Face Detection and Recognition on Mobile Devices

Face Detection and Recognition on Mobile Devices

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Description

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.
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Product details

  • Paperback | 44 pages
  • 152.4 x 231.14 x 5.08mm | 90.72g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • colour illustrations
  • 0124170455
  • 9780124170452
  • 2,132,239

Table of contents

Introduction
Object and Scene Recognition
Face Detection and Recognition
Human Activity and Gesture Recognition
3D Object and Scene Reconstruction
Sensor Fusion
Platforms
Software and SDKs
Processors
Intel's Role and Roadmap
Conclusions
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Review Text

"This book is intended to address the special needs and possibilities of face detection and recognition on a mobile platform." -- Computing Reviews
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Review quote

"This book is intended to address the special needs and possibilities of face detection and recognition on a mobile platform." --Computing Reviews
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About Haowei Liu

Haowei Liu is a software engineer in the Perceptual Computing Group at Intel. Previously he was with the exploratory computer vision group at IBM's TJ Watson Center, where he built computer vision algorithms into products (the IBM S3 system). He has published papers in conferences, journals, book volumes, and tech reports, has been a presenter and session chair/committee member for various conferences, and has served as an associate editor for journals in the computer vision field.
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