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001 978-3-319-09387-1
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020 _a9783319093871
_9978-3-319-09387-1
024 7 _a10.1007/978-3-319-09387-1
_2doi
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
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072 7 _aUYQV
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082 0 4 _a006.6
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082 0 4 _a006.37
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245 1 0 _aAdvances in Embedded Computer Vision
_h[electronic resource] /
_cedited by Branislav Kisačanin, Margrit Gelautz.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVI, 287 p. 147 illus., 116 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aPart I: Success Stories -- The Optical Mouse -- Consumer Robotics -- Embedded Vision in Advanced Driver Assistance Systems -- Part II: State of the Art -- Computer Vision for Micro Air Vehicles -- Stereo Vision Algorithms Suited to Constrained FPGA Cameras -- Plane Sweeping in Eye-gaze Corrected, Tele-immersive 3D Video Conferencing -- Challenges in Embedded Vision for Augmented Reality -- Tic-Tac-Tandroid -- Vehicle Detection Onboard Small Unmanned Aircraft -- Vision-based Lane Analysis -- Part III: Future Challenges -- Distributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things -- Data-driven Stream Mining Systems for Computer Vision -- Designing Vision Systems that See Better.
520 _aThis 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. The authoritative insights range from historical perspectives to future developments, reviewing embedded implementation, tools, technologies, systems, algorithms, and markets. Topics and features: Presents a series of self-contained articles from an international selection of leading experts in the field 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 This timely volume is essential reading for researchers from academia and industry, practitioners, and innovation managers interested in embedded computer vision. Students of computer vision will also find this to be an inspiring source of information on the field. Dr. Branislav Kisačanin is the CTO of Embedded Computer Vision at Interphase Corp., Plano, TX, USA. Dr. Margrit Gelautz is an associate professor at Vienna University of Technology, Austria, where she directs the research group on Image and Video Analysis & Synthesis.
650 0 _aComputer science.
650 0 _aImage processing.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
700 1 _aKisačanin, Branislav.
_eeditor.
700 1 _aGelautz, Margrit.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319093864
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-09387-1
912 _aZDB-2-SCS
942 _cEBK
999 _c53934
_d53934