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Information Science Reference Face Recognition in Adverse Conditions - Information Science Ref

Amazon

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Description

Face Recognition in Adverse Conditions examines the evolution of facial recognition software and its ability to handle real-world challenges. While error rates have decreased significantly over the last decade, technical hurdles like poor lighting, profile-only angles, and physical obstructions still impact accuracy. This book, part of the Advances in Computational Intelligence and Robotics (Acir) series, explores how developers design more effective applications to manage these variables. It covers facial recognition under real-world PIE variations, current industry applications, and the future direction of the field. This text provides essential insights for those studying how computational intelligence addresses environmental and situational obstacles in biometric technology.

Key Features

Information Science Reference presents this study on facial recognition software and its ability to handle real-world challenges.

The book examines specific obstacles such as poor lighting, obstructions, and profile-only angles in biometric readings.

Content includes a detailed look at facial recognition under real-world PIE variations to improve application effectiveness.

This title is part of the Advances in Computational Intelligence and Robotics (Acir) series.

Readers can explore current applications and the future of the facial recognition field through this technical text.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 April 2014
Listed Since
18 January 2014

Barcode

No barcode data available

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