Face verification across age progression

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 462 - 469 vol. 2
• Main Authors: Ramanathan, N., Chellappa, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Aging; Capacitive sensors; Educational institutions; Face detection; Face recognition; Humans; Image databases; Lighting; Pixel; Shape

Human faces undergo considerable amount of variations with aging. While studies have revealed the extent to which factors such as illumination variations, pose variations, facial expression and occlusions affect face recognition, the role of natural factors such as aging effects in affecting the sam...