Please use this identifier to cite or link to this item:
Title: Shading‐based surface recovery using subdivision‐based representation
Authors: Deng, Teng
Zheng, Jianmin
Cai, Jianfei
Cham, Tat-Jen
Keywords: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Issue Date: 2019
Source: Deng, T., Zheng, J., Cai, J., & Cham, T.-J. (2019). Shading‐based surface recovery using subdivision‐based representation. Computer Graphics Forum, 38(1), 417-428. doi:10.1111/cgf.13539
Journal: Computer Graphics Forum
Abstract: This paper presents subdivision‐based representations for both lighting and geometry in shape‐from‐shading. A very recent shading‐based method introduced a per‐vertex overall illumination model for surface reconstruction, which has advantage of conveniently handling complicated lighting condition and avoiding explicit estimation of visibility and varied albedo. However, due to its discrete nature, the per‐vertex overall illumination requires a large amount of memory and lacks intrinsic coherence. To overcome these problems, in this paper we propose to use classic subdivision to define the basic smooth lighting function and surface, and introduce additional independent variables into the subdivision to adaptively model sharp changes of illumination and geometry. Compared to previous works, the new model not only preserves the merits of the per‐vertex illumination model, but also greatly reduces the number of variables required in surface recovery and intrinsically regularizes the illumination vectors and the surface. These features make the new model very suitable for multi‐view stereo surface reconstruction under general, unknown illumination condition. Particularly, a variational surface reconstruction method built upon the subdivision representations for lighting and geometry is developed. The experiments on both synthetic and real‐world data sets have demonstrated that the proposed method can achieve memory efficiency and improve surface detail recovery.
ISSN: 0167-7055
DOI: 10.1111/cgf.13539
Rights: © 2018 The Author(s). © 2018 The Eurographics Association and John Wiley & Sons Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IMI Journal Articles

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.