Autor:	Bas, Anil, Smith, William A. P., Bolkart, Timo, Wuhrer, Stefanie
Rok vydání:	2016
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-319-54427-4_28
Popis:	We propose a fully automatic method for fitting a 3D morphable model to single face images in arbitrary pose and lighting. Our approach relies on geometric features (edges and landmarks) and, inspired by the iterated closest point algorithm, is based on computing hard correspondences between model vertices and edge pixels. We demonstrate that this is superior to previous work that uses soft correspondences to form an edge-derived cost surface that is minimised by nonlinear optimisation. Comment: To appear in ACCV 2016 Workshop on Facial Informatics
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1602.01125 Zobrazit plný text záznamu View this record from Arxiv