作者: Nazre Batool , Rama Chellappa , None
DOI: 10.1007/978-3-319-25958-1_11
关键词:
摘要: Analysis and modeling of aging human faces have been extensively studied in the past decade for applications computer vision such as age estimation, progression face recognition across aging. Most this research work is based on facial appearance features shape, geometry, location landmarks patch-based texture features. Despite recent availability higher resolution, high quality images, we do not find much image analysis local wrinkles specifically. For most part, skin texture, fine lines has a focus graphics photo-realistic rendering applications. In vision, very few related Where several survey papers can be found chapter focuses specifically context Facial categorized subtle discontinuities or cracks surrounding inhomogeneous pose challenges to being detected/localized images. First, review commonly used capture intensity gradients caused by then present curvilinear objects different The reviewed include localization detection incorporation more realistic progression, estimation inpainting/removal retouching.