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This book traces progress in photography since the first pinhole, or camera obscura, architecture. The authors describe innovations such as photogrammetry, and omnidirectional vision for robotic navigation. The text shows how new camera architectures create a need to master related projective geometries for calibration, binocular stereo, static or dynamic scene understanding. Written by leading researchers in the field, this book also explores applications of alternative camera architectures.
What is Pinhole Camera Model The pinhole camera model is a mathematical representation of the relationship between the coordinates of a point in three-dimensional space and its projection onto the picture plane of an ideal pinhole camera. In this model, the camera aperture is portrayed as a point, and there are no lenses employed to concentrate light. By way of illustration, the model does not take into account geometric distortions or the blurring of unfocused objects that can be brought about by lenses and apertures of a finite size. The fact that the majority of practical cameras only have discrete picture coordinates is another thing that is not taken into consideration. Because of this, the pinhole camera model can only be utilized as a first-order approximation of the mapping from a three-dimensional scene to a two-dimensional graphical representation. Its validity is contingent on the quality of the camera, and in general, it diminishes from the center of the image to the edges as the effects of lens distortion rise. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Pinhole camera model Chapter 2: Cartesian coordinate system Chapter 3: Spherical coordinate system Chapter 4: Isometric projection Chapter 5: Matrix representation of conic sections Chapter 6: Fourier optics Chapter 7: 3D projection Chapter 8: Transformation matrix Chapter 9: Graphics pipeline Chapter 10: Three-dimensional space (II) Answering the public top questions about pinhole camera model. (III) Real world examples for the usage of pinhole camera model in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Pinhole Camera Model.
Using a rich variety of imaginative approaches, this book illustrates camera construction techniques that range from the simplest adaptation of a tin can to precision engineering with state-of-the-art lenses.
Videomapping with its use of digital images is an audiovisual format that has gained traction with the creative industries. It consists of projecting images onto diverse surfaces, according to their geometric characteristics. It is also synonymous with spatial augmented reality, projection mapping and spatial correspondence. Image Beyond the Screen lays the foundations for a field of interdisciplinary study, encompassing the audiovisual, humanities, and digital creation and technologies. It brings together contributions from researchers, and testimonials from some of the creators, technicians and organizers who now make up the many-faceted community of videomapping. Live entertainment, museum, urban or event planning, cultural heritage, marketing, industry and the medical field are just a few examples of the applications of this media.
With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next "killer app." The growing interest in this technology has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the latest in both theoretical and practical aspects of direct relevance to academia and industry, providing a base of understanding for future progress. Features downloadable tools to supplement material found in the book Recent advances in camera sensor technology have led to an increasingly larger number of pixels being crammed into ever-smaller spaces. This has resulted in an overall decline in the visual quality of recorded content, necessitating improvement of images through the use of post-processing. Providing a snapshot of the cutting edge in super-resolution imaging, this book focuses on methods and techniques to improve images and video beyond the capabilities of the sensors that acquired them. It covers: History and future directions of super-resolution imaging Locally adaptive processing methods versus globally optimal methods Modern techniques for motion estimation How to integrate robustness Bayesian statistical approaches Learning-based methods Applications in remote sensing and medicine Practical implementations and commercial products based on super-resolution The book concludes by concentrating on multidisciplinary applications of super-resolution for a variety of fields. It covers a wide range of super-resolution imaging implementation techniques, including variational, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. This versatile book can be used as the basis for short courses for engineers and scientists, or as part of graduate-level courses in image processing.
"Optik and Image" illustrates the correlation between light and image. Based on some simple hands-on experiments, I wrote this book to depict the concept of microscopy from a layman's perspective. It is a book about how an image is formed in pinhole camera vs super-resolution microscope. It addresses questions like- Is light a wave or a particle? How small can we see with the help of light? What are the properties of light that help us to see as well as that hinder us from seeing beyond a limit? This book is all about how the basic properties of light help us to see beyond the limit of the human eye and what is the limitation beyond that.
Vision applications have been using cameras which are beyond pinhole: stereo, fisheye cameras, catadioptric systems, multi-camera setups etc. These novel cameras have interesting properties, especially a large field of view. Camera calibration and 3D reconstruction algorithms are fundamental blocks for computer vision. Models and algorithms for these two problems are usually parametric, camera dependent and seldom capable of handling heterogeneous camera networks, that are useful for complementary advantages. To solve these problems a generic imaging model is introduced, where every camera is modeled as a set of pixels and their associated projection rays. We propose generic methods for calibrating this model, Le. for computing ail these projection rays. These are thus able to calibrate whaetever camera using the same approach. We also propose generic algorithms for structure-from-motion (3D reconstruction, motion and pose estimation, bundle adjustment) and self-calibration.