Computer vision

Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures.

Image Modeling compiles papers presented at a workshop on image modeling in Rosemont, Illinois on August 6-7, 1979.

Pattern Recognitions by Humans and Machines, Volume 2: Visual Perceptions covers aspects of research on visual perception.

A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries.

This special issue is the first opportunity to introduce the research activities of the Human Interface Society.

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.

Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing.

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.

Video Cataloguing explains how to efficiently perform video structure analysis as well as extract the basic semantic contents for video summarization, which is essential for handling large-scale video data.

Face detection and recognition are the nonintrusive biometrics of choice in many security applications.

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education.

Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology.

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments.

Signal Recovery Techniques for Image and Video Compression and Transmission establishes a bridge between the fields of signal recovery and image and video compression.

The problem of scale pervades both the natural sciences and the vi- sual arts.

Radar Signal Processing and Its Applications brings together in one place important contributions and up-to-date research results in this fast-moving area.

Efficient parallel solutions have been found to many problems.

Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics.

Data Access and Storage Management for Embedded Programmable Processors gives an overview of the state-of-the-art in system-level data access and storage management for embedded programmable processors.

MPEG-4 is the multimedia standard for combining interactivity, natural and synthetic digital video, audio and computer-graphics.

Starting with fingerprints more than a hundred years ago, there has been ongoing research in biometrics.

Digital holography and digital image processing are twins born by computer era.

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation.

Current cameras are poor imitations of the human eye and close descen- dants in their design of ideas and a technology that are more than a century old.

I came to vision science trying to solve an engineering problem: I was trying to come up with test and measurement methodologies for digital video systems.

Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries.

The increasing amount of information available in today's world raises the need to retrieve relevant data efficiently.

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

Image processing is concerned with the analysis and manipulation of images by computer.

not a coincidence, but is the result of a carefully planned time of landing (sun elevation) and lander orientation (sun azimuth).

One of the most intriguing problems in video processing is the removal of the redundancy or the compression of a video signal.

Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision.

Digital image business applications are expanding rapidly, driven by recent advances in the technology and breakthroughs in the price and performance of hardware and firmware.

Image and Video Compression Standards: Algorithms and Architectures presents an introduction to the algorithms and architectures that underpin the image and video compression standards, including JPEG (compression of still images), H.

The aim of this book is to assemble a series of chapters, written by experts in their fields, covering the basics of color - and then some more.

In this book, the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms are set out.

Computer vision is an effective solution in a diverse range of real-life applications.

This book constitutes - in conjunction with the two-volume set LNCS 10954 and LNCS 10955 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018.

This IMA Volume in Mathematics and its Applications FRACTALS IN MULTIMEDIA is a result of a very successful three-day minisymposium on the same title.

Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications.

The advancement of security technologies has allowed information systems to store more crucial and sensitive data.

Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields.

Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation.

This book is devoted to the issue of image super-resolution-obtaining high-resolution images from single or multiple low-resolution images.

Helping readers master digital imaging, this text presents a unified theoretical basis for understanding and designing methods of imaging and image processing.

The application of imaging techniques in plant and agricultural sciences had previously been confined to images obtained through remote sensing techniques.