• 其他栏目

    黄金泉

    • 教授 博士生导师
    • 招生学科专业:
      动力工程及工程热物理 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      航空宇航科学与技术 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      能源动力 -- 【招收博士、硕士研究生】 -- 能源与动力学院
    • 性别:男
    • 毕业院校:南京航空航天大学
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 所在单位:能源与动力学院
    • 办公地点:明故宫校区10-508
    • 联系方式:13951796358 微信号:wxid_577glshhuj0q21(与手机绑定)
    • 电子邮箱:

    访问量:

    开通时间:..

    最后更新时间:..

    Mesh-based computation for solving bas-relief reconstruction from editable normal image

    点击次数:

    所属单位:机电学院

    发表刊物:MEASUREMENT SCIENCE AND TECHNOLOGY

    关键字:mesh image reconstruction bas-relief generation

    摘要: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号:0957-0233

    是否译文:

    发表时间:2019-04-01

    合写作者:Huang, Jin,汪俊,Chen, Honghua,Guo, Xianglin,魏明强,Xie, Haoran,Qin, Jing

    通讯作者:黄金泉,汪俊