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Degree:Doctoral Degree in Engineering
School/Department:College of Energy and Power Engineering

Huang Jinquan

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Gender:Male

Education Level:With Certificate of Graduation for Doctorate Study

Alma Mater:南京航空航天大学

Paper Publications

Mesh-based computation for solving bas-relief reconstruction from editable normal image
Date of Publication:2019-04-01 Hits:

Affiliation of Author(s):机电学院
Journal:MEASUREMENT SCIENCE AND TECHNOLOGY
Key Words:mesh image reconstruction bas-relief generation
Abstract:As a representative art form between drawing and sculpture, bas-relief is widely used in media for signs, narratives, and decorations. Recent works focus on producing bas-reliefs with fewer interactions and manual efforts. However, they are limited by the large storage size of modeling results, that hinders fast rendering and downstream geometry processing (e.g. bas-relief editing). We propose a mesh-based modeling framework to generate progressive bas-reliefs with different resolutions from editable normal images. Specifically, (1) the normal image is down-sampled to eliminate redundant information but with its visual saliency preserved; (2) to avoid adding any integrability constraints, the editable normal image is changed to mesh representation as the discrete geometry processing setup; (3) surface-from-gradients (SfG) is improved to fit our bas-relief reconstruction with both height and normal constraints. Our method can produce more portable bas-reliefs with smaller sizes for fast visualization, geometry processing, and feeding CNC and 3D printing devices in practice. Experiments show that our method competes favorably with existing methods in visual quality and surface accuracy.
ISSN No.:0957-0233
Translation or Not:no
Date of Publication:2019-04-01
Co-author:Huang, Jin,Jun Wang,Chen, Honghua,Guo, Xianglin,Mingqiang Wei,Xie, Haoran,Qin, Jing
Correspondence Author:Huang Jinquan,Jun Wang
Date of Publication:2019-04-01