Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field. Paper Topics Include: - Intensity Reflection Models - Polarization and Refraction - Camera Calibration - Quantization and Sampling - Depth from Opt
Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field. Paper Topics Include: - Color Image Formation - Color Reflection Models - Color Image Segmentation - Color Constancy - Color Highlight Analysis - C
Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field. Paper Topics Include: - Shape from Shading - Photometric Stereo - Shape Recovery from Specular Reflection - Shape Recovery from Interreflection - S
Physics-Based Deformable Models presents a systematic physics-based framework for modeling rigid, articulated, and deformable objects, their interactions with the physical world, and the estimate of their shape and motion from visual data. This book presents a large variety of methods and associated experiments in computer vision, graphics and medical imaging that help the reader better to understand the presented material. In addition, special emphasis has been given to the development of techniques with interactive or close to real-time performance. Physics-Based Deformable Models is suitable as a secondary text for graduate level courses in Computer Graphics, Computational Physics, Computer Vision, Medical Imaging, and Biomedical Engineering. In addition, this book is appropriate as a reference for researchers and practitioners in the above-mentioned fields.
The present book is based on the experience of the author. The experience is mainly the result of years of research, of consulting work, and in participation in policy decision making in many felds, most, but not all, related to outdoor lighting. To some degree, the book represents the preference of the author. The selection of the subjects is based on more than 50 years of experience of what is desirable to know for persons engaged in scientifc research or practical application in the felds of lighting and vision. The subjects deal with a number of fundamental aspects. The theorists must have them at their fngertips, whereas the practical engineers may assume them as known in their daily work. The selection of subjects is based in part by the questions that came to the author over the years, but even more by the preference of the author himself. In this respect, it is a personal book. Thus, it should be stressed that the book is not a ‘handbook’ or even a ‘textbook’; many subjects that commonly are treated in such books are not included here. Not because they lack importance, but because the author feels that they are adequately treated elsewhere. Some relevant works are mentioned in the References. Over the years, the author has been engaged in giving courses on vision and lighting, lately more in particular on Masterclasses on a post-graduate or post-doctorate level.
The proceedings of the June 1995 workshop, sponsored by the IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence, comprise 24 papers in six technical sessions: shape estimation; IR, SAR, and invariants; nonrigid motion analysis; illumination, reflectance, and shape;
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene. Traditional passive techniques have a fundamental limitation. The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional. That is, reduction of one dimension has occurred. Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision. This book consists of three parts: basic concepts, techniques, and applications. The first part explains the basic concepts for understanding active illumination techniques. In particular, the basic concepts of optics are explained so that researchers and engineers outside the field can understand the later chapters. The second part explains currently available active illumination techniques, covering many techniques developed by the authors. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques. This book is primarily aimed at 4th year undergraduate and 1st year graduate students, and will also help engineers from fields beyond computer vision to use active illumination techniques. Additionally, the book is suitable as course material for technical seminars.
