PhD thesis - Institute for Computer Graphics and Vision - Graz ...

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142 Chapter 9. Results (a) WTA, front view (b) WTA, back view (c) SO, front view (d) SO, back view Figure 9.11: Medium resolution mesh for the Charles VI dataset. Figures (a) and (b) show the surface mesh obtained from a winner-takes-all plane-sweep approach to depth map generation. Figures (c) and (d) illustrate the results using scanline optimization.
9.6. Bodhisattva Figure 143 (a) Front view (b) Front view (c) Front view (d) Front view (e) Front view (f) Front view Figure 9.12: High resolution mesh for the Charles VI dataset. Figures (a) and (b) show the surface mesh obtained from a winner-takes-all plane-sweep approach to depth map generation. (c) displays a close-up view of the cloak revealing substantial noise in the mesh. Figures (d)–(f) illustrate the results using scanline optimization. The cloak in Figure (f) is much smoother in this setting.
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Graz University of Technology Insti
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Acknowledgments Writing a PhD thesi
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Contents 1 Introduction 1 1.1 Intro
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CONTENTS ix 6.2.2 Regularization .
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List of Figures 1.1 Several reconst
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LIST OF FIGURES xiii 9.3 Fused 3D m
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Chapter 1 Introduction Contents 1.1
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1.2. Using Graphics Processing Unit
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1.3. 3D Models from Multiple Images
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1.4. Overview of this Thesis and Co
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1.4. Overview of this Thesis and Co
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16 Chapter 2. Related Work given in
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18 Chapter 2. Related Work lacking
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20 Chapter 2. Related Work to semin
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22 Chapter 2. Related Work algorith
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24 Chapter 2. Related Work Typicall
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Chapter 3 Mesh-based Stereo Reconst
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3.2. Overview of Our Method 29 Mesh
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3.2. Overview of Our Method 31 (0,0
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3.3. Implementation 33 3.3 Implemen
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3.3. Implementation 35 to perspecti
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3.4. Performance Enhancements 37 th
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3.5. Results 39 PARAM depth_index =
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3.6. Discussion 41 (a) The key imag
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Chapter 4 GPU-based Depth Map Estim
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4.2. Plane Sweep Depth Estimation 4
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4.3. Sparse Belief Propagation 51 i
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4.3. Sparse Belief Propagation 53 p
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4.5. Timing Results 55 spaced in a
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4.5. Timing Results 57 passes to ca
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4.7. Discussion 59 maps, is still u
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4.7. Discussion 61 (a) Without BP (
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Chapter 5 Space Carving on 3D Graph
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5.2. Volumetric Scene Reconstructio
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5.3. Single Sweep Voxel Coloring in
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5.3. Single Sweep Voxel Coloring in
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5.4. Extensions to Multi Sweep Spac
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5.6. Discussion 73 prior knowledge
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5.6. Discussion 75 (a) (b) (c) (d)
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5.6. Discussion 77 (a) (b) (c) (d)
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Chapter 6 PDE-based Depth Estimatio
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6.2. Variational Techniques for Mul
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6.2. Variational Techniques for Mul
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6.3. GPU-based Implementation 85 6.
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6.3. GPU-based Implementation 87 6.
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6.4. Results 89 Figure 6.2: A recon
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Page 131 and 132: 7.4. Discussion 115 this method uti
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Page 136 and 137: 120 Chapter 8. Volumetric 3D Model
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Page 149 and 150: 9.2. Synthetic Sphere Dataset 133 (
Page 151 and 152: 9.3. Synthetic House Dataset 135 to
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Page 155 and 156: 9.5. Statue of Emperor Charles VI 1
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Page 164 and 165: 148 Chapter 10. Concluding Remarks
Page 167 and 168: Appendix A Selected Publications A.
Page 169 and 170: Bibliography [Akbarzadeh et al., 20
Page 171 and 172: BIBLIOGRAPHY 155 [Curless and Levoy
Page 173 and 174: BIBLIOGRAPHY 157 [Grabner, 2003] Gr
Page 175 and 176: BIBLIOGRAPHY 159 [Klaus et al., 200
Page 177 and 178: BIBLIOGRAPHY 161 [Mairal and Kerive
Page 179 and 180: BIBLIOGRAPHY 163 [Pollefeys et al.,
Page 181 and 182: BIBLIOGRAPHY 165 [Strecha and Van G
Page 183 and 184: BIBLIOGRAPHY 167 [Yang et al., 2006
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PhD thesis - Institute for Computer Graphics and Vision - Graz ...

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