Face Recognition under Different Illuminations
可变光照条件下的人脸图像识别

To eliminate the effects of the changes of lightings,the conventional approaches firstly produce a compensation based face image under standard illumination from the input image,and then match it with the face templates in a database.In this paper,a novel face recognition approach for different illumination conditions is proposed.The proposed method generates a new gallery under the same lighting conditions with an input image instead of transforming the input image.First,a face illumination eigenspace is constructed from nine face images of the same person taken from nine basic directions respectively.And then,the face images in the face image database are transformed into the rendered images taken under the same illumination with the input image based on the face illumination eigenspace.Finally,the input image is matched with the newly rendered images which are regarded as a new gallery,to perform the recognition task.The experimental results show that the proposed approach can efficiently eliminate the effects of different illuminations,and has a high recognition rate in the illumination conditions with remarkable changes.