Title: | Comparison of Methods of Feature Generation for Face Recognition |
Authors: | Siwek, Krzysztof Osowski, Stanislaw |
Citation: | CPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 4th – 6th September 2013 Roztoky u Křivoklátu, Czech Republic, p. VII-2. |
Issue Date: | 2013 |
Publisher: | University of West Bohemia |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://hdl.handle.net/11025/11623 |
ISBN: | 978-80-261-0247-2 |
Keywords: | rozpoznávání života;transformace dat;generování znaků |
Keywords in different language: | face recognition;transformation of data;feature generation |
Abstract: | The paper is concerned with the recognition of faces at application of different methods of global feature generation. We check the selected choice of transformations of images, leading to the numerical representation of the face image. The investigated approaches include the linear and nonlinear methods of transformation: principal component analysis (PCA), Kernel PCA, Fisher linear discriminant analysis (FLD), Sammon transformation and stochastic neighbor embedding with t-distribution (tSNE). The representation of the image in the form of limited number of main components of transformation is put to the input of support vector machine classifier (SVM). The numerical results of experiments will be presented and discussed. |
Rights: | © University of West Bohemia |
Appears in Collections: | CPEE – AMTEE 2013 CPEE – AMTEE 2013 |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11623
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