A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Lambertian Reflectance and Linear Subspaces
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
The CMU Pose, Illumination, and Expression (PIE) Database
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
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
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
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The illumination variance makes the robust face detection a challenging problem. Although there are some methods focusing on the de-lighting problem, the requirement for testing set or the 3D information limits the application for the detection tasks. According to the reflection function, the illumination takes the role of amplification for the reflective character of the surface. The shadows will make the features of the object attenuated or diminished. We introduce the radiance map ratio to adjust the image to a new illumination condition and apply the original image to compensate the adjusted image. The re-lighting and compensation makes the illumination condition uniform and keeps the original smooth changed information. As a pre-filter in the detector, the re-lighting and compensation method facilitates the performance of the detector.