Principles of 3D Image Analysis and Synthesis (The Springer International Series in Engineering and Computer Science Book 556)

Traditionally, say 15 years ago, three-dimensional image analysis (aka computer vi­ sion) and three-dimensional image synthesis (aka computer graphics) were separate fields. Rarely were expert

traditionally, Three-dimensional Image Analysis (a.k.a. Computer Vision) And Three-dimensional Image Synthesis (a.k.a. Computer Graphics) Were Separate Fields. Rarely Were Experts Working In One Area Interested In And Aware Of The Advances In The Other. Over The Last Decade This Has Changed Dramatically, Reflecting The Growing Maturity Of Each Of These Areas. The Vision And Graphics Communities Are Today Engaged In A Mutually Beneficial Exchange, Learning From Each Other And Coming Up With New Ideas And Techniques That Build On The State Of The Art In Both Fields. This Book Is The Result Of A Fruitful Collaboration Between Scientists At The University Of Nürnberg, Germany, Who, Coming From Diverse Fields, Are Working Together Propelled By The Vision Of A Unified Area Of Three-dimensional Image Analysis And Synthesis.
Principles Of 3d Image Analysis And Synthesis Starts Out At The Image Acquisition End Of A Hypothetical Processing Chain, Proceeds With Analysis, Recognition And Interpretation Of Images, Towards The Representation Of Scenes By 3d Geometry, Then Back To Images Via Rendering And Visualization Techniques. Coverage Includes Discussion Of Range Cameras, Multiview Image Processing, The Structure-from-motion Problem, Object Recognition, Knowledge-based Image Analysis, Active Vision, Geometric Modeling With Meshes And Splines, And Reverse Engineering. Also Included Is Cutting-edge Coverage Of Texturing Techniques, Global Illumination, Image-based Rendering, Volume Visualization, Flow Visualization Techniques, And Acoustical Imaging Including Object Localization From Audio And Video.
This State-of-the-art Volume Is A Concise And Readable Reference For Scientists, Engineers, Graduate Students And Educators Working In Image Processing, Vision, Computer Graphics, Or Visualization.

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reports On The State Of The Art In Combining Computer Vision And Computer Graphics. First Discusses Image Acquisition, Then Proceeds To Analysis, Recognition, And Interpretation Of Images, Representation Of Scenes By 3d Geometry, And Rendering And Visualization Techniques. Coverage Includes Range Cameras, Multiview Image Processing, Object Recognition, Knowledge-based Image Analysis, And Geometric Modeling With Meshes And Splines. Also Covered Are Texturing Techniques, Global Illumination, Image-based Rendering, And Flow Visualization Techniques. Girod Works At The Information Systems Laboratory At Stanford University. Annotation C. Book News, Inc., Portland, Or (booknews.com)

Traditionally, three-dimensional image analysis (a.k.a. computer vision) and three-dimensional image synthesis (a.k.a. computer graphics) were separate fields. Rarely were experts working in one area interested in and aware of the advances in the other. Over the last decade this has changed dramatically, reflecting the growing maturity of each of these areas. The vision and graphics communities are today engaged in a mutually beneficial exchange, learning from each other and coming up with new ideas and techniques that build on the state of the art in both fields. This book is the result of a fruitful collaboration between scientists at the University of Nürnberg, Germany, who, coming from diverse fields, are working together propelled by the vision of a unified area of three-dimensional image analysis and synthesis.
Principles of 3D Image Analysis and Synthesis starts out at the image acquisition end of a hypothetical processing chain, proceeds with analysis, recognition and interpretation of images, towards the representation of scenes by 3D geometry, then back to images via rendering and visualization techniques. Coverage includes discussion of range cameras, multiview image processing, the structure-from-motion problem, object recognition, knowledge-based image analysis, active vision, geometric modeling with meshes and splines, and reverse engineering. Also included is cutting-edge coverage of texturing techniques, global illumination, image-based rendering, volume visualization, flow visualization techniques, and acoustical imaging including object localization from audio and video.
This state-of-the-art volume is a concise and readable reference for scientists, engineers, graduate students and educators working in image processing, vision, computer graphics, or visualization.

Front Matter....Pages i-xiii Optical 3D Sensors....Pages 1-23 Multiple Views and Image Sequences....Pages 25-77 Recognition and Interpretation....Pages 79-140 Representation and Processing of Surface Data....Pages 141-202 Realistic Rendering....Pages 203-241 Volume Visualization....Pages 243-278 Acoustic Imaging, Rendering, and Localization....Pages 279-334 Selected Applications....Pages 335-398 Back Matter....Pages 399-466 Optical 3D sensors usually work with light sources, lenses, photodiodes and video cameras.