MODEL BASED ESTIMATION OF HEAD MOTION AND FACIAL IMAGE SYNTHESIS

An approach to the estimation of head motion for the purposes of resynthesizing and coding facial images is presented.A 3 D deformable facial model is introduced for modeling a person’s face,which is an interactive generation by modification and matching with the specific human face images.After the model is modified,facial images are generated by using 3 D deformable facial model and multi direction texture mapping.The estimation of head motion is determined by selecting the parameters of head motion such that synthesized facial images in the estimation is the best approximation to the original images.The approach is based on 3 D face model,automatic deformation model.The method is appropriate for model based facial synthetic coding.The estimation and synthesis of local motions,such as mouth,eyes and nose,will depend on motion models of that.Human machine interaction methods need necessary environment and tools.This will be the future works.