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Facial surface reconstruction in 3D format

Shchegoleva N.

Journal of Theoretical and Applied Computer Science

2012

Vol. 6, nr 4

37-50

This article presents a method of improving the quality of a reconstructed 3D surface of a face or its parts using the inverse distance method (IDM). The proposed method eliminates undesired holes in the range image, which appear due to significant omissions of measurements from the face scanner. Application of the method allows to build a 3D surface with the desired resolution, without solving the problem of triangulation therefore reducing the computational cost. The results of the experiments show the efficiency and the quality of the reconstructions obtained using the proposed algorithm.

Two-dimensional principal component analysis for face image representation and recognition

Kukharev G., Shchegoleva N.

Metody Informatyki Stosowanej

2010

nr 3 (23)

149-168

Paper presents two-dimensional principal component analysis (2D PCA) applications for face image analysis. The method is based on representation of an image as a collection of its rows and columns, and application of PCA to these collections. Two versions of 2D PCA implementation called parallel and cascade forms and their specific characteristics are presented. In experiments both forms are applied to representation and recognition of face images using two standard databases ORL and FERET.