Seamless texture stitching on a 3D mesh by poisson blending in patches

In this paper, we propose a novel approach to seamless texture stitching on a 3D mesh. The main idea is to blend the sampled images by least-angle selection of gradients in overlapping patches. This is in contrast to previous works which focus on vertex- or face-based strategies with additional heuristics for robustness. Patches are obtained by growing a uniform mesh segmentation via geodesic projections. Blending is achieved by formulating a screened Poisson equation using discrete differential operators. The processing pipeline further includes an optional step of color transformation for calibration and correction. This is applied to a zippered mesh based on range scans and a morphable model fitted to face photographs.