Face Detection and Recognition on Mobile Devices

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

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.

1. Introduction2. Object and Scene Recognition3. Face Detection and Recognition4. Human Activity and Gesture Recognition5. 3D Object and Scene Reconstruction6. Sensor Fusion7. Platforms8. Software and SDKs9. Processors10. Intel's Role and Roadmap11. Conclusions