Image-Based Modeling

By: Long Quan

Write A Review

Hardcover | 22 July 2010

At a Glance

Hardcover
272 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

Hardcover

$169.00

or 4 interest-free payments of $42.25 with

Ships in 5 to 7 business days

"This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling." --Professor Takeo Kanade, Carnegie Mellon University About this book: The computer vision and graphics communities use different terminologies for the same ideas. This books provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa Independence of chapters allows readers to directly jump into a specific chapter of interest Compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry. About the Author Long Quan is a Professor of the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He received a Ph.D. degree in Computer Science from INRIA, and has been a CNRS researcher at INRIA. Professor Quan is a Fellow of the IEEE Computer Society.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Engineering & Technology Other Technologies & Applied Sciences Applied Optics Imaging Systems & Technology Computing & I.T.Computer Science Image Processing Graphical & Digital Media Applications Digital Animation Artificial Intelligence Pattern Recognition

Digital Signal Processing (DSP)Computer Vision Computer Programming & Software Development Graphics Programming Electronics & Communications Engineering Electronics Engineering

Other Editions and Formats

Paperback

Published: 22nd November 2014

View Product

Foreword	p. vii
Preface	p. ix
Acknowledgements	p. xi
Notation	p. xiii
Introduction	p. 1
Geometry: fundamentals of multi-view geometry
Geometry prerequisite	p. 7
Introduction	p. 8
Projective geometry	p. 8
The basic concepts	p. 8
Projective spaces and transformations	p. 10
Affine and Euclidean specialization	p. 16
Algebraic geometry	p. 21
The simple methods	p. 21
Ideals, varieties, and Gröbner bases	p. 23
Solving polynomial equations with Gröbner bases	p. 24
Multi-view geometry	p. 29
Introduction	p. 30
The single-view geometry	p. 30
What is a camera?	p. 30
Where is the camera?	p. 35
The DLT calibration	p. 37
The three-point pose algorithm	p. 39
The uncalibrated two-view geometry	p. 42
The fundamental matrix	p. 43
The seven-point algorithm	p. 45
The eight-point linear algorithm	p. 46
The calibrated two-view geometry	p. 47
The essential matrix	p. 47
The five-point algorithm	p. 49
The three-view geometry	p. 53
The trifocal tensor	p. 54
The six-point algorithm	p. 58
The calibrated three views	p. 63
The N-view geometry	p. 66
The multi-linearities	p. 66
Auto-calibration	p. 68
Discussions	p. 72
Bibliographic notes	p. 72
Computation: from pixels to 3D points
Feature point	p. 77
Introduction	p. 78
Points of interest	p. 78
Tracking features	p. 78
Matching corners	p. 80
Discussions	p. 81
Scale invariance	p. 82
Invariance and stability	p. 82
Scale, blob and Laplacian	p. 82
Recognizing SIFT	p. 83
Bibliographic notes	p. 84
Structure from Motion	p. 85
Introduction	p. 86
Least squares and bundle adjustment	p. 86
Robust statistics and RANSAC	p. 88
The standard sparse approach	p. 90
A sequence of images	p. 92
A collection of images	p. 93
The match propagation	p. 94
The best-first match propagation	p. 94
The properties of match propagation	p. 97
Discussions	p. 101
The quasi-dense approach	p. 103
The quasi-dense resampling	p. 103
The quasi-dense SFM	p. 104
Results and discussions	p. 111
Bibliographic notes	p. 117
Modeling: from 3D points to objects
Surface modeling	p. 121
Introduction	p. 122
Minimal surface functionals	p. 123
A unified functional	p. 124
Level-set method	p. 124
A bounded regularization method	p. 125
Implementation	p. 127
Results and discussions	p. 129
Bibliographic notes	p. 136
Hair modeling	p. 137
Introduction	p. 138
Hair volume determination	p. 139
Hair fiber recovery	p. 140
Visibility determination	p. 140
Orientation consistency	p. 141
Orientation triangulation	p. 141
Implementation	p. 142
Results and discussions	p. 144
Bibliographic notes	p. 148
Tree modeling	p. 149
Introduction	p. 150
Branche recovery	p. 153
Reconstruction of visible branches	p. 153
Synthesis of occluded branches	p. 155
Interactive editing	p. 157
Leaf extraction and reconstruction	p. 159
Leaf texture segmentation	p. 159
Graph-based leaf extraction	p. 162
Model-based leaf reconstruction	p. 165
Results and discussions	p. 167
Bibliographic notes	p. 174
Façade modeling	p. 177
Introduction	p. 178
Façade initialization	p. 180
Initial flat rectangle	p. 181
Texture composition	p. 181
Interactive refinement	p. 183
Façade decomposition	p. 184
Hidden structure discovery	p. 184
Recursive subdivision	p. 185
Repetitive pattern representation	p. 186
Interactive subdivision refinement	p. 187
Façade augmentation	p. 188
Depth optimization	p. 188
Cost definition	p. 190
Interactive depth assignment	p. 190
Façade completion	p. 192
Results and discussions	p. 192
Bibliographic notes	p. 197
Building modeling	p. 199
Introduction	p. 200
Pre-processing	p. 201
Building segmentation	p. 203
Supervised class recognition	p. 203
Multi-view semantic segmentation	p. 205
Building partition	p. 207
Global vertical alignment	p. 208
Block separator	p. 208
Local horizontal alignment	p. 209
Façade modeling	p. 210
Inverse orthographic composition	p. 211
Structure analysis and regularization	p. 213
Repetitive pattern rediscovery	p. 216
Boundary regularization	p. 217
Post-processing	p. 218
Results and discussions	p. 219
Bibliographic notes	p. 224
List of algorithms	p. 227
List of figures	p. 229
References	p. 237
Index	p. 249
Table of Contents provided by Ingram. All Rights Reserved.

Image-Based Modeling

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

More in Computer Vision

Machine Learning and Deep Learning in Neuroimaging Data Analysis

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Data Science on AWS

Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

Mathematics for Machine Learning

AI

Unexplainable, Unpredictable, Uncontrollable

Applied Machine Learning and AI for Engineers

Solve Business Problems That Can't Be Solved Algorithmically

AI Systems Performance Engineering

Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch

Generative AI on Aws

Building Context-Aware Multimodal Reasoning Applications

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e

Concepts, Tools, and Techniques to Build Intelligent Systems

Applied Machine Learning on Sensing Technologies

Ubiquitous Computing, Healthcare and Well-being

Visual Sensing and Ubiquitous Computing

Ubiquitous Computing, Healthcare and Well-being

Perceptive Machines

The Future of Feeling AI and What It Means for Humanity

Perceptive Machines

The Future of Feeling AI and What It Means for Humanity

Computer Vision & Laser Vibrometry, Vol. 6

Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025

Science Ltd.

Research Enterprise in the Age of Machines

Mathematics for Artificial Intelligence

Textbooks in Mathematics

Artificial Intelligence in Smart Cities

Enhancing Urban Life

Becoming Homo lucidus

Becoming Homo lucidus

Foundations of Artificial Intelligence in Finance

Insights for Practitioners with Applications and Case Studies

Foundations of Artificial Intelligence in Finance

Insights for Practitioners with Applications and Case Studies

Smarter than You

Winning in Business with Superintelligent AI

Reinforcement Learning Explained

A Practical Problem-Solving Approach

This product is categorised by