Face Detection and Recognition on Mobile Devices
Face Detection and Recognition on Mobile Devices by Liu, Haowei is a hands-on guide published by Elsevier S & T in 2014. This 44-page book, written in English, provides an overview of computer vision, focusing on the implications and challenges associated with mobile platform design choices. The author uses face-related algorithms to illustrate how these design choices can lead to the development of power-saving and efficient applications tailored for resource-constrained mobile devices.
Readers will find a comprehensive examination of algorithms for face detection and recognition, along with insights into the applications of facial technologies on mobile platforms. The book also includes an overview of other relevant computer vision technologies, making it a valuable resource for professionals in the fields of computer science and artificial intelligence. This edition serves as a practical reference for engineers looking to enhance their understanding of image processing and pattern recognition in mobile environments.
Official synopsis Publisher
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
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