Robot vision
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
LCIS: a boundary hierarchy for detail-preserving contrast reduction
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images under Variable Illumination
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
The CMU Pose, Illumination, and Expression (PIE) Database
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Subspace gradient domain mesh deformation
ACM SIGGRAPH 2006 Papers
Total Variation Models for Variable Lighting Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient gradient-domain compositing using quadtrees
ACM SIGGRAPH 2007 papers
An image preprocessing algorithm for illumination invariant face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Illumination normalization using logarithm transforms for face authentication
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Face recognition under varying lighting conditions using self quotient image
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face recognition under variable lighting using harmonic image exemplars
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
A Comparative Study of Local Matching Approach for Face Recognition
IEEE Transactions on Image Processing
Topology Preserving Non-negative Matrix Factorization for Face Recognition
IEEE Transactions on Image Processing
A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses
IEEE Transactions on Image Processing
A Hybrid Color and Frequency Features Method for Face Recognition
IEEE Transactions on Image Processing
An effective illumination compensation method for face recognition
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Homomorphic filtering based illumination normalization method for face recognition
Pattern Recognition Letters
Face recognition using the POEM descriptor
Pattern Recognition
Remote identification of faces: Problems, prospects, and progress
Pattern Recognition Letters
Face detection under illumination variance using combined adaboost and gradientfaces
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Robust recognition against illumination variations based on SIFT
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part III
Complete gradient face: a novel illumination invariant descriptor
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
A study on the effective approach to illumination-invariant face recognition based on a single image
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Illumination normalization for face recognition under extreme lighting conditions
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
An Illumination Robust Algorithm for Face Recognition Via SRC and Gradientfaces
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
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In this correspondence, we propose a novel method to extract illumination insensitive features for face recognition under varying lighting called the Gradientfaces. Theoretical analysis shows Gradientfaces is an illumination insensitive measure, and robust to different illumination, including uncontrolled, natural lighting. In addition, Gradientfaces is derived from the image gradient domain such that it can discover underlying inherent structure of face images since the gradient domain explicitly considers the relationships between neighboring pixel points. Therefore, Gradientfaces has more discriminating power than the illumination insensitive measure extracted from the pixel domain. Recognition rates of 99.83% achieved on PIE database of 68 subjects, 98.96% achieved on Yale B of ten subjects, and 95.61% achieved on Outdoor database of 132 subjects under uncontrolled natural lighting conditions show that Gradientfaces is an effective method for face recognition under varying illumination. Furthermore, the experimental results on Yale database validate that Gradient-faces is also insensitive to image noise and object artifacts (such as facial expressions).