The age-invariant face recognition (AIFR) is a relatively new area of research in the face recognition domain which has recently gained substantial attention due to its great potential and importance in real-world applications. However, the AIFR is still in the process of emergence and development, offering a large room for further investigation and accuracy improvement. The key challenges in the AIFR are considerable changes of appearance of facial skin (wrinkles, jaw lines), facial shape, and skin tone in combination with the variations of pose and illumination. These challenges impose limitations on the current AIFR systems and complicate the recognition task for identity verification especially for temporal variation. In order to address this problem, we need a temporally invariant face verification system that would be robust vis-à-vis several factors, such as aging (shape, texture), pose, and illumination.
Age-invariant face recognition using gender specific 3D aging modeling / Riaz, S; Ali, Z; Park, U; Choi, J; Masi, I; Natarajan, P. - In: MULTIMEDIA TOOLS AND APPLICATIONS. - ISSN 1573-7721. - (2019).
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|Titolo:||Age-invariant face recognition using gender specific 3D aging modeling|
|Data di pubblicazione:||2019|
|Citazione:||Age-invariant face recognition using gender specific 3D aging modeling / Riaz, S; Ali, Z; Park, U; Choi, J; Masi, I; Natarajan, P. - In: MULTIMEDIA TOOLS AND APPLICATIONS. - ISSN 1573-7721. - (2019).|
|Appartiene alla tipologia:||01a Articolo in rivista|