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An Overview of Two Age Synthesis and Estimation Techniques [article]

Milad Taleby Ahvanooey, Qianmu Li
2020 arXiv   pre-print
Age estimation is a technique for predicting human ages from digital facial images, which analyzes a person's face image and estimates his/her age based on the year measure.  ...  In this case study, we overview the existing models, popular techniques, system performances, and technical challenges related to the facial image-based age synthesis and estimation topics.  ...  Fu and Zheng [15] have been presented a novel facial modeling framework (M-Face) based on appearance photorealistic of the multiple facial object class for emotional face September, 2018 rendering.  ... 
arXiv:2002.03750v1 fatcat:ytm6uv5vsnhtvkbvbr3tyw5lga

Age Synthesis and Estimation via Faces: A Survey

Yun Fu, Guodong Guo, T S Huang
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the facial appearance.  ...  Existing models, popular algorithms, system performances, technical difficulties, popular face aging databases, evaluation protocols, and promising future directions are also provided with systematic discussions  ...  Fu and Zheng [30] presented the M-Face framework for appearance-based photorealistic facial modeling. The Aging Ratio Image (ARI) is captured from their aging database for texture rendering.  ... 
doi:10.1109/tpami.2010.36 pmid:20847387 fatcat:fzucchc7mzhanl7n3lsy6sxhe4

Inverse Rendering of Faces with a 3D Morphable Model

Oswald Aldrian, William A.P. Smith
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this thesis, we present a complete framework to inverse render faces with a 3D Morphable Model.  ...  This is achieved by incorporating statistical models for ambient occlusion and bent normals into the image formation model.  ...  Segmented morphable model A 3DMM constructed from m face scans, can make use of m − 1 principal components for face modelling.  ... 
doi:10.1109/tpami.2012.206 pmid:23520253 fatcat:34x6ffbpkvdm3cqarqzjbk254u

Gaze Estimation with Graphics

Erroll William Wood, Apollo-University Of Cambridge Repository, Apollo-University Of Cambridge Repository, Peter Robinson
First, I present a new method for training gaze estimation systems that use machine learning: learning-by-synthesis using 3D head scans and photorealistic rendering.  ...  Gaze is used for a wide range of applications including market research, usability studies, and gaze-based interfaces. Traditional equipment uses special hardware.  ...  These are encoded as 4×4 homogenous transformation matrices T and R, so model-to-world transform M face = TR.  ... 
doi:10.17863/cam.13838 fatcat:epnwlenx5fgqpppifexnuwae6e

Real-Time Generative Hand Modeling and Tracking

Anastasia Tkach
Other appearance-based methods could be used for initialization as well [Tompson et al., 2014] .  ...  We quantitatively and qualitatively compare the performance of our algorithm to recent appearance-based and model-based techniques (see Section 2.5).  ...  equivalent to the update of the IEIF from Table 7 for measurement z n = d n .  ... 
doi:10.5075/epfl-thesis-8573 fatcat:jdpz4q4vabhurdfpc6os745rxi