A Review Paper on A Novel camera pose estimation approach for Multi-pose 2D face model recognition using 3D face image

Mr. Barkade Samadhan Pandurang; Prof.P.R.Badadapure

CALL FOR PAPERS : Feb-2026

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25-Feb-26

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A Review Paper on A Novel camera pose estimation approach for Multi-pose 2D face model recognition using 3D face image

Author(s):

Mr. Barkade Samadhan Pandurang , Dept Of ENTC-Signal Processing1, ICOER Pune (MH) India; Prof.P.R.Badadapure, Dept Of ENTC-Signal Processing1, ICOER Pune (MH) India

Keywords:

Image enhancement of face model, Image restoration in the face features, Image compression model of face, Segmentation of face model

Abstract:

There is a Estimation of head pose angles from a single 2D face image using a 3D face image model morphed from a reference face model image. The method minimizes the disparity between the two sets of prominent image facial features on the query face image and the corresponding points on the 3D face image model to find the head pose angles. The 3D face model used is morphed from a current reference model to be more important specific to the query face image in terms of the depth error at feature points. The morphing method produces a 3D face model image more specific to the query image when multiple 2D face model of the query subject are ready for training. The process of morphing proposed is computationally efficient since the depth of a 3D face image model is arranged by a scalar depth parameter at feature points. Optimal depth parameters are found by minimizing the disparity between the 2D features of the image query face image model and the corresponding features on the morphed 3D model projected onto 2D space Proceedings in the model of image.