Objectivity, Invariance and Convention – Symmetry in Physical Science
Mathematical Optimization in Computer Graphics and Vision,
The first book in this rapidly expanding area, "Computer Vision Technology for Food Quality Evaluation" thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source. Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use. Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains.
Until recently, almost all of the interactions between objects in virtual 3D worlds have been based on calculations performed using linear algebra. Linear algebra relies heavily on coordinates, however, which can make many geometric programming tasks very specific and complex-often a lot of effort is required to bring about even modest performance enhancements. Although linear algebra is an efficient way to specify low-level computations, it is not a suitable high-level language for geometric programming. "Geometric Algebra for Computer Science" presents a compelling alternative to the limitations of linear algebra. Geometric algebra, or GA, is a compact, time-effective, and performance-enhancing way to represent the geometry of 3D objects in computer programs. In this book you will find an introduction to GA that will give you a strong grasp of its relationship to linear algebra and its significance for your work. You will learn how to use GA to represent objects and perform geometric operations on them. And you will begin mastering proven techniques for making GA an integral part of your applications in a way that simplifies your code without slowing it down.
Computer vision-based gender detection from facial image is a challenging and important task for computer vision-based researchers. The automatic gender detection from face image has potential applications in visual surveillance and human-computer interaction sys- tems (HCI). Human faces provide important visual information for gender perception. The system described in this book can automatically detect face from input images and the detected facial area is taken as region of interest (ROI). Some techniques and algorithm of Image Processing is applied on that ROI which identifies the gender of the face image.The experimental reseult described on chapter 4 in this book finds the accuracy of the system is more than 80%.
Vision is the most dynamic of all our senses. In our social structure, almost all of today's media are based on our vision. But, images obtained from different sources are mostly blurred, noisy or of low contrast. Thus, before any application the correction of these distortions is essential by some kind of image enhancement techniques to make the information comprehensible. An important process of image analysis is the recognition of regions in images achieved through segmentation, the development of which is imperative due to the important information found in the regions about the objects used for identification. Image filtering is also an important technique for noise removal from noisy images. This book, besides providing a fundamental knowledge on geometric image features, also highlights various advanced image enhancement techniques which are more efficient than the conventional ones. Various modern approaches to region segmentation and filtering using both linear and non-linear filters are emphasized quantitatively, with appropriate coding and successful MATLAB implementations. Such dynamic developments make it a science and technology with a promising future and potential.
In view of the immense and rapidly increasing quantity of user-created 3D content and real-world scene data publicly available on the internet, as well as the widespread popularity of data acquisition devices such as low-cost depth cameras, it has become convenient to acquire or access data that can potentially be utilized for modeling. In this book, we explore how data-driven optimization can be adapted to the essential tasks of functionality modeling and reasoning. We first discuss the conceptual innovations inherent to model synthesis through data-driven optimization, along with the advantages of and considerations in its application. We then tackle various challenging functionality modeling and reasoning problems within our novel framework. In the context of computer graphics, we devise data-driven optimization methods for virtual world modeling and virtual character modeling. In the context of computer vision, we devise data-driven optimization methods for 3D surface reconstruction from images.
A wide selection of stereo matching algorithms have been evaluated for the purpose of creating a collision avoidance module. Varying greatly in the accuracy, a few of the algorithms were fast enough for further use. Two computer vision libraries, OpenCV and MRF, were evaluated for their implementations of various stereo matching algorithms. In addition OpenCV provides a wide variety of functions for creating sophisticated computer vision programs and were evaluated on this basis as well. Two low-power platforms, The Pandaboard and the Beaglebone Black, were evaluated as viable platforms for developing a computer vision module on top. In addition they were compared to an Intel platform as a reference. Based on the results gathered, a fast, but simple, collision detector could be made using the simple block matching algorithm found in OpenCV. A more advanced detector could be built using semi-global stereo matching. These were the only implementations that were fast enough. The other energy minimization algorithms (Graph cuts and belief propagation) did produce good disparity maps, but were too slow for any realistic collision detector.
To count the blood cells in a clinical laboratory different two methods and techniques are used. One is the old conventional method of cell counting under the microscope and the other is to produce cell counting report by latest but very expensive haematology analyser machine. But both these methods have their own different drawbacks. The main problem with the method of counting manually under the microscope is accuracy, this method needs a real experienced laboratory technician who is trained enough to produce an accurate cell counting report, and even if the laboratory technician if well trained and experienced still we one cant neglect the chance of error in the report due to error caused by apparatus, personal errors, statistical errors etc. While on the other hand latest haematology analyser somehow error free and fast but it is widely unavailable and very expensive machine and the countries like Pakistan are resource less to provide it in every hospital laboratory in country. So as a result of the problem this research based project proposed a new method of cell counting which is easy to use, don't need fully experienced men to handle, accurate and economical.
The year is 2015, MEMS (Microelectromechanical Systems) technology is a growing field that requires more automative tools to lower the cost of production. Current industry standards of tele-operated 3D manipulated MEMS parts to create new devices are labor intensive and expensive process. Using computer vision as a main feedback tool to recognize parts on a chip, it is possible to program a close loop system to instruct a computer to pick and assemble parts on the chip without the aid of a user. To make this process a viable means, new chip designs, robotic systems and computer vision algorithms working along side with motion controllers were developed. This work shows in detail the hardware, software and processes in place to make it possible.
Computer Graphics and Geometric Modeling for Engineers
Geometric Algebra for Computer Science (Revised Edition),
Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning.