Illumination Compensation Research Based Adaptive Transform And Spacial Homomorghic Transform

Face detection and face recognition is of important research and application value, and AdaBoost is one of the fastest algorithm for face detection. Illumination is an principal problem research and application for face detection and face recognition, it is main cause that constraint increase of face detection rate and face recognition rate. The methods of illumination compensation is divided into two categories: based-processing image and based-module, the based-module method is not widely application because its computation is complicate and its constraint condition is many, the based-processing image method is in widespread use because its computation is simply and fast. The based-processing image methods, HE,GIC and HS is of something in its, GIC need a corresponding standard illumination image, HE is easy to been influenced by background, HS need propose a histogram curve, apart from this, logarithm transform, exponent transform and gamma correction its abilities to process illumination compensation are not adequate, logarithm transform is only applicable to too dark image, exponent transform is only applicable to too bright image, gamma correction can not proform independently illumination compensation. In this paper propose adapted transform techique and airspace domain homomorphic transform techique that can been applied by common illumination compensation methods, its can improve proformance of face detection.The illumination of image is very complicate, almost all based-processing image methods can injury normal illumination images, and reduce decrease of face detection, the main cause that lead to this problem is no criterion of illumination, and standard illumination images and those images that need compensate are all proformed. In this paper two simply illumination criterion was proposed, and adapted transform techique based these criterion greatly improve all of the above, adapted logarithm and adapted exponent can been applicable to dark image and bright image, adapted gamma correction proform without any parameter and compensate all illumination images, HE adopted adaptive transform techique has eliminated defection of easy to influented by background to some extend.The based-processing image methods did not distinguish incoming and reflecting of image, and the incoming and the reflecting are to been process altogather, bring about distortion of image. In this paper the airspace homomorphic compensation techique was proposed to solve this problem, this techique can been widespeard used by logarithm transform, exponent transform and gamma correction etc., image that proformed will become more clarity in detail.Illumination is only an aspect of the research of face detection and face recognition, in order to train a Adaboost system this paper adopted disk nest poly technology and asynchronous back I/O technology to increase the speed of training, and 1000 weak classifier was boosted into an strong classifer, this is to be platform of research and application of face detection and face recognition.