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Digital Representations of the Real World
Create Genuine Visual Realism in Computer Graphics Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality explains how to portray visual worlds with a high degree of realism using the latest video acquisition technology, computer graphics methods, and computer vision algorithms. It explores the integration of ne
Video-Based Rendering
Driven by consumer-market applications that enjoy steadily increasing economic importance, graphics hardware and rendering algorithms are a central focus of computer graphics research. Video-based rendering is an approach that aims to overcome the current bottleneck in the time-consuming modeling process and has applications in areas such as comput
Real VR – Immersive Digital Reality
With the advent of consumer-market Virtual Reality (VR) technology, the next revolution in visual entertainment is already on the horizon: real VR will enable us to experience live-action movies, sports broadcasts, concert videos, etc. in true visual (and aural) immersion. This book provides a comprehensive overview of the algorithms and methods that make it possible to immerse into real-world recordings. It brings together the expertise of internationally renowned experts from academia and industry who present the state of the art in this fascinating, interdisciplinary new research field. Written by and for scientists, engineers, and practitioners, this book is the definitive reference for anyone interested in finding out about how to import the real world into head-mounted displays.
Video Processing and Computational Video
With the swift development of video imaging technology and the drastic improvements in CPU speed and memory, both video processing and computational video are becoming more and more popular. Similar to the digital revolution in photography of fifteen years ago, today digital methods are revolutionizing the way television and movies are being made. With the advent of professional digital movie cameras, digital projector technology for movie theaters, and 3D movies, the movie and television production pipeline is turning all-digital, opening up numerous new opportunities for the way dynamic scenes are acquired, video footage can be edited, and visual media may be experienced. This state-of-the...
Measuring, Modeling and Simulating the Re-adaptation Process of the Human Visual System after Short-Time Glares in Traffic Scenarios
Benjamin Meyer performs several psycho-physical experiments to measure the re-adaptation process of glared drivers in traffic scenarios. The author then develops a novel tone mapping algorithm to simulate the recurring contrast perception of the human eye by adjusting the displayed contrast. Depending on background illumination, bright light sources cause considerable perception restrictions for a glared viewer and can deter the driver from perceiving critical objects for several seconds and severely increase the risk of accidents. Based on the results of the conducted user studies, this vision impairment is integrated into a night driving simulator. The modified driving simulation provides a more realistic visualization and enables the analysis of critical traffic scenarios including short-time headlight glares. This leads to better transferability of driving simulator results and enables investigating driving behavior in the presence of glare.
ElectroEncephaloGraphics: A Novel Modality For Graphics Research
My work uses EEG data to determine the perceptual quality of videos and images which is of paramount importance for most graphics algorithms. This is especially important given the gap between perceived quality of an image and physical accuracy. This thesis begins by introducing the fundamentals of EEG measurements and its neurophysiological basis. Following this introduction, I present a novel method for determining perceived image and video quality from a single trial of EEG data in response to typical rendering artifacts. I also explore the use of EEG for direct neural feedback and present a neural-feedback loop for the optimization of rendering parameters for images and videos. I conclude with an outlook on what the future of EEG in graphics may hold.
Vision, Modeling, and Visualization 2004
These proceedings include the contributions to the 9th International Workshop on Vision, Modeling and Visualization held in November, 2004 in Stanford, USA. The contributions cover the areas: .Calibration, Registration, Tracking .Image and Video-based Modeling and Rendering .Simulation and Rendering .Geometry Processing .Volume Data Processing and Scientific Visualization The workshop has been organized jointly by members of the Computer Graphics Group at the Max-Planck-Institute in Saarbrücken and by members of Stanford University. VMV 2004 marks the launch of the Max Planck Center for Visual Computing and Communication between Stanford and the German Max Planck Society this year, which opens a new chapter of transatlantic research collaboration in this area. Additionally, VMV 2004 has generously been supported by the Graduate Research Center - 3D Image Analysis and Synthesis, Signal Processing Society IEEE, Sonderforschungsbereich 603, German Informatics Society GI and the Eurographics - European Association for Computer Graphics.
Video-Based Rendering
Driven by consumer-market applications that enjoy steadily increasing economic importance, graphics hardware and rendering algorithms are a central focus of computer graphics research. Video-based rendering is an approach that aims to overcome the current bottleneck in the time-consuming modeling process and has applications in areas such as computer games, special effects, and interactive TV. This book offers an in-depth introduction to video-based rendering, a rapidly developing new interdisciplinary topic employing techniques from computer graphics, computer vision, and telecommunication engineering. Providing an overview of the state-of-the-art of video-based rendering and details of the fundamental VBR algorithms, the author discusses the advantages, the potential, as well as the limitations of the approach in the context of different application scenarios.
