Corpus ID: 38053204

griffith . edu . au Face Recognition across Pose : A Review

  title={griffith . edu . au Face Recognition across Pose : A Review},
  author={Xiaozheng Zhang and Yongsheng Gao},


Pose-robust face recognition using geometry assisted probabilistic modeling
  • Xiaoming Liu, Tsuhan Chen
  • Computer Science
  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
A geometry assisted probabilistic approach to improve face recognition under pose variation by approximate a human head with a 3D ellipsoid model, which enables the recognition to be conducted by comparing the texture maps instead of the original images, as done in traditional face recognition. Expand
The CMU Pose, Illumination, and Expression Database
In the Fall of 2000, we collected a database of more than 40,000 facial images of 68 people. Using the Carnegie Mellon University 3D Room, we imaged each person across 13 different poses, under 43Expand
The FERET database and evaluation procedure for face-recognition algorithms
The FERET evaluation procedure is an independently administered test of face-recognition algorithms to allow a direct comparison between different algorithms and to assess the state of the art in face recognition. Expand
Face recognition: a convolutional neural-network approach
A hybrid neural-network for human face recognition which compares favourably with other methods and analyzes the computational complexity and discusses how new classes could be added to the trained recognizer. Expand
Combination of Warping Robust Elastic Graph Matching and Kernel-Based Projection Discriminant Analysis for Face Recognition
A robust face recognition algorithm based on the elastic graph matching (EGM) and discriminative feature analysis algorithm is proposed, which outperformed the compared approaches and compared the performance with recently developed approaches. Expand
Locally Linear Regression for Pose-Invariant Face Recognition
A simple, but efficient, novel locally linear regression (LLR) method, which generates the virtual frontal view from a given nonfrontal face image, and shows distinct advantage of the proposed method over Eigen light-field method. Expand
Robust Face Alignment for Illumination and Pose Invariant Face Recognition
A robust face alignment approach is developed by inserting an illumination normalization module into the standard AAM searching procedure and inserting different poses of the same identity into the training set and the experimental results show that the combined pose alignment and illuminationnormalization methods increase the recognition rates considerably for all feature-spaces. Expand
Toward Pose-Invariant 2-D Face Recognition Through Point Distribution Models and Facial Symmetry
This paper proposes novel ways to deal with pose variations in a 2-D face recognition scenario and shows that if only pose parameters are modified, client specific information remains in the warped image and discrimination between subjects is more reliable. Expand
Using Stereo Matching for 2-D Face Recognition Across Pose
  • C. Castillo, D. Jacobs
  • Computer Science
  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007
This work built a face recognition system on top of a dynamic programming stereo matching algorithm and showed that the method works well even when the epipolar lines the authors use do not exactly fit the viewpoints. Expand
Design and Fusion of Pose-Invariant Face-Identification Experts
The proposed fusion architecture of the pose-invariant face experts achieves an impressive accuracy gain by virtue of the individual experts diversity. Expand