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==Ästhetik-Maße==
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==Ästhetik Maße und Metriken==
  
  
  
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==Konferenzen, Workshop==
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==Konferenzen, Workshops==
  
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[http://www.computational-aesthetics.org/index_ca05.html Computational Aesthetics in Graphics, Visualization and Imaging CAe 2005] 18 - 20 May, 2005 in Girona, Spain
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Gesamtüberblick über die [[Computational Aesthetics Conferences]]
  
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Program:
 
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Non-photorealistic Rendering 1
 
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- T. Isenberg, M. Costa Sousa, M. Sheelagh T. Carpendale: Breaking the Pixel Barrier
 
  
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- B. Wyvill, K. Foster, P. Jepp, R. Schmidt, M. Costa Sousa, J. A. Jorge: Stylistic Rendering of Implicit Models
 
  
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- M. Grundland, Ch. Gibbs, N. A. Dodgson: Stylized Rendering for Multiresolution Image Representation
 
  
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- M. Costa Sousa, B. Gooch, A. Gooch: The NPR Pipeline
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==Artikel==
  
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Stylization Techniques
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===Artikel aus dem Kontext Evolutionäre Kunst===
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Penousal Machado, Tiago Martins, Hugo Amaro, Pedro H. Abreu; An Interface for Fitness Function Design. In: EvoMUSART 2014, S. 13-25. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_2
  
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- M. Kaplan, E. Cohen: Stylizations- Automatically Producing Expressive Renderings and Drawings
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Andrew Bishop, Vic Ciesielski, Karen Trist: Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value. In: EvoMUSART 2014, S. 62-73. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_6
  
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- E. Akleman: Automatic Creation of Expressive Caricatures: A Grand Challenge For Computer Graphics
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Luz Castro, Rebeca Perez, Antonino Santos, Adrian Carballal: Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems. In: EvoMUSART 2014, S. 74-84. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_7
  
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- B. Chen : Abstraction and Depiction of Sparsely Scanned Outdoor Environments
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Gary Greenfield: An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images. In: EvoMUSART 2014, S. 85-94. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_8
  
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INVITED TALK: David Salesin: From Kant to Computation: Why Aesthetics Matter Now More than Ever, and What We Can Do about It
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Jon McCormack: Aesthetics, Art, Evolution. In: EvoMUSART 2013, S. 1-12. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_1
  
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Non- photorealistic Rendering 2
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Victor Ciesielski, Perry Barile, Karen Trist: Finding Image Features Associated with High Aesthetic Value by Machine Learning. In: EvoMUSART 2013, S. 47-58. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_5
  
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-J. Wan Park, Kyung hyun Yoon: Layered Mosaics for Stackable Objects
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Kate Reed: Aesthetic Measures for Evolutionary Vase Design. In: EvoMUSART 2013, S. 59-71. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_6
  
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- G. Di Blasi, G. Gallo, M. Petralia: Fast Techniques for Mosaic Rendering
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João Correia, Penousal Machado, Juan Romero, Adrián Carballal: Feature Selection and Novelty in Computational Aesthetics. In: EvoMUSART 2013, S. 133-144. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_12
  
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- M. Kaplan, E. Cohen: A Generative Model For Dynamic Canvas Motion
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Colin G. Johnson: Fitness in Evolutionary Art and Music: What Has Been Used and What Could Be Used? In: EvoMUSART 2012, S. 129-140. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_12
  
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- E. Stavrakis, M. Gelautz: Computer Generated Stereoscopic Artwork
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Yang Li, Changjun Hu, Ming Chen, Jingyuan Hu: Investigating Aesthetic Features to Model Human Preference in Evolutionary Art. In: EvoMUSART 2012, S. 153-164. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_14
  
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Visualization Methods
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Heijer, E. den; Eiben, A.E.: Evolving Art Using Multiple Aesthetic Measures. In: EvoMUSART 2011, S. 234-243. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_24
  
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- I. Viola, M. E. Gröller: Smart Visibility in Visualization
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Romero, Juan; Machado, Penousal; Carballal, Adrian; Osorio, Olga: Aesthetic Classification and Sorting Based on Image Compression. In: EvoMUSART 2011, S. 394-403. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_40
  
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- D. S. Ebert, D. Stredney, M. Costa Sousa: Computer- generated Illustrative Visualization Medical Training
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Heijer, E. den; Eiben, A.E.: Comparing Aesthetic Measures for Evolutionary Art. In: EvoMUSART 2010, S. 311-320. DOI: http://link.springer.com/10.1007/978-3-642-12242-2_
  
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- D. House, A. Bair, C. Ware : On the Optimization of Visualizations of Complex Phenomena
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Machado, Penousal; Romero, Juan; Manaris, Bill: Experiments in Computational Aesthetics. In: Romero, Juan; Machado, Penousal: The Art of Artificial Evolution. Springer, Berlin, 2007, S. 381-415.  DOI: http://link.springer.com/10.1007/978-3-540-72877-1_18
  
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Color Transfer
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Basa, Tristan; Go, Christian Anthony; Yoo, Kil-Sang; Lee, Won-Hyung: Using Physiological Signals to Evolve Art. In: EvoMUSART 2006, S. 633-641. DOI: http://link.springer.com/10.1007/11732242_60
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- Ph. Bekaert, K. Vanhoutte, E. Joris: Radical Confluence: Translating Omni- Directional Video into Strategies of Performativity
 
  
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- G. R. Greenfield, D. H. House: A Palette- Driven Approach to Image Color Transfer
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Machado, Penousal; Romero, Juan; Santos, Maria Luisa; Cardoso, Amilcar; Manaris, Bill:  Adaptive Critics for Evolutionary Artists. In: EvoMUSART 2004, S. 437-446. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_45
  
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- L. Neumann, A. Neumann: Color- Style Transfer Techniques using Hue, Lightness and Saturation Histogram Matching
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Svangard, Nils; Nordin, Peter: Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes Using the Universal Similarity Metric. In: EvoMUSART 2004, S. 447-456. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_46
  
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Artistic Imaging
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Romero, Juan; Machado, Penousal; Santos, Antonio; Cardoso, Amilcar: On the Development of Critics in Evolutionary Computation Artists. In: EvoMUSART 2003, S. 559-569. DOI: http://link.springer.com/10.1007/3-540-36605-9_51
  
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- T. Georgiev: Aesthetics in Covariant Image Reconstruction
 
  
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- L. Neumann, A. Neumann: Gradient Domain Imaging
 
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- G. R. Greenfield, D. H. House: A Palette- Driven Approach to Image Color Transfer
 
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Color
 
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- A. Wilkie, C. Larboulette, W. Purgathofer: Spectral Colour Ordering Systems and Appearance Metrics for Fluorescent Solid Colours
 
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- G. W. Meyer, C. Shimizu: Computational Automotive Color Appearance
 
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- L. Neumann, A. Nemcsics, A. Neumann: Computational Color Harmony based on Coloroid System
 
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- B. Gooch: Color2Gray: Salience- Preserving Color Removal
 
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INVITED TALK: Antal Nemcsics: The Coloroid color-order system and its application in the environmental color planning
 
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Metrics
 
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- B. Gooch: Enhancing Perceived Depth in Images Via Artistic Matting
 
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- J. Rigau, M. Feixas, M. Sbert: An Information Theoretic Framework for Image Complexity
 
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- G. R. Greenfield: On Designing and Testing Metrics to Aesthetically Evaluate Images
 
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- K. Matkovic, A. Neumann, L. Neumann, Th. Psik, W. Purgathofer: Global Contrast Factor and a Framework for Aesthetical Metrics
 
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Metrics and Complexity
 
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- D. Plemenos, M. Sbert, M. Feixas: Viewpoint complexity of 3D scenes: definitions and applications
 
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- K. Hartmann, K. Ali, T. Götzelmann, Th. Strothotte: Form Follows Function: Aesthetic Labeling Styles
 
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- E. Del Acebo, M. Sbert: How Benford's Law can help in image analysis and classification
 
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==Literatur==
 
  
  
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http://www.computational-aesthetics.org/
 
http://www.computational-aesthetics.org/
  
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http://en.wikipedia.org/wiki/Aesthetics#Computational_inference_of_aesthetics
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[[Begriffe_zur_Evolutionären_Kunst | zurück zur Liste der Begriffe]]
 
[[Begriffe_zur_Evolutionären_Kunst | zurück zur Liste der Begriffe]]

Aktuelle Version vom 6. Dezember 2014, 13:32 Uhr

zurück zur Liste der Begriffe


Begriff

Ästhetik Maße und Metriken

Konferenzen, Workshops

Gesamtüberblick über die Computational Aesthetics Conferences



Artikel

Artikel aus dem Kontext Evolutionäre Kunst

Penousal Machado, Tiago Martins, Hugo Amaro, Pedro H. Abreu; An Interface for Fitness Function Design. In: EvoMUSART 2014, S. 13-25. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_2

Andrew Bishop, Vic Ciesielski, Karen Trist: Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value. In: EvoMUSART 2014, S. 62-73. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_6

Luz Castro, Rebeca Perez, Antonino Santos, Adrian Carballal: Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems. In: EvoMUSART 2014, S. 74-84. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_7

Gary Greenfield: An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images. In: EvoMUSART 2014, S. 85-94. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_8

Jon McCormack: Aesthetics, Art, Evolution. In: EvoMUSART 2013, S. 1-12. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_1

Victor Ciesielski, Perry Barile, Karen Trist: Finding Image Features Associated with High Aesthetic Value by Machine Learning. In: EvoMUSART 2013, S. 47-58. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_5

Kate Reed: Aesthetic Measures for Evolutionary Vase Design. In: EvoMUSART 2013, S. 59-71. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_6

João Correia, Penousal Machado, Juan Romero, Adrián Carballal: Feature Selection and Novelty in Computational Aesthetics. In: EvoMUSART 2013, S. 133-144. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_12

Colin G. Johnson: Fitness in Evolutionary Art and Music: What Has Been Used and What Could Be Used? In: EvoMUSART 2012, S. 129-140. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_12

Yang Li, Changjun Hu, Ming Chen, Jingyuan Hu: Investigating Aesthetic Features to Model Human Preference in Evolutionary Art. In: EvoMUSART 2012, S. 153-164. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_14

Heijer, E. den; Eiben, A.E.: Evolving Art Using Multiple Aesthetic Measures. In: EvoMUSART 2011, S. 234-243. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_24

Romero, Juan; Machado, Penousal; Carballal, Adrian; Osorio, Olga: Aesthetic Classification and Sorting Based on Image Compression. In: EvoMUSART 2011, S. 394-403. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_40

Heijer, E. den; Eiben, A.E.: Comparing Aesthetic Measures for Evolutionary Art. In: EvoMUSART 2010, S. 311-320. DOI: http://link.springer.com/10.1007/978-3-642-12242-2_

Machado, Penousal; Romero, Juan; Manaris, Bill: Experiments in Computational Aesthetics. In: Romero, Juan; Machado, Penousal: The Art of Artificial Evolution. Springer, Berlin, 2007, S. 381-415. DOI: http://link.springer.com/10.1007/978-3-540-72877-1_18

Basa, Tristan; Go, Christian Anthony; Yoo, Kil-Sang; Lee, Won-Hyung: Using Physiological Signals to Evolve Art. In: EvoMUSART 2006, S. 633-641. DOI: http://link.springer.com/10.1007/11732242_60

Machado, Penousal; Romero, Juan; Santos, Maria Luisa; Cardoso, Amilcar; Manaris, Bill: Adaptive Critics for Evolutionary Artists. In: EvoMUSART 2004, S. 437-446. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_45

Svangard, Nils; Nordin, Peter: Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes Using the Universal Similarity Metric. In: EvoMUSART 2004, S. 447-456. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_46

Romero, Juan; Machado, Penousal; Santos, Antonio; Cardoso, Amilcar: On the Development of Critics in Evolutionary Computation Artists. In: EvoMUSART 2003, S. 559-569. DOI: http://link.springer.com/10.1007/3-540-36605-9_51



Externe Links

http://www.computational-aesthetics.org/

http://en.wikipedia.org/wiki/Aesthetics#Computational_inference_of_aesthetics


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