Face Recognition Using Component-Based SVM Classification and Morphable Models
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Discriminant Analysis of Principal Components for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition based on 3D ridge images obtained from range data
Pattern Recognition
Efficient 3D reconstruction for face recognition
Pattern Recognition
Volumetric stereo and silhouette fusion for image-based modeling
The Visual Computer: International Journal of Computer Graphics
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The goal of this paper is to present data structures in 3D face recognition systems emphasizing the role of meshes and depth maps. 3D face recognition systems are still in development since they use different data structures. There is no standarized form of 3D face data. Dedicated hardware (3D scanners) usually provide depth maps of objects, which is not sufficiently flexible data sturcture. Meshes are huge structures and operating on them is difficult and requieres a lot of resources. In this paper, we present advantages and disadvantages of both types of data structures in 3d face recognition systems.