Transparency and Translucency
نویسنده
چکیده
When a surface is viewed through a partially-transmissive material, the optical contributions of the two layers in a given viewing direction are collapsed onto a single intensity in the projected image. If a computer vision system is to recover the scene correctly, it must be able to decompose or scission the image intensity into the separate contributions of the two material layers (see Fig. 1A). The inverse problem of recovering layered surface structure is generally divided into two sub-problems: (1) the qualitative problem of inferring the presence of an interposed partially-transmissive layer in parts of the image; and (2) the quantitative problem of assigning surface properties—reflectance and transmittance—to the separate layers.
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