Photogrammetric Computer Vision: Statistics, Geometry, Orientation and Reconstruction: 11 (Geometry and Computing, 11) - Image 1

£48.29

Springer Photogrammetric Computer Vision: Statistics, Geometry, Orientation and Reconstruction: 11 (Geometry and Computing, 11)

Name: Photogrammetric Computer Vision: Statistics, Geometry, Orientation and Reconstruction: 11 (Geometry and Computing, 11)
Brand: Springer
Price: 48.29 GBP
Availability: InStock

Computer Science

This is the most expensive it has ever been. Walk away.

£48 today · previous high £48 · all-time low £48

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 72 days · 72 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 72 days • 1 price levels

Days at Price

Price Analysis

Most common price: £48 (72 days, 100.0%)

Price range: £48 - £48

Price levels: 1 different prices over 72 days

Description

This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision. Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319791702
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 14 June 2018
Listed Since: 17 August 2018

Barcode

No barcode data available

Springer Photogrammetric Computer Vision: Statistics, Geometry, Orientation and Reconstruction: 11 (Geometry and Computing, 11)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Digital Photogrammetry: A Practical Course

Epipolar Geometry in Stereo, Motion and Object Recognition: A Unified Approach: 6 (Computational Imaging and Vision, 6)

3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods

Computer Vision: Three-dimensional Reconstruction Techniques

3D Imaging, Analysis and Applications

Computer Vision: From Surfaces to 3D Objects

Theory and Applications of Image Registration

Applications of 3D Measurement from Images

UAV Photogrammetry and Remote Sensing

Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing

3D Shape Analysis: Fundamentals, Theory, and Applications

Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality

Photogrammetry and Remote Sensing

Computational Modelling of Objects Represented in Images III: Fundamentals, Methods and Applications

Object Detection by Stereo Vision Images

An Introduction to 3D Computer Vision Techniques and Algorithms

Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality

Topics in Medical Image Processing and Computational Vision: 8 (Lecture Notes in Computational Vision and Biomechanics, 8)

2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications