欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
将2D转换为3D是目前3D多媒体成功应用的重要解决方法之一。而在2D至3D转换过程中，单视点图像中深度信息提取是最具挑战的任务。提出一种基于区域融合的单视点图像深度信息提取方法，利用区域融合对单视点图像进行区域融合，用先验假设的深度梯度图对区域进行深度分配，得到基于区域融合的深度图。实验结果表明通过所提方法得到的深度图可绘制出具有强烈视觉效果的3D图像。
英文摘要：
Generating three - dimensional （3 D） scenes from two - dimensional （2D） scenes is one of the important methods for 3 D multimedia services application. During 2D- to- 3D conversion, depth estimation from a single -view image is probably the most challenging task. In this paper, a new depth estimation method is proposed for single -view image based on region merging. Firstly, the image is segmented to several regions using region merging, a prior hypothesis of depth gradient is used to assign depth to this regions, and a depth map is gotten using region merging at last. The re- suits show that the 3D image can be gotten with high visual quality using the proposed system.
同期刊论文项目
同项目期刊论文
Stereoscopic Visual Attention Based Regional Bit Allocation Optimization for Multi-view Video Coding
期刊信息
位置：