Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
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.
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
Zhixian Yan, Dipanjan Chakraborty, et al.
EDBT 2011
David B. Mayer, Ashford W. Stalnaker
ACM SIGMIS CPR 1967