Integrated Image and Graphics Technologies

ISBN-13: 9781402077746 / Angielski / Twarda / 2004 / 416 str.

David Zhang; Mohamed Kamel; George Baciu

Opis

Image technology is a continually evolving field with various applications such as image processing and analysis, biometrics, pattern recognition, object tracking, remote sensing, medicine diagnoses and multimedia. Significant progress has been made in the level of interest in image morphology, neural networks, full color image processing, image data compression, image recognition, and knowledge -based image analysis systems.
Computer graphics has been mainly driven by engineering design processes and has established itself as a dominating methodology in computer aided design (CAD). Subsequently, computer graphics has found applications in information visualization, computer art, digital entertainment, user interfaces, visual programming, scientific visualization, education and training. Traditionally, the image technology and the computer graphics technology have subsumed slightly different goals. In computer graphics, computers are used to create pictures, animations and simulations. The image technology, on the other hand, consists of techniques and methodologies that modify or interpret existing pictures.
Integrated Image and Graphics Technologies attempts to enhance the access points to both introductory and advanced material in this area, and to facilitate the reader with a comprehensive reference for the study of integrated technologies, systems of image and graphics conveniently and effectively. This edited volume will provide a collection of fifteen contributed chapters by experts, containing tutorial articles and new material describing in a unified way, the basic concepts, theories, characteristic features of the technology and the integration of image and graphics technologies, with recent developments and significant applications.
Integrated Image and Graphics Technologies is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Spis treści

Preface. 1: Introduction; D. Zhang, M. Kamel, G. Baciu. 1.1. Image and Graphics Technologies. 1.2. Integrated Technologies. 1.3. Book Perspective. 2: Transforming 3D Mesh Surfaces into Images by Parameterization; Jingqi Yan, Pengfei Shi,D. Zhang. 2.1. Introduction. 2.2. Chart Parameterization. 2.3. Transforming Meshes Into Images. 2.4. Applications. 2.5. Conclusion. 3: 3D Modeling Based on Attributed Hypergraphs; Li Rong, A.K.C. Wong. 3.1. Introduction. 3.2. Attributed Hypergraph Representation (AHR). 3.3. 3D Object Modeling Using AHR and AH Operators. 3.4. Augmented Reality Using AHR. 3.5. Experiments of Modeling and Augmented Reality. 3.6. Conclusions. 4: Visibility Culling for Interactive Dynamic Scenes; G. Baciu, Ki-Wan Kwok. 4.1. Introduction. 4.2. Overview. 4.3. Ray Parameterization. 4.4. Visibility within a Vertical Directional Plane. 4.5. Visibility Culling on Static Objects. 4.6. Dynamic Scene Occlusion Culling. 4.7. Conclusion. 5: Image-Based Collision Detection; G. Baciu, Wingo Sai-Keung Wong. 5.1. Introduction. 5.2. Simulation Space. 5.3. Object Space vs. Image Space Collision Detection. 5.4. Ray Casting. 5.5. Rendering Passes. 5.6. Interference Region. 5.7. Optimal MOR's. 6: Fourier Processing in the Graphics Pipeline; E. Angel, K. Moreland. 6.1. Introduction. 6.2. Convolution. 6.3. Hardware Implementation. 6.4. The Fourier Transform. 6.5. Vertex and Fragment Programming. 6.6. Using the GPU for the FFT. 6.7. Examples. 6.8. Conclusions. 7: Transformation Image into Graphics; Zonghua Zhang, Xiang Peng, D. Zhang. 7.1. Introduction. 7.2. Overviews. 7.3. An Example System Based on Fringe Projection. 7.4. Experimental Results. 7.5. Conclusion Remarks and Future Work. 8: An Introduction to Image-Based Rendering; Heung Yeung Shum, Yin Li, Sing Bing Kang. 8.1. Introduction. 8.2. Rendering with No Geometry. 8.3. Rendering with Implicit Geometry. 8.4. Rendering with Explicit Geometry. 8.5. Trade-off between Images and Geometry. 8.6. Rendering with Layered Geometry. 8.7. Discussions. 9: Image-Based Relighting: Representation and Compression; Tien-Tsin Wong and Pheng-Ann Heng. 9.1. Introduction. 9.2. Computational Model. 9.3. Sampling. 9.4. Relighting. 9.5. Intra-Pixel Compression. 9.6. Inter-Pixel Compression. 9.7. Inter-Channel Compression. 9.8. Overall Evaluation. 9.9. Conclusions and Future Directions. 10: Construction of Complex Environments from a Set of Depth Images; Enhua Wu, Yanci Zhang, Xuehui Liu. 10.1. Introduction. 10.2. Typical Algorithms. 10.3. Framework of Hybrid Modeling.