![]() We illustrate how the age-based anthropometric constraints on facial proportions translate into linear and non-linear constraints on facial growth parameters and propose methods to compute the optimal growth parameters. We characterize facial growth by means of growth parameters defined over facial landmarks often used in anthropometric studies. The model takes into account anthropometric evidences collected on facial growth and hence is in accordance with the observed growth patterns in human faces across years. The model draws inspiration from the #145 revised #146 cardioidal strain transformation model proposed in psychophysical studies related to craniofacial growth. We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
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