A practical approach to image restoration for computer vision

✍ Scribed by Federico Bumbaca; Kenneth C Smith

• Publisher: Elsevier Science
• Year: 1988
• Weight: 91 KB
• Volume: 41
• Category: Article
• ISSN: 0734-189X
• DOI: 10.1016/0734-189x(88)90030-8

✦ Synopsis

We show that highlights in images of objects with specularly reflecting surfaces provide significant information about the surfaces which generate them. A brief survey is given of specular reflectance models which have been used in computer vision and graphics. For our work, we adopt the Torrance-Sparrow specular model which, unlike most previous models, considers the underlying physics of specular reflection from rough surfaces. From this model we derive powerful relationships between the properties of a specular feature in an image and local properties of the corresponding surface. We show how this analysis can be used for both prediction and interpretation in a vision system. A shape from the specularity system has been implemented to test our approach. The performance of the system is demonstrated by careful experiments with specularly reflecting objects.