为了降低自由视点电视系统中由于深度估计不准确和深度数据压缩带来的量化失真对重建虚拟视点图像质量产生的影响，提出了一种面向虚拟视点绘制的深度压缩算法. 根据深度数据的统计特性，设计了一种基于三次B样条函数的上下采样方法对深度图进行下采样. 采用多视点视频编码对下采样深度图进行编码，在解码端则对深度图进行上采样，并针对解码深度图边缘处的模糊现象，用双边滤波器优化深度图边界. 实验结果表明，与传统的MVC编码方案相比，该方案在保持虚拟绘制图像质量不变（甚至略有提升）的情况下，显著降低了传输码率，有助于在自由视点系统的接收端获得高精度的重建图像.

A depth map compression method oriented to virtual view rendering is proposed to reduce distortion of virtual view synthesis in a free-viewpoint television (FTV) system. The distortion is caused by quantization of depth data and inaccuracy of depth estimation algorithm. According to the statistics of depth data, a depth down/up sampling techniques based on the non-uniform B-spline curve is proposed. The depth map is down-sampled and coded with MVC. In the de-coding side, the depth map is up-sampled. To deal with the serration phenomenon in edges of the decoded depth image, a bilateral filtering is used to align the object boundaries. The experimental results evaluated by objective and subjective methods indicate that the proposed method can reduce bit-rate of depth coding and achieve better rendering quality. It can improve high-accurate reconstruction of synthesized images at the receiver of FTV systems.