+612 9045 4394
 
CHECKOUT
Image-Based Modeling - Long Quan

Image-Based Modeling

By: Long Quan

Hardcover

Published: 22nd July 2010
Ships: 7 to 10 business days
7 to 10 business days
RRP $332.99
$230.35
31%
OFF
or 4 easy payments of $57.59 with Learn more

Other Available Formats (Hide)

  • Paperback View Product Published: 22nd November 2014
    Ships: 7 to 10 business days
    7 to 10 business days
    $247.75

"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

The computer vision and graphics communities use different techniques for the same purposes. Image-Based Modeling bridges the gap, enabling graphics researcher 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, it gives a more succinct treatment overall, and focuses primarily on vision geometry and 3D object modeling.

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.

Forewordp. vii
Prefacep. ix
Acknowledgementsp. xi
Notationp. xiii
Introductionp. 1
Geometry: fundamentals of multi-view geometry
Geometry prerequisitep. 7
Introductionp. 8
Projective geometryp. 8
The basic conceptsp. 8
Projective spaces and transformationsp. 10
Affine and Euclidean specializationp. 16
Algebraic geometryp. 21
The simple methodsp. 21
Ideals, varieties, and Gröbner basesp. 23
Solving polynomial equations with Gröbner basesp. 24
Multi-view geometryp. 29
Introductionp. 30
The single-view geometryp. 30
What is a camera?p. 30
Where is the camera?p. 35
The DLT calibrationp. 37
The three-point pose algorithmp. 39
The uncalibrated two-view geometryp. 42
The fundamental matrixp. 43
The seven-point algorithmp. 45
The eight-point linear algorithmp. 46
The calibrated two-view geometryp. 47
The essential matrixp. 47
The five-point algorithmp. 49
The three-view geometryp. 53
The trifocal tensorp. 54
The six-point algorithmp. 58
The calibrated three viewsp. 63
The N-view geometryp. 66
The multi-linearitiesp. 66
Auto-calibrationp. 68
Discussionsp. 72
Bibliographic notesp. 72
Computation: from pixels to 3D points
Feature pointp. 77
Introductionp. 78
Points of interestp. 78
Tracking featuresp. 78
Matching cornersp. 80
Discussionsp. 81
Scale invariancep. 82
Invariance and stabilityp. 82
Scale, blob and Laplacianp. 82
Recognizing SIFTp. 83
Bibliographic notesp. 84
Structure from Motionp. 85
Introductionp. 86
Least squares and bundle adjustmentp. 86
Robust statistics and RANSACp. 88
The standard sparse approachp. 90
A sequence of imagesp. 92
A collection of imagesp. 93
The match propagationp. 94
The best-first match propagationp. 94
The properties of match propagationp. 97
Discussionsp. 101
The quasi-dense approachp. 103
The quasi-dense resamplingp. 103
The quasi-dense SFMp. 104
Results and discussionsp. 111
Bibliographic notesp. 117
Modeling: from 3D points to objects
Surface modelingp. 121
Introductionp. 122
Minimal surface functionalsp. 123
A unified functionalp. 124
Level-set methodp. 124
A bounded regularization methodp. 125
Implementationp. 127
Results and discussionsp. 129
Bibliographic notesp. 136
Hair modelingp. 137
Introductionp. 138
Hair volume determinationp. 139
Hair fiber recoveryp. 140
Visibility determinationp. 140
Orientation consistencyp. 141
Orientation triangulationp. 141
Implementationp. 142
Results and discussionsp. 144
Bibliographic notesp. 148
Tree modelingp. 149
Introductionp. 150
Branche recoveryp. 153
Reconstruction of visible branchesp. 153
Synthesis of occluded branchesp. 155
Interactive editingp. 157
Leaf extraction and reconstructionp. 159
Leaf texture segmentationp. 159
Graph-based leaf extractionp. 162
Model-based leaf reconstructionp. 165
Results and discussionsp. 167
Bibliographic notesp. 174
Façade modelingp. 177
Introductionp. 178
Façade initializationp. 180
Initial flat rectanglep. 181
Texture compositionp. 181
Interactive refinementp. 183
Façade decompositionp. 184
Hidden structure discoveryp. 184
Recursive subdivisionp. 185
Repetitive pattern representationp. 186
Interactive subdivision refinementp. 187
Façade augmentationp. 188
Depth optimizationp. 188
Cost definitionp. 190
Interactive depth assignmentp. 190
Façade completionp. 192
Results and discussionsp. 192
Bibliographic notesp. 197
Building modelingp. 199
Introductionp. 200
Pre-processingp. 201
Building segmentationp. 203
Supervised class recognitionp. 203
Multi-view semantic segmentationp. 205
Building partitionp. 207
Global vertical alignmentp. 208
Block separatorp. 208
Local horizontal alignmentp. 209
Façade modelingp. 210
Inverse orthographic compositionp. 211
Structure analysis and regularizationp. 213
Repetitive pattern rediscoveryp. 216
Boundary regularizationp. 217
Post-processingp. 218
Results and discussionsp. 219
Bibliographic notesp. 224
List of algorithmsp. 227
List of figuresp. 229
Referencesp. 237
Indexp. 249
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9781441966780
ISBN-10: 1441966781
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 251
Published: 22nd July 2010
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 23.5 x 15.5  x 1.91
Weight (kg): 0.69