Abstract: This paper presents a new idea for detecting an unknown human face in input imagery & recognizing his/her facial expression, or face detection, using the photo sketch of faces with 3D surface. For this purpose two main problems are important i.e. face detection & location of faces. For this we want to need that the direction/side of face or what is the dimension (such that 2D) of face & their face texture, face extraction’s, & facial expressions. In this process using a 3D face, because a 3-D face is represented by a low dimensional Shape Space Vector (SSV).Conveying information about person’s original face or neural face .Many face recognition systems the image processing it is very interesting to recognize the human gesture by observing the different movement of eyes, mouth, nose etc. For face detection it is also important that a novel face photo-sketch synthesis & recognition method using a multiscaleMarkove Random Field (MRF) model. For this system three components are important i.e.1) given face photo 2) face sketch drawing 3) searching for face photo in the database based on a query sketch drawn by an artist. This entire task the main part is photo sketch [1].In lot of papers shows that face detection with photo-sketch, in my paper I have also used the face detection but, it try to use with 3D facial expressions.