Model and Dictionary Guided Face Inpainting in the Wild

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• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10116
• 期：1
• 页码：62-78
• 丛书名：Computer Vision ?ACCV 2016 Workshops
• ISBN：978-3-319-54407-6
• 卷排序：10116

文摘

This work presents a method that can be used to inpaint occluded facial regions with unconstrained pose and orientation. This approach first warps the facial region onto a reference model to synthesize a frontal view. A modified Robust Principal Component Analysis (RPCA) approach is then used to suppress warping errors. It then uses a novel local patch-based face inpainting algorithm which hallucinates missing pixels using a dictionary of face images which are pre-aligned to the same reference model. The hallucinated region is then warped back onto the original image to restore missing pixels.