Online resource; title from title page (Safari, viewed December 18, 2014).

Includes bibliographical references.

This hands-on guide gives an overview of computer vision and enables engineers to understand the implications and challenges behind mobile platform design choices. Using face-related algorithms as examples, the author surveys and illustrates how design choices and algorithms can be geared towards developing power-saving and efficient applications on resource constrained mobile platforms. Topics include: algorithms for face detection and recognition; applications of facial technologies on mobile devices; an overview of other computer vision technologies. -- Edited summary from book.

Front Cover; Face Detection and Recognition on Mobile Devices; Copyright Page; Contents; Introduction to Computer Vision on Mobile Devices; What Is Computer Vision?; Introduction to the Field of Computer Vision; What Can Computer Vision Do for Us?; Why Mobile Platform?; What Do We Mean by "Mobile"?; Mobile Devices Markets; Applications or Apps on Mobile Devices; Combining Computer Vision with Mobile Computing; Difference with Conventional Computer Vision Applications; Challenges and Opportunities with "Going Mobile"; Potential Impacts of Mobile for Computer Vision; Summary.

Face Technologies on Mobile DevicesAlgorithms for Face Detection; Overview of Face-Detection Algorithms; Viola-Jones Face-Detection Algorithms; Algorithms for Face Recognition; Overview of Face-Recognition Algorithms; Holistic Face-Recognition Algorithms-Eigenfaces and Fisherfaces; Feature-Based Face-Recognition Algorithms; Hybrid Face Recognition Algorithms; Face Technologies and Application on Mobile Platforms; Face Detection on Mobile Platforms; Face-Detection Applications on Mobile Platforms; Face Recognition and Verification on Mobile Platforms.

Facial Feature Tracking on Mobile PlatformsThe Active Appearance Model; Optimizing the AAM for Mobile Platforms; Applications; Other Applications on Mobile Platforms; Summary; References.