A Multi-resolution Approach for Color Correction of Textured Meshes

Mesh texturing is an essential part of 3D scene reconstruction that enables a more realistic perception than the geometry alone and even compensates for inaccurate geometry. In this work we present a flexible formulation for color correction of textured scenes based on color augmentation per face. It can be employed as a post-processing step after selecting the best keyframe per face to compensate for color differences between pairs of neighboring faces. We present a Markov Random Field (MRF) formulation to find the best keyframes as well as the optimal color augmentations. We use a simple model to avoid reflection and camera vignetting during the view selection. Our model for color correction finds the piecewise-linear augmentation to be added to the texture patches of faces. It encourages smoothness inside every fragment while compensating color differences along view transitions. Moreover, we speed up the optimization by breaking down the formulation into multiple binary MRFs that estimate the best augmentations from coarse to fine resolutions. The experimental results prove our method outperforming the state of the art methods.