

浏览全部资源
扫码关注微信
1. 四川大学 电子信息学院, 四川 成都 610065
2. 四川大学 视觉合成图形图像技术重点学科实验室,四川 成都,610065
Received:17 August 2011,
Revised:20 October 2011,
Published Online:15 April 2012,
Published:15 April 2012
移动端阅览
史国凯, 王琼华, 李大海, 赵悟翔, 彭华荣, 罗江勇. 基于分割的离焦图像深度图提取方法[J]. 液晶与显示, 2012,(2): 229-234
SHI Guo-kai, WANG Qiong-hua, LI Da-hai, ZHAO Wu-xiang, PENG Hua-rong, LUO Jiang-yong. Method for Depth Map Extraction of Defocused Image Based on Segmentation[J]. , 2012,(2): 229-234
针对影视作品中的大量离焦图像
提出了一种离焦图像的深度图提取方法。将离焦图像的聚焦前景和离焦背景进行分离。对离焦背景提出了深度图模型匹配的方法
构建深度图模型并结合人眼视觉对场景深度的敏锐判断
将背景与对应的深度图模型进行匹配
实现背景深度图的构建;提出了基于颜色分割的深度图再处理
来进一步提高场景深度图的精度。对前景采用单深度赋值
并结合背景深度图融合生成最终深度图。实验表明采用该方法提取的深度图在深度跳跃和深度平滑区域都得到了好的效果。
For a large number of defocused images in films and televisions
the paper proposes a method for depth map extraction of defocused image. Firstly
the focused foreground is separated from the defocused background in a defocused image. For the defocused background
a method for depth map model matching is presented
a depth map model is constructed
and the background and the corresponding depth map model is matched with the help of human's sensitive judgments on the scene depth. The paper also presents the depth map reprocessing based on color segmentation to improve the accuracy of the depth map of the scene. Finally
for the focused foreground
we assign a single value to be the depth in the area of the foreground
and produce the final depth map with respect to background depth map. The experiment shows depth maps obtained by the proposed method have good results in the areas of depth smooth and depth jump.
Wong K T,Ernst F. Master thesis "Single Image Depth-from-Defocus". Eindhoven,The Netherland:Delft University of Technology & Philips Natlab Research,2004.[2] Valencia S A,Rodriguez-Dagnino R M. Synthesizing stereo 3D view from focus cues in monoscopic 2D images [J].Proc.SPIE,2003,5006:377-388.[3] Guo G,Zhang N,Huo L,et al.2D to 3D Conversion based on edge defocus and segmentation //IEEE International Conference on Acoustics,Speech and Signal Processing,Las Vegas, America: IEEE,2008:2181-2184.[4] Chen Y C,Wu Y C,Liu C H,et al.Depth map generation based on depth from focus //IEEE International Conference on Systems and Applications,Kuala Lumpur, Malaysia:IEEE,2010:59-63.[5] Li H l,Ngan K N. Unsupervized video segmentation with low depth of field [J]. IEEE Transactions on Circuits and Systems for Video Technology,2007,17(12): 1742-1751.[6] Comaniciu D,Meer P.Mean shift-a robust approach toward feature space analysis [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5): 603-619.[7] Battiato S,Curti S,La Cascia M,et al.Depth-map generation by image classification //SPIE IS&T/SPIE's 16th Annual Symposium on Electronic Imaging, San Jose, America:SPIE,2004.[8] Nedovic V,Smeulders A W M,Redert A,et al.Depth Estimation via Stage Classification //3DTV-Conference,Istanbul, Turkey:IEEE,2008:77-80.[9] Zhang R,Tsai P,Cryer J E,et al.Shape from shading:A survey [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1999,21(8):690-706.[10] Kang G W,Gan C Q,Ren W W.Shape from shading based on finite-element //Proceedings of International Conference on Machine Learning and Cybernetics,Guangzhou, China:IEEE,2005,8:5165-5169.
0
Views
50
下载量
5
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621