a mathematical description of depth estimation that is consistent with psychological experiments for non-textured images. Using computer simulation, we show that resultant depth-maps using our model based on the mathematical description above qualitatively reproduce human depth perception.
Keywordsdepth perception depth propagation binocular disparity Gaussian curvature ambiguous region computational model
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- 6.Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques – SIGGRAPH 2000, pp. 417–424 (2000)Google Scholar