Efficient Synthesis of Arbitrary Viewpoint Images Using 3-D Geometric Model and Mesh-Based Specular Reflection Tracing

K. Nishitani, G. Sugimura, H. Kobayashi, K. Fukuda, A. Kawanaka
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Abstract

A novel image synthesis method of an object at arbitrary viewpoint by using the 3-D geometric model and several camera images is proposed. Although the image-based rendering synthesizes the relatively accurate diffuse reflection component from the camera images from different viewpoints, it can not synthesize the specular reflection component with sufficient accuracy as the movement of the specular reflection component as the changes in viewpoints are not taken into consideration. In order to overcome this problem, we propose a method for synthesizing the arbitrary viewpoint images with the use of the displacement vectors of the specular reflection components. The displacement vectors are estimated by a hexagonal matching algorithm based on the triangle mesh model which was modified for arbitrary shaped images. In the hexagonal matching, the images synthesized from 3-D geometric model of a real object and camera images are used as reference image. The experiments show that the proposed method reconstructs the specular reflection components more accurately and also improves the coding performance compared to the conventional methods.
利用三维几何模型和基于网格的镜面反射跟踪高效合成任意视点图像
提出了一种利用三维几何模型和多幅相机图像合成任意视点目标图像的新方法。基于图像的渲染虽然从不同视点的相机图像中合成了相对准确的漫反射分量,但由于视点的变化没有考虑到镜面反射分量的移动,因此无法合成足够精确的镜面反射分量。为了克服这一问题,我们提出了一种利用镜面反射分量的位移矢量合成任意视点图像的方法。位移矢量的估计采用基于三角形网格模型的六边形匹配算法,该算法对任意形状的图像进行了改进。在六边形匹配中,将真实物体的三维几何模型与相机图像合成的图像作为参考图像。实验表明,与传统的编码方法相比,该方法可以更准确地重建镜面反射分量,并提高编码性能。
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