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基于三维几何视觉重要性的纹理图像选择压缩算法

杨柏林 金剑秋 江照意 韩建伟 王勋

杨柏林, 金剑秋, 江照意, 韩建伟, 王勋. 基于三维几何视觉重要性的纹理图像选择压缩算法. 自动化学报, 2013, 39(6): 826-833. doi: 10.3724/SP.J.1004.2013.00826
引用本文: 杨柏林, 金剑秋, 江照意, 韩建伟, 王勋. 基于三维几何视觉重要性的纹理图像选择压缩算法. 自动化学报, 2013, 39(6): 826-833. doi: 10.3724/SP.J.1004.2013.00826
YANG Bai-Lin, JIN Jian-Qiu, JIANG Zhao-Yi, HAN Jian-Wei, WANG Xun. Selective Compression for Texture Map Image Based on Visual Importance from 3D Geometry. ACTA AUTOMATICA SINICA, 2013, 39(6): 826-833. doi: 10.3724/SP.J.1004.2013.00826
Citation: YANG Bai-Lin, JIN Jian-Qiu, JIANG Zhao-Yi, HAN Jian-Wei, WANG Xun. Selective Compression for Texture Map Image Based on Visual Importance from 3D Geometry. ACTA AUTOMATICA SINICA, 2013, 39(6): 826-833. doi: 10.3724/SP.J.1004.2013.00826

基于三维几何视觉重要性的纹理图像选择压缩算法

doi: 10.3724/SP.J.1004.2013.00826
基金项目: 

浙江省杰出青年自然科学基金(LR12F02001);国家自然科学基金(61170214, 61170098);浙江省自然科学基金(Z1101340);浙江省教育厅科研重点项目(Z201018041);浙江省科技计划项目(2012C21028)资助

详细信息
    通讯作者:

    王勋

Selective Compression for Texture Map Image Based on Visual Importance from 3D Geometry

Funds: 

Supported by Zhejiang Provincial Science Fund for Distinguished Young Scholars(LR12F02001), National Natural Science Foundation of China(61170214, 61170098), Zhejiang Provincial Natural Science Foundation(Z1101340), Foundation of Zhejiang Education Committee(Z201018041), Science and Technology Agency Project of Zhejiang Province(2012C21028)

  • 摘要: 不同于传统二维图像,映射到三维模型上的纹理图像隐式包含了三维几何视觉信息. 然而,目前已有的纹理图像压缩方法并未考虑此特性. 本文提出了一种与三维模型几何视觉特性相关的纹理图像选择压缩算法. 首先给出一种结合纹理图像的显著性及其纹理走样的视觉重要性图构建方法, 将纹理图像划分为具有不同优先级别区域.之后,利用提出的选择压缩方法对它们进行不同比例压缩. 实验结果表明当选择本压缩算法时,纹理化三维模型能够获取较好的视觉效果.
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出版历程
  • 收稿日期:  2012-06-12
  • 修回日期:  2012-10-12
  • 刊出日期:  2013-06-20

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