Abstract
This paper presents a robust face detection system intended to be used for practical human interactive distributed robotic environment. Towards future aging society, there are much expectation and social demands for such human interactive environment that is possible to collaborate and support humans. Typical examples are Intelligent Room at MIT, Intelligent Space at University of Tokyo, Easy Living at Microsoft Research, and so forth. For these distributed robotic environment, face detecting function of the each agents are very crucial. However, in the real situation, it cannot be easy to realize the robust detection, because position, size, and brightness of face image are much changeable.
To solve these problems the authors develop such system that can detect the face robustly in the practical situation. Since the system has wide dynamic range of detectable size and brightness of the face image, it is robust against size variation and brightness fluctuation. The dynamic range of the maximum and minimum face size is 7:1. The range of the brightness is 8:1, where maximum illumination is 1290 1x and minimum is 160 1x. By combining several techniques, such as skin color extraction, correlation-based pattern matching, multi-scale, and histogram equalization, the authors succeed to realize these robustness
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© 2002 Springer-Verlag Tokyo
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Mizoguchi, H., Hidai, Ki., Hiraoka, K., Tanaka, M., Shigehara, T., Mishima, T. (2002). Implementing a Face Detection System Practically Robust against Size Variation and Brightness Fluctuation for Distributed Autonomous Human Supporting Robotic Environment. In: Asama, H., Arai, T., Fukuda, T., Hasegawa, T. (eds) Distributed Autonomous Robotic Systems 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65941-9_12
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DOI: https://doi.org/10.1007/978-4-431-65941-9_12
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-65943-3
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