Computer Vision Three Dimensional Data From Images

Computer Vision Analysis of Image Motion (repost)  eBooks & eLearning

Posted by libr at Jan. 9, 2017
Computer Vision Analysis of Image Motion (repost)

Computer Vision Analysis of Image Motion by Variational Methods by Amar Mitiche and J.K. Aggarwal
English | 2013 | ISBN: 3319007106 | 220 pages | PDF | 4,9 MB

Learn Computer Vision and Image Processing in LabVIEW (2016)  eBooks & eLearning

Posted by naag at Sept. 28, 2016
Learn Computer Vision and Image Processing in LabVIEW (2016)

Learn Computer Vision and Image Processing in LabVIEW
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | Lec: 31 | 1.59 GB
Genre: eLearning | Language: English

Learn Computer Vision and Image Processing From Scratch in LabVIEW and build 9 Vision-based Apps

Dense Image Correspondences for Computer Vision  eBooks & eLearning

Posted by roxul at March 16, 2016
Dense Image Correspondences for Computer Vision

Tal Hassner, "Dense Image Correspondences for Computer Vision"
English | ISBN: 3319230476 | 2016 | 308 pages | PDF | 19 MB

Learn Computer Vision and Image Processing in LabVIEW  eBooks & eLearning

Posted by naag at Nov. 23, 2015
Learn Computer Vision and Image Processing in LabVIEW

Learn Computer Vision and Image Processing in LabVIEW
MP4 | Video: 1280x720 | 98 kbps | 44 KHz | Duration: 4 Hours | 866 MB
Genre: eLearning | Language: English

Learn Computer Vision and Image Processing From Scratch in LabVIEW and build 9 Vision-based Apps

OpenCV Computer Vision with Python (Repost)  eBooks & eLearning

Posted by roxul at Aug. 23, 2015
OpenCV Computer Vision with Python (Repost)

Joseph Howse, "OpenCV Computer Vision with Python"
2013 | ISBN: 1782163921 | 122 pages | EPUB | 1 MB

Raspberry Pi Computer Vision Programming  eBooks & eLearning

Posted by AlenMiler at Aug. 3, 2015
Raspberry Pi Computer Vision Programming

Raspberry Pi Computer Vision Programming by Ashwin Pajankar
English | 30 May 2015 | ISBN: 1784398284 | 178 Pages | EPUB/MOBI/PDF (True) | 33.32 MB

This book is intended for novices, as well as seasoned Raspberry Pi and Python enthusiasts, who would like to explore the area of computer vision. Readers with very little programming or coding/scripting experience can create wonderful image processing and computer vision applications with relatively fewer lines of code in Python.

OpenCV Computer Vision with Python (repost)  eBooks & eLearning

Posted by Willson at June 29, 2015
OpenCV Computer Vision with Python (repost)

Joseph Howse, "OpenCV Computer Vision with Python"
English | 2015 | ISBN: 1782163921, 1506080944 | 122 pages | PDF | 1.3 MB
Electron Tomography: Methods for Three-Dimensional Visualization of Structures in the Cell by Joachim Frank [Repost]

Electron Tomography: Methods for Three-Dimensional Visualization of Structures in the Cell by Joachim Frank
Springer; 2nd edition | December 18, 2006 | English | ISBN: 038731234X | 464 pages | PDF | 6 MB

This definitive work provides a comprehensive treatment of the mathematical background and working methods of three-dimensional reconstruction from tilt series. Special emphasis is placed on the problems presented by limitations of data collection in the transmission electron microscope

Computer Vision: A Reference Guide (repost)  eBooks & eLearning

Posted by interes at Sept. 20, 2014
Computer Vision: A Reference Guide (repost)

Computer Vision: A Reference Guide by Katsushi Ikeuchi
English | ISBN: 0387307710, 0387491384 | 2014 | 898 pages | PDF | 37 MB

This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.

OpenCV Computer Vision with Python (repost)  eBooks & eLearning

Posted by arundhati at Aug. 30, 2014
OpenCV Computer Vision with Python (repost)

Joseph Howse, "OpenCV Computer Vision with Python"
2013 | ISBN: 1782163921 | 122 pages | PDF, EPUB | 5 MB