Issue No. 11 - November (1991 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.103274
<p>The authors discuss a method of recovering reflectance properties of a surface from a range image given by a range finder and a brightness image given by a standard TV camera. The Torrance-Sparrow model is used for the reflectance model. The model consists of the Lambertian and specular components: its reflectance properties consist of the relative strength between the Lambertian and specular components and specular sharpness as well as light source direction. An iterative least square fitting method is used to obtain these parameters based on the range and brightness images. An input image is segmented into four different parts using the parameters: Lambertian reflection, specular reflection, interreflection, and shadow part. The authors also reconstruct ideal images that consist of only Lambertian or specular reflection.</p>
computer vision; optical images; brightness images; reflectance properties; range image; range finder; TV camera; Torrance-Sparrow model; iterative least square fitting method; Lambertian reflection; specular reflection; interreflection; shadow; brightness; computer vision; computerised picture processing; iterative methods; least squares approximations; optical images; reflectivity
K. Sato and K. Ikeuchi, "Determining Reflectance Properties of an Object Using Range and Brightness Images," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 13, no. , pp. 1139-1153, 1991.