Fusing multiple color images for texturing models

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.