Face Detection and Recognition on Mobile Devices

Erscheinungsjahr 2014
ISBN: 978-0-12-417045-2
Verlag: Elsevier Science & Technology

Buch, Englisch, 44 Seiten, Format (B × H): 151 mm x 228 mm, Gewicht: 87 g

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.



- Presents algorithms for face detection and recognition
- Explains applications of facial technologies on mobile devices
- Includes an overview of other computer vision technologies

Zielgruppe

<p>Researchers and software engineers in computer vision looking to understand the needs of mobile devices.</p>

Autoren/Hrsg.

Liu, Haowei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

1. Introduction 2. Object and Scene Recognition 3. Face Detection and Recognition 4. Human Activity and Gesture Recognition 5. 3D Object and Scene Reconstruction 6. Sensor Fusion 7. Platforms 8. Software and SDKs 9. Processors 10. Intel's Role and Roadmap 11. Conclusions

Über Autor(innen)

Liu, Haowei
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.