Abstract
In this paper, we propose a heterogeneous committee machine for face processing including face detection and recognition. Our proposed system consists of two components, Face Detection Committee Machine (FDCM) and Face Recognition Committee Machine (FRCM), which employs three and five well-known state-of-the-art approaches respectively. We engage different methodologies to solve the face detection and face recognition problems. We provide a rigorous architecture set-up and experimentation protocol to demonstrate the improved performance of FDCM and FRCM over the individual experts.
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Jang, KF., Tang, HM., Lyu, M.R., King, I. (2003). A Face Processing System Based on Committee Machine: The Approach and Experimental Results. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_75
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DOI: https://doi.org/10.1007/978-3-540-45179-2_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40730-0
Online ISBN: 978-3-540-45179-2
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