![]() In: Proceedings of the European conference on computer vision In: IEEE electronics, circuits and systemsĬhen B-C, Hsu WH (2014) Cross-age reference coding for age-invariant face recognition and retrieval. Psychol Spain 6:83–95ĭanino U, Kiryati N, Furst M (2004) Facial weight-change simulation. Sepulveda AR, Botella J, Leon JA (2002) Body image disturbance in eating disorders: a meta-analysis. Harari D, Furst M, Kiryati N, Caspi A, Davidson M (2001) A computer-based method for the assessment of body-image distortions in anorexia nervosa patients. Behav Res Methods Instrum Comput 31:446–455 Perception 39:51–61īenson PJ, Emery JL, Cohen-Tovee EM, Tovee MJ (1999) A computer-graphic technique for the study of body size perception and body types. Experimental results show the advantages of proposed method with promising results.Ĭoetzee V, Perrett DI, Stephen LD (2010) Deciphering faces: quantifiable visual cues to weight. In the final step, both weight progressed and age-progressed face images fed to face morphing module which synthesized future face image by keeping natural looks. A Constrained Local Model is first used for weight progressed future face image synthesized and then age-progressed future face image is generated using Conditional Adversarial Auto Encoder. In this paper, a new methodology is introduced for future self-face image synthesis using age and weight, resulting in visualization of future face image derived from given weight category and age. Negative future self-perception can cause negative lifestyle choice and negative health behavior, leading to depression and eating disorder. Future self-perception is highly associated with one’s emotional state, as well as health behavior. With varying lifestyle choices, it is hard to imagine the appearance of a given human face in years to come. The appearance of a human face changes with the change in body weight and age.
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