特征纹理法:基于三维模型的外观压缩

K. Nishino, Yoichi Sato, K. Ikeuchi
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引用次数: 117

摘要

基于图像的方法和基于模型的方法是两种具有代表性的绘制方法,用于从物体的真实图像生成物体的虚拟图像。这两种方法已经在CV和CG社区进行了广泛的研究。然而,当将这两种方法应用于混合现实时,我们将这些虚拟图像与真实背景图像集成在一起,这两种方法仍然存在一些缺点。为了克服这些困难,我们提出了一种新的方法,我们称之为特征纹理方法。该方法对真实物体在不同光照和观看条件下的外观进行采样,并将其压缩到三维模型表面上定义的二维坐标系中。3D模型是由一系列距离图像生成的。本征纹理法不需要对物体表面进行任何详细的反射率分析,具有实用性强的特点,并且由于三维几何模型的精确,具有很大的优势。本文描述了该方法,并报告了其实现过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eigen-texture method: Appearance compression based on 3D model
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. Extensive research on these two methods has been made in CV and CG communities. However, both methods still have several drawbacks when it comes to applying them to the mixed reality where we integrate such virtual images with real background images. To overcome these difficulties, we propose a new method which we refer to as the Eigen-Texture method. The proposed method samples appearances of a real object under various illumination and viewing conditions, and compresses them in the 2D coordinate system defined on the 3D model surface. The 3D model is generated from a sequence of range images. The Eigen-Texture method is practical because it does not require any detailed reflectance analysis of the object surface, and has great advantages due to the accurate 3D geometric models. This paper describes the method, and reports on its implementation.
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