Top Research Papers on Computer Vision

The paper gives an hyperbrief review of computer vision, concen-trating on representative achievements in early vision to stress the underlying unity of its scientific foundations and intellectual achievements.

This image understanding will be seen because the disentangling of symbolic info from image knowledge mistreatment models created with the help of pure mathematics, physics, statistics, and learning theory is seen.

It is argued that the ability of machines to learn predictive models of the world is a key component of that will enable significant progress in AI and a general formulation of unsupervised learning that deals with partial predictability will be presented.

The scheme of interaction of the components of a computer vision system will allow monitoring of events occurring in production during operation, monitoring the situation at the enterprise for the occurrence of a potentially dangerous situation for personnel and equipment, and, accordingly, this system will be able to prevent an emergency, as well as avoid personal injury by reacting even to minor deviations from operating parameters.

The abstract of computer vision encompasses a range of fundamental tasks and objectives, including image Classification, which involves classifying images into predefined categories or classes, such as distinguishing between different objects, animals, or scenes.

Computer Vision presents the necessary theory and techniques for students and practitioners who will work in fields where significant information must be extracted automatically from images, a useful resource book for professionals and a core text for both undergraduate and beginning graduate computer vision and imaging courses.

Computer vision has many applications, including robotics, industrial automation, document processing, remote sensing, navigation, microscopy, medical imaging, and the development of visual prostheses for the blind.

Editor-In-Chief (EiC) Carl K. Chang offers a look at his plans for Computer magazine's future.

The texture characteristics of both stone and lump coal are found to be most significant as far as separation is concerned and a separation algorithm based on Mahalnobis' distance discrimination function is developed.

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An embedded engine is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy.

Computer vision deals with the extraction of information about a scene by analysis of images of that scene by comparison of the configuration of parts, properties and relations with standard configurations representing the objects of interest.

An overview of computer vision systems, the techniques utilized, applications, the current existing systems and state-of-the-art issues and research requirements, who is doing it and who is funding it, and future trends and expectations are reviewed.

The vision research being performed under the Strategic Computing Initiative sponsored by the Defense Advanced Research Projects Agency (DARPA) of the US Department of Defense is discussed and the structure of the projects and the relationships among them are explained.

This chapter covers the applications of both directed and undirected PGMs to such middle level vision tasks as object detection and recognition, object tracking, scene recognition, and 3D reconstruction.

This paper describes a medical condition called Computer Vision Syndrome (CVS), which results from use of computer technology and describes workstations, guidelines, exercises, and suggested resources.

This paper is an attempt at explaining some of the results, the problems and shortcomings of using Computer Vision in the real world.

The scope of this paper concerns both the developments in the field of computer vision and applications related to computer vision such as vision for the robots of the next century and the efforts of development teams to integrate some of these advanced ideas into coherent prototype development system.

There are still obstacles to achieving general, robust, high-performance computer vision systems, but the last decade has seen significant progress in vision technologies for human-computer interaction.

The ego-vehicle is that vehicle where the computer vision system operates in; ego-motion describes the ego-Vehicle’s motion in the real world.