Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Unconstrained Face Recognition (International Series on Biometrics)

Buy
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

Although face recognition has been actively studied over the past decade, the state-of-the-art recognition systems yield satisfactory performance only under controlled scenarios and recognition systems degrade significantly when confronted with unconstrained situations.

Examples of unconstrained conditions include illumination and pose variations, video sequences, expressions, aging, and so on. Recently, researchers have begun to investigate face recognition under unconstrained conditions. For example, as video sequence becomes ubiquitous due to advances in digital imaging devices and the advent of the Internet era, face recognition based on video sequences is gaining more attention. Face recognition under illumination and pose variations remains a big challenge to researchers.

The goal of this book is to provide a comprehensive review of unconstrained face recognition, especially face recognition from video, and to assemble descriptions of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying theme of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and gain improvements in recognition performance when compared with conventional algorithms. For instance, generalized photometric stereo combines physics-based illumination model with statistical modeling to address face recognition under illumination variation. Simultaneous tracking and recognition employs the temporal information embedded in a video sequence and thus improves both tracking accuracy and recognition performance.
(HTML tags aren't allowed.)

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner....

Ordinary Differential Equations
Ordinary Differential Equations
Skillfully organized introductory text examines origin of differential equations, then defines basic terms and outlines general solution of a differential equation. Subsequent sections deal with integrating factors; dilution and accretion problems; linearization of first order systems; Laplace Transforms; Newton’s Interpolation Formulas,...
Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python
Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python

*** Book also provides you FREE Access to Online Instructional Videos. See video codes in the book ***

This book is about the 23 common GoF (Gang of Four) Design Patterns implemented and in Python.

A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring...


Principles of Partial Differential Equations (Problem Books in Mathematics)
Principles of Partial Differential Equations (Problem Books in Mathematics)

This concise book covers the classical tools of PDE theory used in today's science and engineering: characteristics, the wave propagation, the Fourier method, distributions, Sobolev spaces, fundamental solutions, and Green's functions. The approach is problem-oriented, giving the reader an opportunity to master solution techniques. The...

Machine Learning with Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization
Machine Learning with Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization

Machine learning is rapidly changing the world, from diverse types of applications and research pursued in industry and academia. 

Machine learning is affecting every part of your daily life. From voice assistants using NLP and machine learning to make appointments, check your calendar, and play music,...

Complex Variables and the Laplace Transform for Engineers
Complex Variables and the Laplace Transform for Engineers

Widely acclaimed text on essential engineering mathematics. Theory of complex variables, Cauchy-Riemann equations, conformal mapping, multivalued functions, etc. Also Fourier and Laplace Transform theory, its applications to engineering, including integrals, linear integrodifferential equations, Z Transform, much more. Many excellent...

©2021 LearnIT (support@pdfchm.net) - Privacy Policy