Advances in Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition) by Margrit Gelautz, PDF 331909386X

Advances in Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition)

  • Title: Advances in Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition)
  • Autor: Margrit Gelautz
  • Publisher (Publication Date): Springer; 2014 edition (November 27, 2014)
  • Language: English
  • ISBN-10: | 331909386X
  • ISBN-13: | 978-3319093864
  • File Format: EPUB, PDF

 

This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories – the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.

No reviews

Comments:


Related posts

Engineering Secure Internet of Things Systems (Security) by Bruno Crispo, PDF 1785610538
Two Minds: Intuition and Analysis in the History of Economic Thought by Roger Frantz, PDF 0387232567
Data Mining for Service (Studies in Big Data) by Katsutoshi Yada, PDF 3662507439
iPhone X Uncensored: Facts, Tips & Secret Features: A Complete User Manual for iPhone X, iPhone 8/ 8 Plus: iPhone X User Manual: iPhone X Book by Dr. Geek, PDF
JAVA PROGRAMMING FOR BEGINNERS by NEOS THANH, PDF 1549979353
Nurses’ Perceptions of Electronic Charting: A Qualitative Descriptive Case Study by Carol Enuenwosu-Aki, PDF 3659839035

Leave a Reply

Your email address will not be published. Required fields are marked *