Computer Vision

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Produk Detail:

  • Author : Simon J. D. Prince
  • Publisher : Cambridge University Press
  • Pages : 580 pages
  • ISBN : 1107011795
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputer Vision

Computer Vision

Computer Vision
  • Author : Simon J. D. Prince
  • Publisher : Cambridge University Press
  • Release : 18 June 2012
GET THIS BOOKComputer Vision

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Computer Vision

Computer Vision
  • Author : Richard Szeliski
  • Publisher : Springer Science & Business Media
  • Release : 30 September 2010
GET THIS BOOKComputer Vision

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic

Machine Vision Algorithms and Applications

Machine Vision Algorithms and Applications
  • Author : Carsten Steger,Markus Ulrich,Christian Wiedemann
  • Publisher : John Wiley & Sons
  • Release : 12 March 2018
GET THIS BOOKMachine Vision Algorithms and Applications

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong

Computer Vision for Assistive Healthcare

Computer Vision for Assistive Healthcare
  • Author : Leo Marco,Giovanni Maria Farinella
  • Publisher : Academic Press
  • Release : 15 May 2018
GET THIS BOOKComputer Vision for Assistive Healthcare

Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs, such as mental functioning, personal mobility, sensory functions, daily living activities, image processing, pattern recognition, machine learning and how language processing and computer graphics cooperate with robotics to provide such tools. Users will learn about the emerging computer vision techniques for supporting mental functioning, algorithms for analyzing human behavior, and how smart interfaces and virtual reality tools lead to the development of

Infrastructure Computer Vision

Infrastructure Computer Vision
  • Author : Ioannis Brilakis,Carl Thomas Michael Haas
  • Publisher : Butterworth-Heinemann
  • Release : 28 November 2019
GET THIS BOOKInfrastructure Computer Vision

Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects. Explains how to best capture raw geometrical and visual data from infrastructure scenes

Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision
  • Author : Valliappa Lakshmanan,Martin Görner,Ryan Gillard
  • Publisher : "O'Reilly Media, Inc."
  • Release : 21 July 2021
GET THIS BOOKPractical Machine Learning for Computer Vision

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how

Computer Vision

Computer Vision
  • Author : Simon J. D. Prince
  • Publisher : Cambridge University Press
  • Release : 18 June 2012
GET THIS BOOKComputer Vision

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics

Computer Vision Systems

Computer Vision Systems
  • Author : Antonios Gasteratos,Markus Vincze,John K. Tsotsos
  • Publisher : Springer
  • Release : 09 May 2008
GET THIS BOOKComputer Vision Systems

In the past few years, with the advances in microelectronics and digital te- nology, cameras became a widespread media. This, along with the enduring increase in computing power boosted the development of computer vision s- tems. The International Conference on Computer Vision Systems (ICVS) covers the advances in this area. This is to say that ICVS is not and should not be yet another computer vision conference. The ?eld of computer vision is fully covered by many well-established and famous

Computer Vision – ECCV 2020

Computer Vision – ECCV 2020
  • Author : Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm
  • Publisher : Springer Nature
  • Release : 15 November 2020
GET THIS BOOKComputer Vision – ECCV 2020

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification;

Computer Vision -- ACCV 2012

Computer Vision -- ACCV 2012
  • Author : Kyoung Mu Lee,Yasuyuki Matsushita,James M. Rehg,Zhanyi Hu
  • Publisher : Springer
  • Release : 27 March 2013
GET THIS BOOKComputer Vision -- ACCV 2012

The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition;

Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision
  • Author : Huimin Ma,Liang Wang,Changshui Zhang,Fei Wu,Tieniu Tan,Yaonan Wang,Jianhuang Lai,Yao Zhao
  • Publisher : Springer Nature
  • Release : 22 October 2021
GET THIS BOOKPattern Recognition and Computer Vision

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and

Computer Vision Systems

Computer Vision Systems
  • Author : Bernt Schiele,Gerhard Sagerer
  • Publisher : Springer
  • Release : 15 May 2003
GET THIS BOOKComputer Vision Systems

Following the highly successful International Conference on Computer Vision - stems held in Las Palmas, Spain (ICVS’99), this second International Workshop on Computer Vision Systems, ICVS 2001 was held as an associated workshop of the International Conference on Computer Vision in Vancouver, Canada. The organization of ICVS’99 and ICVS 2001 was motivated by the fact that the - jority of computer vision conferences focus on component technologies. However, Computer Vision has reached a level of maturity that allows us not only to

Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision
  • Author : Yuxin Peng,Qingshan Liu,Huchuan Lu,Zhenan Sun,Chenglin Liu,Xilin Chen,Hongbin Zha,Jian Yang
  • Publisher : Springer Nature
  • Release : 11 October 2020
GET THIS BOOKPattern Recognition and Computer Vision

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

Computer Vision - ACCV 2012 Workshops

Computer Vision - ACCV 2012 Workshops
  • Author : Jong-Il Park,Junmo Kim
  • Publisher : Springer
  • Release : 27 March 2013
GET THIS BOOKComputer Vision - ACCV 2012 Workshops

The two volume set, consisting of LNCS 7728 and 7729, contains the carefully reviewed and selected papers presented at the nine workshops that were held in conjunction with the 11th Asian Conference on Computer Vision, ACCV 2012, in Daejeon, South Korea, in November 2012. From a total of 310 papers submitted, 78 were selected for presentation. LNCS 7728 contains the papers selected for the International Workshop on Computer Vision with Local Binary Pattern Variants, the Workshop on Computational Photography and Low-Level Vision, the Workshop on Developer-Centered Computer

Computer Vision – ECCV 2020 Workshops

Computer Vision – ECCV 2020 Workshops
  • Author : Adrien Bartoli,Andrea Fusiello
  • Publisher : Springer Nature
  • Release : 29 January 2021
GET THIS BOOKComputer Vision – ECCV 2020 Workshops

The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer