對表面光場做有限制的重新打光｜國立清華大學博碩士論文庫

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研究生：	劉廣志 Kuang-Chih Liu
論文名稱：	對表面光場做有限制的重新打光 Constrained Relighting of Surface Light Fields
指導教授：	張鈞法 Chun-Fa Chang
口試委員:
學位類別：	碩士 Master
系所名稱：	電機資訊學院 - 資訊系統與應用研究所 Institute of Information Systems and Applications
論文出版年：	2005
畢業學年度：	93
語文別：	英文
論文頁數：	58
中文關鍵詞：	image-based 、surface light field 、relighting 、precomputed radiance transfer
相關次數：	點閱：1 下載：0
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With image-based relighting (IBL), one can render realistic relit images of a scene without prior knowledge of illumination environment. In this thesis, we present a framework for rendering from arbitrary viewpoints and relighting under arbitrarily rotated illumination environment of a real object from a set of images and a geometric model of the object under static illumination condition. Instead of using analytical reflectance model or using fixed viewpoint image-based relighting techniques, a clustering method for irregular and incomplete data is proposed to remove statistical redundancies and to extract illumination information from a large set of partial data. Further, we integrate the precomputed radiance transfer (PRT) technique into our framework to relight the scene that dynamically changing and constrained lighting condition. By doing so, we relax the limitation of rendering under the static illumination and make it possible to relight virtual objects realistically in real time.

Table of Contents
Abstract    ii
Acknowledgements    iii
Table of Contents    iv
List of Figures    vi
Chapter 1 Introduction    1
1.1 Thesis Overview    4
Chapter 2 Previous Work    6
2.1 Image-Based Modeling and Rendering    6
2.1.1 Overview of Algorithms    7
2.1.2 Compression    9
2.2 Image-Based Lighting    10
2.3 Reflectance Modeling    12
2.3.1 Inverse Rendering    12
2.4 Precomputed Radiance Transfer    13
Chapter 3 Reflectance    14
3.1 Radiance    14
3.2 Irradiance    15
3.3 BRDF    15
3.4 Rendering Equation    16
3.5 Reflection as Convolution    17
3.5.1 Convolution    17
3.5.2 Interpretation    17
3.6 Summary    20
Chapter 4 Transformation of View Maps    21
4.1 Approach    21
4.2 Surface    22
4.2.1 Representation    22
4.2.2 Process of Light Field Mapping    23
4.3 Transformation    24
4.4 Discussion    27
4.5 Results    28
Chapter 5 Compression of View Maps    30
5.1 Related Work: Vector Quantization    31
5.2 Definition of Incomplete Data    32
5.3 Review of Fuzzy c-Means Clustering    34
5.4 Strategies for Incomplete Data Clustering    36
5.5 Rendering    39
5.6 Error Comparison    41
Chapter 6 Image-Based Relighting    43
6.1 Spherical Harmonic Theory    44
6.1.1 Definition    44
6.1.2 Projection and Reconstruction    45
6.1.3 Basic Properties    46
6.2 Precomputed Radiance Transfer    47
6.3 Real-Time Relighting    49
6.3.1 Specular Image Relighting    49
6.3.2 Diffuse Image Relighting    50
6.4 Rendering Results    51
Chapter 7 Conclusion and Future Work    52
Bibliography    54

List of Figures
Figure 1.1 Overview of our system framework    4
Figure 2.1 A light ray is parameterized by its intersections with two parallel planes.    8
Figure 4.1 The surface light field parameterization    22
Figure 4.2 Transformationof view map.    25
Figure 4.3 Reflected view map pixels are recorded in cube maps    27
Figure 4.4 The re-parameterized view maps    29
Figure 5.1 Calculation of light field maps texture coordinates.    40
Figure 5.2 Error comparison framework    41
Figure 5.3 Clustering error rate    41
Figure 5.4 Rendered images comparison..    42
Figure 6.1 Spherical hramonic basis in 3D    46
Figure 6.2 Diffuse part relighting framework    50
Figure 6.3 Dichromatic reflection model rendering results    51
Figure 6.4 Rotation of environment illumination condition..    51

                                

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