Top Research Papers on Computer Vision

This paper gives a brief survey of existing vision-based interactive systems, and describes the basic algorithms used by some systems built at MERL: visionbased computer games, a television set controlled by hand gestures, and 3-D head tracking.

The article demonstrates through four cases studies that the active involvement of a person who is sensitive to the broad aspects of vision system design can avoid disaster and can often achieve a successful machine that would not otherwise have been possible.

This collection of elementary facts and definitions is meant to be a guide to concepts and results of color vision and color science research that are likely to be of interest to computer visionaries.

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.

Different visions about the ways handheld computers should be used in K-12 classrooms abound, and it is vital for parents, educators, and students to understand the defining characteristics, assumptions, and goals of these perspectives.

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.

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.

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.

This paper presents this emerging computational view of visual perception, discusses some early work in the field in its context, and puts forward current thoughts on the overall organization and operation of a general-purpose computer vision system, synthesizing recent theoretical and experimental results.

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.

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 basic algorithms used by some systems the authors have built at MERL are described: vision-based computer games, a television set controlled by hand gestures, and 3-D head tracking.

It is argued that a promising direction for interaction is to make the computers more aware of the situation the user is in and to model the user's context.

Two algorithms are described, based on image moments and orientation histograms, which exploit the capabilities of the chip to provide interactive response to the player's hand or body positions at 10 msec frame time and at low-cost.

Computer vision is known to be a CPU power consuming task. Real-time video capturing, filtering and converting take so much time that creating a substantial artificial intelligence algorithm seems to be unrealisable. In this article author considers using a cluster in a computer vision project, advantages and disadvantages of this solution. He explains some ideas about minimization of amount of data and other methods of speeding up the algorithm. Streszczenie. Systemy wizyjne bywają bardzo wymagające pod względem mocy obliczeniowej. Przechwytywanie, filtrowanie i konwersja obrazu w czasie rzec...

How Interval Analysis can be used to solve some problems in Computer Vision, namely autocalibration and triangulation is discussed.

A vision of the future from the 1939 World's Fair shows a human-machine interface that was envisioned is wonderful; the woman interacts with the machine using an intuitive gesture, which is a goal today for researchers designing human- machine interfaces.

The technique of interval arithmetic is described and it is shown how its use can lead to a greater understanding of depth from stereo estimates.

In this article, we present a new framework oriented to teach Computer Vision related subjects called JavaVis. It is a computer vision library divided in three main areas: 2D package is featured for classical computer vision processing; 3D package, which includes a complete 3D geometric toolset, is used for 3D vision computing; Desktop package comprises a tool for graphic designing and testing of new algorithms. JavaVis is designed to be easy to use, both for launching and testing existing algorithms and for developing new ones. © 2013 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:258–267, 2...

The Vision Engine is a system with a pipelined early vision architecture, Datacube image processors, connected to a MIMD intermediate vision system, a set of Transputers, designed for general vision tasks.

Comprised of innovation leaders of computer vision, this panel will cover recent developments, as well as how CV will be enabled and used in 2016 and beyond.

A novel optoelectronic sensor capable of automatically compensating for sudden variations in light exposure is demonstrated, laying the groundwork for the potential development of a new generation of edge-computing cameras that allow computer vision applications to be carried out in a more energy- and computationally-efficient way.

Vision Spreadsheet is an environment for computer vision that combines a spreadsheet with computer vision and scientific python and it extensible by writing python functions and importing them into the spreadsheet.

What computer vision can learn from human vision and how it will be affected by the new interdisciplinary research is discussed and it is suggested that computer vision should learn some things from neuroscience and brain science.

A succinct summary of the relevant mathematical theory, a historic perspective of some important symmetry-related ideas, a partial yet timely report on the state of the arts symmetry detection algorithms along with its first quantitative benchmark, a diverse set of real world applications, suggestions for future directions and a comprehensive reference list are offered.

No significant change in monocular accommodative or vergence facility was observed follow- ing the computer task, although a small increase in post-task binocular accom- modative facility was noted.

This article presents the research group in computer vision at the Universidad de Chile, as an example of how difficulties can be overcome through international cooperation, focusing on global research projects with low requirements of expensive equipments.

The computer vision workshop is a crucial platform addressing the escalating demands of this rapidly evolving field within computer science. In today's era, visual data processing is integral across diverse sectors such as healthcare, security, and industry, making the workshop a guiding beacon for participants navigating the complex terrain of computer vision. Central to its agenda is the dissemination of practical insights into training data for object recognition, a cornerstone for unleashing the full potential of computer vision applications. Participants delve into fundamental concepts, e...

Abstract A new "computational" formulation of cross ratio is presented with a view to applications to computer vision problems by extending the framework of "computational projective geometry" of Kanatani (Image Understand. 54, 1991, 333-348). As typical examples, we construct procedures for computing the 3-D orientation of a planar shape from its 2-D projection image and the focus of expansion from an image trajectory of a single point by taking advantage of the perspective invariance of cross ratio and "projective coordinates," and the resulting 3-D interpretation of "harmonic range."

The intelligent computers would be capable of handling simple tasks, such as correcting system failures, configuring themselves by installing new operating system software and data automatically, performing a wider variety of tasks, while crashing less often.

This paper focuses on the development of energy efficient algorithms that work to boost data center energy efficiency and performance and proposes development of Virtualization technology that provides some unique opportunity for better resource utilization and a software platform that supports the energy efficient management and allocation of Cloud data center resources.

This paper describes the usage of custom computing approach to meet the computation and communication needs of computer vision algorithms and demonstrates the advantages of this approach using Splash 2-a Xilinx 4010-based custom computer.

This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs).

This work describes vision algorithms for interactive graphics and presents vision-controlled graphics applications using these algorithms to help make computers easier to use.

Computer vision uses a variety of visual-imaging-systems instead of visual organs as a sensitive input method, then uses computer in processing and explaining instead of the brain.

The field would benefit from both an undergraduate computer vision text aimed at computer scientists and from a text with a stronger focus on color computer vision and its applications.

Approaches of vision techniques in HCI in computer gaming are summarized in several categories including vision enabled pointing and positioning, vision for manipulating objects, training and education, and miscellaneous applications.

This book collects the ideas and algorithms from the world's leading scientists, offering a glimpse of the radical changes that are round the corner and which will change the way the authors will interact with computers.

The problem of finding holes is linked to the problem of extracting features from images and deep learning methods such as convolutional neural networks, and new methods for finding empty hyper-rectangles are introduced.

The compute process and approach of affective computing is introduced, and it is pointed out that problems and challenge currently.

NOTE: THIS IS A DRAFT DOCUMENT

This article examines how attempts to make computer vision systems accessible to users with darker skin tones has led to either the hypervisibility of phenotypic racial traits, particularly morphological features like hair texture and lip size, or the invisibility of race.

The most common computer use related symptoms experienced by students include headache, burning and itchy red eyes and blurred vision, and the best prevention strategy reported by the students to work is taking regular breaks from computer use.

An in-depth review of the vision-based transformer, covering transformers on image object detection, multiple object tracking, action classification, and visual segmentation, and a comprehensive experimental comparison to validate the strength of transformer-based methods.

Computer Vision Syndrome (CVS) is a condition in which a person experience one or more of eye symptoms and/or headache and back pain as a result of prolonged working on a computer.

This chapter focuses on visual perception, which is the dominant sense in humans and has been used from the first days of building artificial machines, and highlights the state of the art in computer vision methods that have been found to operate well and that led to the development of capabilities.

Predictive value of electrophoretically detected lipoprotein for coronary heart disease and cerebrovascular disease in a community-based cohort of 9936 men and women is found.

A platform to distribute a real time vision algorithm using simple widely available web technologies, such as Adobe Flash is shown, which allows a user to access this service without downloading an executable or sharing the image stream with anyone.

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.