Title :
Determining reflectance properties of an object using range and brightness images
Author :
Ikeuchi, Katsushi ; Sato, Kosuke
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
11/1/1991 12:00:00 AM
Abstract :
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
Keywords :
brightness; computer vision; computerised picture processing; iterative methods; least squares approximations; optical images; reflectivity; Lambertian reflection; TV camera; Torrance-Sparrow model; brightness images; computer vision; interreflection; iterative least square fitting method; optical images; range finder; range image; reflectance properties; shadow; specular reflection; Brightness; Cameras; Image reconstruction; Image segmentation; Iterative methods; Least squares methods; Light sources; Optical reflection; Reflectivity; TV;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on