Image Environment
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Image Analysis and Recognition
ICIAR 2004, the International Conference on Image Analysis and Recognition, was the ?rst ICIAR conference, and was held in Porto, Portugal. ICIAR will be organized annually, and will alternate between Europe and North America. ICIAR 2005 will take place in Toronto, Ontario, Canada. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. The response to the call for papers for ICIAR 2004 was very positive. From 316 full papers submitted, 210 were accepted (97 oral presentations, and 113 - sters). The review process was carried out by the Program Committee members and other reviewers; all are experts in various image analysis and recognition areas. Each paper was reviewed by at least two reviewing parties. The high q- lity of the papers in these proceedings is attributed ?rst to the authors, and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, and we wholeheartedly thank the reviewers for their excellent work in such a short amount of time. We are espe- ally indebted to the Program Committee for their e?orts that allowed us to set up this publication. We were very pleased to be able to include in the conference, Prof. Murat KuntfromtheSwissFederalInstituteofTechnology,andProf. Mario ́ Figueiredo, oftheInstitutoSuperiorT ́ ecnico,inPortugal.
Experimental Environments for Computer Vision and Image Processing
To fully appreciate new methods developed in the area of machine vision it is necessary to have facilities which allow experimental verification of such methods. Experimental research is typically a very expensive task in terms of manpower, and consequently it is desirable to adopt standard facilities/methods which allow more efficient experimental investigations. In this volume a range of different experimental environments which facilitate construction and integration of machine vision systems is described. The environments presented cover areas such as robotics, research in individual machine vision methods, system integration, knowledge representation, and distributed computing. The set of environments covered include commercial systems, public domain software and laboratory prototype, showing the diversity of the problem of experimental research in machine vision and providing the reader with an overview of the area.
The Switch Image
Author: Lorenz Engell
language: en
Publisher: Bloomsbury Publishing USA
Release Date: 2021-04-22
Television is the most powerful system of images in the late 20th and early 21st centuries. Nonetheless, TV has attained only little philosophical attention so far, especially compared to other (visual) media such as film. This book looks at TV as what happens on the screen and beyond it; which is mainly the operation of switching images. It therefore proposes a new definition of TV as the first picture that can be switched on, off, and over, which stresses that TV is more tactile than visual. Through the operation of switching, TV figures the world from within and as the course of its figuration. This is grasped here by the term of “ontography”. Through the ongoing interlacing and bridging of “TV 1.0” (the image is being switched) and “TV 2.0” (the image is a switch), TV exponentially increases the production and circulation of images. It transforms the world and itself from an analogue state to a digital one and from central perspectivism to pluri-perspective. In terms of time, through switching and the switch, it develops and reworks new temporal orderings, such as instantaneity, synchronicity, flow, and seriality. TV makes its own history. In space, it creates a mediasphere as its habitat and hence new forms of being-in-the-world, of proximity and distance, and scale. Anthropologically, it works on what a subject and an object is, on what makes the human being, and ontographically, how it is possible that there is something at all instead of nothing: through switch-images.