数字人切片数据的硬件加速体绘制

实现了一个PC平台下的体绘制硬件加速算法，并对中国数字人、美国可视化人数据集进行可视化．预处理去除图像背景时，将图像从RGB颜色空间转换到YCbCr颜色空间，然后对Cb分量进行Otsu阈值化处理，用生成的二值图像作为掩码图像去除背景．为支持任意大小的体数据，采取了分块策略，并使用BSP树组织数据块，以生成正确的绘制顺序．此外还设计了一种基于图像的CIELUV颜色空间L分量的梯度向量场的传输函数，并取得了良好的绘制效果．

Hardware-Accelerated Volume Rendering Based on Digital Human Slice Images

In this paper, a hardware-accelerated volume rendering method on standard PC platform is realized, to visualize the Chinese Digital Human datasets and American Visible Human datasets. By the method, during the preprocess stage of Chinese Digital Human, in order to remove image background, firstly the image is converted from RGB color space to YCBCr color space, then the Cb channel data is handled with Otsu method to generate binarized images. At last the image background would be removed through using the previous output results as masks. In order to render volumes in arbitrary size, a block- algorithm is performed, and the blocks are constructed by BSP Tree to get a proper rendering order. When designing transfer function, we convert the images into CIELUV color space and compute the GVF magnitude of the L channel data as the transparency. Experiments show that the results of the algorithm are satisfactory and efficient.