Three-Dimensional Face Recognition Using Shapes of Facial Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence2006Vol. 28(11), pp. 1858–1863
Citations Over TimeTop 1% of 2006 papers
Abstract
We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) represent surfaces by unions of level curves, called facial curves, of the depth function and 2) compare shapes of surfaces implicitly using shapes of facial curves. The latter is performed using a differential geometric approach that computes geodesic lengths between closed curves on a shape manifold. These ideas are demonstrated using a nearest-neighbor classifier on two 3D face databases: Florida State University and Notre Dame, highlighting a good recognition performance.
Related Papers
- → Face Recognition System Using Computational Algorithms(2022)7 cited
- → Analysis of the effects of image transformation, template selection, and partial information on face recognition with time-varying expressions for homeland security applications(2013)3 cited
- → An Analysis on Face Recognition using Principal Component Analysis Approach(2022)3 cited
- Face Detection and Recognition(2004)
- Plenary lecture 2: machine learning of human faces: global versus local face recognition(2010)