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Automatic Face Recognition

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Machine Learning for Audio, Image and Video Analysis

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

The problem of automatic face recognition (AFR) can be stated as follows: given an image or a video showing one or more persons, recognize the individuals that are portrayed in a predefined dataset of face images [72]. Such a task has been studied for several decades. The earliest works appeared at the beginning of the 1970s [28] [29], but it is only in the last few years that the domain has reached its maturity. The reason is twofold: on one hand, necessary computational resources are now easily available and recognition approaches achieve, at least in controlled conditions, satisfactory results. On the other hand, several applications of commercial interest require robust face recognition systems, e.g. multimedia indexing, tracking, human computer interaction, etc.

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(2008). Automatic Face Recognition. In: Machine Learning for Audio, Image and Video Analysis. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84800-007-0_13

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  • DOI: https://doi.org/10.1007/978-1-84800-007-0_13

  • Publisher Name: Springer, London

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  • Online ISBN: 978-1-84800-007-0

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