光学学报, 2015, 35 (2): 0233001, 网络出版: 2015-01-09   

基于分类映射的真三维显示深度抗锯齿算法

Depth Anti-Aliasing Algorithm Based on Classified Mapping for Volumetric True-3D Display
作者单位
1 合肥工业大学光电技术研究院特种显示技术教育部重点实验室, 特种显示技术国家工程实验室, 现代显示技术省部共建国家重点实验室, 安徽 合肥 230009
2 合肥工业大学计算机与信息学院, 安徽 合肥 230009
3 合肥工业大学仪器科学与光电工程学院, 安徽 合肥 230009
摘要
针对现有的多层抗锯齿技术在成像深度方向陡峭的三维(3D)图像时出现深度不连续的问题,提出了一种基于分类映射的真三维深度抗锯齿算法。鉴于固态体积式真三维成像是三维曲面的特点,通过分析YOZ(或XOZ)平面截取三维曲面所生成的二维曲线,提出了符合人类立体视觉特性的、基于相邻多层映射的体素分解方法,以及体素映射类型的判定算法。通过原始体素的自适应分类映射,可以在一定程度上扩大深度连续条件下的偏轴观看角度。在搭建的固态体积式真三维立体显示系统上测试三维成像,在较大的偏轴观看角度(约45°)下多数三维成像在深度方向过渡平滑,可以获得较好的深度连续性。
Abstract
To solve the problem of depth discontinuity of three-dimensional (3D) images having steep surface on imaging depth direction when using current multi-planar anti-aliasing technique, a depth anti-aliasing algorithm based on classified mapping is proposed. As the imaging of solid-state volumetric true-3D display is characteristic of three-dimensional surface, two-dimensional curves generating from interception of YOZ (or XOZ) planar and three-dimensional surface are analyzed. A method of voxel decomposition based on adjacent multi-layers mapping is introduced, which conforms with human stereoscopic vision, as well as a type judgment algorithm of voxel mapping. The off-axis viewing angles under the conditions of depth continuity are expanded to some extent by means of self-adapted classified mapping of raw voxels. A solid-state volumetric true-3D display system is developed, and 3D images are tested on the system. The result shows that most 3D images have completely smooth surfaces out to large off-axis viewing angles (about 45° ), and a good depth continuity can be obtained.

方勇, 张应松, 吴华夏, 吕国强, 胡跃辉. 基于分类映射的真三维显示深度抗锯齿算法[J]. 光学学报, 2015, 35(2): 0233001. Fang Yong, Zhang Yingsong, Wu Huaxia, Lü Guoqiang, Hu Yuehui. Depth Anti-Aliasing Algorithm Based on Classified Mapping for Volumetric True-3D Display[J]. Acta Optica Sinica, 2015, 35(2): 0233001.

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