液晶与显示2024，Vol.39Issue(7)：883-891,9.DOI:10.37188/CJLCD.2024-0111
基于三维点云的光栅三维显示景深优化方法
Depth of field adjustment method on 3D raster display based on 3D point clouds
摘要
Abstract
Depth compression processing for three-dimensional display content is an effective solution to the problem of insufficient depth range in 3D raster displays.However,commonly used compression methods inevitably cause geometric deformation in the main subjects of the scene.This paper proposes a depth optimization method for dense viewpoint3D raster displays based on 3D point clouds.By reconstructing the 3D point cloud from the stereo disparity map of the 3D scene,the main subject's point cloud is segmented,and depth position adjustments are made only for subjects exceeding the display's depth range,thereby maintaining the geometric structure of the scene's main subjects.This achieves overall depth compression of the 3D scene without altering the geometric integrity of the main subjects.Through a series of statistical experiments focused on the visual experience,the proposed method received an approval rating exceeding 77%from each participant and surpassed 80%for every experimental scenario.The results affirm the method's significant enhancement of the audience's subjective perception,compressing the overall depth of the scene while ensuring no deformation of the main subjects,thus providing viewers with a natural viewing experience and strong depth perception of the scene's main subjects.关键词
裸眼三维显示/三维点云/实例分割/深度压缩Key words
autostereoscopic 3D display/3D point cloud/instance segmentation/depth compression分类
信息技术与安全科学引用本文复制引用
易湘诚,颜玢玢,陈硕,王昕柯,邢树军,于迅博,高鑫,桑新柱..基于三维点云的光栅三维显示景深优化方法[J].液晶与显示,2024,39(7):883-891,9.基金项目
国家自然科学基金(No.62175017,No.62075016)Supported by National Natural Science Foundation of China(No.62175017,No.62075016) （No.62175017,No.62075016）
