Abstract
This publication describes predictive modeling techniques for adaptive face retouching according to a predictive model on a computing device. The adaptive face retouching enables preservation of important features that may depict diversity, persona, and uniqueness in images where retouching is applied by a computer. In the techniques, an algorithm may be implemented to balance image attributes from a variety of sources and categories. The algorithm may further reduce unnecessary, redundant processing on the computing device by storing computed attributes within a facial attribute database. As such, diverse facial features may be maintained while allowing adequate face retouching without requiring overuse of computing resources.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Hong, Wei; Lin, Shengyi; and Wei, Li, "Predictive Modeling Techniques for Adaptive Face Retouching", Technical Disclosure Commons, (April 05, 2021)
https://www.tdcommons.org/dpubs_series/4208