Face detection and recognition on mobile devices / Haowei Liu.

By:

Liu, Haowei [author.]

Contributor(s):

ebrary, Inc

Material type: Text

TextPublisher: Waltham, Massachusetts: Morgan Kaufmann, 2015Description: 45 pages : ill. ; 23 cmContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780124170452

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: Facial detection and recognition on mobile devicesDDC classification:

22 621.3845 L.H.F

LOC classification:

TA1634 .L58 2015eb

Contents:

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

Summary: 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. --

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library B3	Faculty of Engineering & Technology (Electrical)	621.3845 L.H.F (Browse shelf(Opens below))	Available		00012976

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Electronic reproduction. Palo Alto, Calif. : ebrary, 2014. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.

engineering bookfair2016

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. --

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