Fusing multiple color images for texturing models

Nobuyuki Bannai, A. Agathos, Robert B. Fisher
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引用次数: 27

Abstract

A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and automatic), captured color texture maps of the same structure can have very different colors. When fusing multiple views to create larger models, this color variation leads to a poor appearance with odd color tilings on homogeneous surfaces. This paper extends previous research on pairwise global color correction to multiple overlapping images. The central idea is to estimate a set of blending transformations that minimize the overall color discrepancy in the overlapping regions, thus spreading residual color errors, rather than letting them accumulate.
融合多个彩色图像纹理模型
在创建大型真实场景的3D模型时经常遇到的一个问题是不自然的颜色纹理融合。由于光照和相机设置(手动和自动)的变化,捕获的相同结构的颜色纹理图可能具有非常不同的颜色。当融合多个视图来创建更大的模型时,这种颜色变化会导致在均匀的表面上出现奇怪的颜色平铺。本文将以往的两两全局色彩校正研究扩展到多幅重叠图像。其核心思想是估计一组混合变换,使重叠区域的整体颜色差异最小化,从而扩散剩余的颜色误差,而不是让它们累积起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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