Title : 
High-quality texture reconstruction from multiple scans
         
        
            Author : 
Bernardini, Fausto ; Martin, Ioana M. ; Rushmeier, Holly
         
        
            Author_Institution : 
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
         
        
        
        
        
        
        
            Abstract : 
The creation of three-dimensional digital content by scanning real objects has become common practice in graphics applications for which visual quality is paramount, such as animation, e-commerce, and virtual museums. While a lot of attention has been devoted recently to the problem of accurately capturing the geometry of scanned objects, the acquisition of high-quality textures is equally important, but not as widely studied. In this paper, we focus on methods to construct accurate digital models of scanned objects by integrating high-quality texture and normal maps with geometric data. These methods are designed for use with inexpensive, electronic camera-based systems in which low-resolution range images and high-resolution intensity images are acquired. The resulting models are well-suited for interactive rendering on the latest-generation graphics hardware with support for bump mapping. Our contributions include new techniques for processing range, reflectance, and surface normal data, for image-based registration of scans, and for reconstructing high-quality textures for the output digital object
         
        
            Keywords : 
image processing; image reconstruction; image texture; rendering (computer graphics); 3D scanning; bump mapping; graphics; image processing; interactive rendering; range images; reflectance; shading; texture acquisition; visual quality; Animation; Computer graphics; Design methodology; Geometry; Hardware; Image reconstruction; Reflectivity; Solid modeling; Surface reconstruction; Surface texture;
         
        
        
            Journal_Title : 
Visualization and Computer Graphics, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/2945.965346