Illumination ratio image: synthesizing and recognition with varying illuminations

Authors:
Jiali Zhao;Yong Su;Dejun Wang;Siwei Luo
Affiliations:
Beijng Lab., Samsung Advanced Institute of Technology (SAIT), Beijing, 100081, China;CASCO Corporation, Beijing 100055, China;Beijng Lab., Samsung Advanced Institute of Technology (SAIT), Beijing, 100081, China;Department of Computer Science, Northern Jiaotong University, Beijing 100044, China
Venue:
Pattern Recognition Letters
Year:
2003

Citing 6
Cited 10

Face recognition: the problem of compensating for changes in illumination direction

ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
On Photometric Issues in 3D Visual Recognition from aSingle 2D Image

International Journal of Computer Vision
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations

IEEE Transactions on Pattern Analysis and Machine Intelligence
What is the set of images of an object under all possible lighting conditions?

CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Illumination Cones for Recognition under Variable Lighting: Faces

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

An efficient illumination normalization method for face recognition

Pattern Recognition Letters
Face recognition using elastic local reconstruction based on a single face image

Pattern Recognition
Illumination-robust face recognition using ridge regressive bilinear models

Pattern Recognition Letters
Illumination compensation and normalization in eigenspace-based face recognition: A comparative study of different pre-processing approaches

Pattern Recognition Letters
Adaptive active appearance model with incremental learning

Pattern Recognition Letters
Face Recognition under Variant Illumination Using PCA and Wavelets

SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
An EDBoost algorithm towards robust face recognition in JPEG compressed domain

Image and Vision Computing
Robust regression for face recognition

Pattern Recognition
A novel illumination normalization method for face recognition

IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
An efficient illumination invariant face recognition framework via illumination enhancement and DD-DTCWT filtering

Pattern Recognition

Quantified Score

Hi-index	0.10

Visualization

Abstract

Illumination ratio images are presented in the paper to illuminate the faces. Our rendering method can simulate the distribution of the images with varying illuminations and generate new training images for face recognition with single frontal view. We analyzed the reason of the assumption that different persons have the same surface normal but different albedo. The synthesized images were compared with the original images by Gamma correction and error images. Our experiment shows that eyes are not lambertian surfaces. The synthesized images improve the face recognition performance by using the individual eigenface classifier.