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Computer Vision

OpenCV 4 Computer Vision with Python Recipes  eBooks & eLearning

Posted by naag at Jan. 15, 2019
OpenCV 4 Computer Vision with Python Recipes

OpenCV 4 Computer Vision with Python Recipes
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | 479 MB
Genre: eLearning | Language: English

Explainable and Interpretable Models in Computer Vision and Machine Learning  eBooks & eLearning

Posted by interes at Jan. 13, 2019
Explainable and Interpretable Models in Computer Vision and Machine Learning

Explainable and Interpretable Models in Computer Vision and Machine Learning by Hugo Jair Escalante and Sergio Escalera
English | 2018 | ISBN: 3319981307 | 299 pages | PDF | 9 MB

Computer Vision/Computer Graphics Collaboration Techniques (Repost)  eBooks & eLearning

Posted by step778 at Dec. 28, 2018
Computer Vision/Computer Graphics Collaboration Techniques (Repost)

André Gagalowicz, Wilfried Philips, "Computer Vision/Computer Graphics Collaboration Techniques"
2007 | pages: 632 | ISBN: 3540714561 | PDF | 15,8 mb

OpenCV 3 Computer Vision with Python Cookbook  eBooks & eLearning

Posted by hill0 at Dec. 25, 2018
OpenCV 3 Computer Vision with Python Cookbook

OpenCV 3 Computer Vision with Python Cookbook:
Leverage the power of OpenCV 3 and Python to build computer vision applications
by Alexey Spizhevoy

English | 2018 | ISBN: 1788474449 | 306 Pages | Code Files | 601 MB
Handbook of Biometrics for Forensic Science (Advances in Computer Vision and Pattern Recognition) [Repost]

Handbook of Biometrics for Forensic Science (Advances in Computer Vision and Pattern Recognition) by Massimo Tistarelli
English | 10 Feb. 2017 | ISBN: 9783319506715 | ASIN: 3319506714 | 369 Pages | PDF | 12.66 MB

Python for Computer Vision with OpenCV and Deep Learning  eBooks & eLearning

Posted by IrGens at Dec. 15, 2018
Python for Computer Vision with OpenCV and Deep Learning

Python for Computer Vision with OpenCV and Deep Learning
.MP4, AVC, 1100 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 14h 6m | 5.67 GB
Created by Jose Portilla

Udacity - Computer Vision Nanodegree nd891 v1.0.0 (2018)  eBooks & eLearning

Posted by ParRus at Dec. 12, 2018
Udacity - Computer Vision Nanodegree nd891 v1.0.0 (2018)

Udacity - Computer Vision Nanodegree nd891 v1.0.0 (2018)
WEBRip | English | MP4 | 1280 x 720 | AVC ~65.7 kbps | 30 fps
AAC | 126 Kbps | 44.1 KHz | 2 channels | 13:58:07 | 2.66 GB
Genre: Video Tutorial

Computer Vision is a specialized branch of Artificial Intelligence focused on enabling machines to visually perceive the world, and respond to it. As with human vision, this is a process of taking in visual information, analyzing and processing that information, and correctly identifying objects contained within that information.
Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th International Conference

Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers by Marcello Pelillo, Edwin Hancock
English | 2018 | ISBN: 3319781987 | 596 Pages | PDF | 110.6 MB

This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017.

Pattern Recognition and Computer Vision  eBooks & eLearning

Posted by arundhati at Dec. 9, 2018
Pattern Recognition and Computer Vision

Jian-Huang Lai, Cheng-Lin Liu, "Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV"
2018 | ISBN-10: 3030033406 | 452 pages | PDF, EPUB | 189 MB

Nonlinear Eigenproblems in Image Processing and Computer Vision (Repost)  eBooks & eLearning

Posted by AvaxGenius at Dec. 9, 2018
Nonlinear Eigenproblems in Image Processing and Computer Vision (Repost)

Nonlinear Eigenproblems in Image Processing and Computer Vision By Guy Gilboa
English | PDF,EPUB | 2018 | 186 Pages | ISBN : 3319758462 | 9.68 MB

This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue framework. The text opens with an introduction to the mathematical background, together with a summary of classical variational algorithms for vision. This is followed by a focus on the foundations and applications of the new multi-scale representation based on non-linear eigenproblems. The book then concludes with a discussion of new numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case.