Title : 
Shape recovery methods for visual inspection
         
        
        
            Author_Institution : 
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
         
        
        
            fDate : 
30 Nov-2 Dec 1992
         
        
        
        
            Abstract : 
The advancement of three-dimensional machine vision is closely related to the development of robust and efficient shape recovery methods. The author addresses the recovery problem associated with three different classes of surfaces: (a) specular surfaces; (b) surfaces with varying reflectance; and (c) rough and textured surfaces. Three realtime machine vision systems have been developed based on these results. Experimental results demonstrate that the proposed methods and systems are applicable to a variety of visual inspection problems
         
        
            Keywords : 
automatic optical inspection; computer vision; image processing; real-time systems; machine vision; shape recovery methods; visual inspection; Humans; Inspection; Machine vision; Photometry; Reflectivity; Robustness; Rough surfaces; Shape; Surface roughness; Surface texture;
         
        
        
        
            Conference_Titel : 
Applications of Computer Vision, Proceedings, 1992., IEEE Workshop on
         
        
            Conference_Location : 
Palm Springs, CA
         
        
            Print_ISBN : 
0-8186-2840-5
         
        
        
            DOI : 
10.1109/ACV.1992.240318