20 research outputs found

    Anna Ursyn: Computer Graphics, Digital Media, Knowledge Visualization, Concept Art and Digital Illustration

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    This poster will show directions in my knowledge visualization research as it relates to my students on undergraduate and graduate levels. Various approaches to technology and representation of abstract concepts will be presented

    Information Visualization (iV): Notes about the 9th IV ’05 International Conference, London, England

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    This review tells about the International Conference on Information Visualization that is held annually in London, England. Themes selected from the Conference Proceedings are focused on theoretical concepts, semantic approach to visualization, digital art, and involve 2D, 3D, interactive and virtual reality tools and applications. The focal point of the iV 05 Conference was the progress in information and knowledge visualization, visual data mining, multimodal interfaces, multimedia, web graphics, graph theory application, augmented and virtual reality, semantic web visualization, HCI, digital art, among many other areas such as information visualization in geology, medicine, industry and education

    A quantitative approach for detecting symmetries and complexity in 2D plane

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    Aesthetic evaluation of computer generated patterns is a growing filed with several challenges. This paper focuses on the quantitative evaluation of order and complexity in multi-state two-dimensional (2D) cellular automata (CA). CA are known for their ability to generate highly complex patterns through simple and well defined local interaction of rules. It is suggested that the order and complexity of 2D patterns can be quantified by using mean information gain. This measure, also known as conditional entropy, takes into account conditional and joint probabilities of the elements of a configuration in a 2D plane. A series of experiments is designed to demonstrate the effectiveness of the mean information gain in quantifying the structural order and complexity, including the orientation of symmetries of multi-state 2D CA configurations

    Swarmic approach for symmetry detection of cellular automata behaviour

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    Since the introduction of cellular automata in the late 1940s they have been used to address various types of problems in computer science and other multidisciplinary fields. Their generative capabilities have been used for simulating and modelling various natural, physical and chemical phenomena. Besides these applications, the lattice grid of cellular automata has been providing a by-product interface to generate graphical contents for digital art creation. One important aspect of cellular automata is symmetry, detecting of which is often a difficult task and computationally expensive. In this paper a swarm intelligence algorithm—Stochastic Diffusion Search—is proposed as a tool to identify points of symmetry in the cellular automata-generated patterns

    Art as Information

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    Do You Make Art Because You Are an Artist, or You Are an Artist, Because You Make Art?

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    This perspective is based on an artist's experience where coding is a part of artistic creation. It is aimed to explore how Art and Mathematics complement one another and how we can enhance the aesthetic quality of electronic image production through putting these links in action. A pragmatic goal for this paper is to discuss the aesthetic quality of an electronic image production in computer graphics, animation and web. Further discussion is about a place for artistic input in data presentation and possible approaches to creating and designing that relate to working on mathematical applications and contradiction
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