Autors: Manolova, A. H., Tonchev K., Paliy I.
Title: Comparative analysis of 3d face recognition algorithms using range image and curvature-based representations
Keywords: Three-dimensional displays , Face recognition , Face , Image representation , Principal component analysis , Vectors , Support vector machines

Abstract: In this paper we present a comparative analysis of two algorithms for image representation with application to recognition of 3D face scans with the presence of facial expressions. We begin with processing of the input point cloud based on curvature analysis and range image representation to achieve a unique representation of the face features. Then, subspace projection using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are performed. Finally classification with different classifiers will be performed.



    7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), vol. 1, pp. 394-398, 2013, Germany, IEEE, DOI 10.1109/IDAACS.2013.6662714

    Copyright IEEE

    Цитирания (Citation/s):
    1. Hauenstein, Jacob D., and Timothy S. Newman. "Curvature determination in range images: new methods and comparison study." Multimedia Tools and Applications 78 (7): 9247-9273. - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Maneli, M. A., & Isafiade, O. E. (2022). 3D Forensic Crime Scene Reconstruction Involving Immersive Technology: A Systematic Literature Review. IEEE Access, 10, 88821-88857. - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus