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Information Science Reference Face Recognition in Adverse Conditions (Advances in Computational Intelligence and Robotics (Acir))

Name: Face Recognition in Adverse Conditions (Advances in Computational Intelligence and Robotics (Acir))
Brand: Information Science Reference

AI & Machine Learning

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Product Description Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings.Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition. About the Author Maria De Marsico, Sapienza University of Rome, Italy.Michele Nappi, University of Salerno, Italy.Massimo Tistarelli, University of Sassari, Italy.

Product Specifications

Brand: Information Science Reference
Format: hardcover
ASIN: 1466659661
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 April 2014
Listed Since: 18 January 2014

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Information Science Reference Face Recognition in Adverse Conditions (Advances in Computational Intelligence and Robotics (Acir))

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