A novel based a trajectory-guided, concatenating approach for synthesizing high-qualityimage real sample renders video is proposed . The lips reading automated is seeking formodeled the closest real image sample sequence preserve in the library under the data videoto the HMM predicted trajectory. The object trajectory is modeled obtained by projecting theface patterns into an KDA feature space is estimated. The approach for speaker's faceidentification by using synthesise the identity surface of a subject face from a small sample ofpatterns which sparsely each the view sphere. An KDA algorithm use to the Lip-reading imageis discrimination, after that work consisted of in the low dimensional for the fundamental lipfeatures vector is reduced by using the 2D-DCT.The mouth of the set area dimensionality isordered by a normally reduction base on the PCA to obtain the Eigen lips approach, theirproposed approach by[33]. The subjective performance results of the cost function under theautomatic lips reading modeled , which wasn’t illustrate the superior performance of themethod.
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