Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Character Classification Using Nearest Neighbor in Large Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elastic image matching is NP-complete
Pattern Recognition Letters
A Monotonic and Continuous Two-Dimensional Warping Based on Dynamic Programming
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
The CMU Pose, Illumination, and Expression (PIE) Database
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Robust Real-Time Face Detection
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Convergent Tree-Reweighted Message Passing for Energy Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic learning for fully automatic face recognition across pose
Image and Vision Computing
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Constrained Energy Minimization for Matching-Based Image Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
IEEE Transactions on Information Forensics and Security
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In this work, we propose a novel extension of pseudo 2D image warping (P2DW) which allows for joint alignment and recognition of non-rectified face images. P2DW allows for optimal displacement inference in a simplified setting, but cannot cope with stronger deformations since it is restricted to column-to-column mapping. We propose to implement additional flexibility in P2DW by allowing deviations from column centers while preserving vertical structural dependencies between neighboring pixel coordinates. In order to speed up the recognition we employ hard spacial constraints on candidate alignment positions. Experiments on two well-known face datasets show that our algorithm significantly improves the recognition quality under difficult variability such as 3D rotation (poses), expressions and illuminations, and can reliably classify even automatically detected faces. We also show an improvement over state-of-the-art results while keeping computational complexity low.