Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs is popular PDF and ePub book, written by Xiaoyan Zhang in 2017-07-18, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs can be Read Online from any device for your convenience.

Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs Book PDF Summary

This book examines paintings using a computational and quantitative approach. Specifically, it compares paintings to photographs, addressing the strengths and limitations of both. Particular aesthetic practices are examined such as the vista, foreground to background organisation and the depth planes. These are analysed using a range of computational approaches and clear observations are made. New generations of image-capture devices such as Google goggles and the light field camera, promise a future in which the formal attributes of a photograph are made available for editing to a degree that has hitherto been the exclusive territory of painting. In this sense paintings and photographs are converging, and it therefore seems an opportune time to study the comparisons between them. In this context, the book includes cutting-edge work examining how some of the aesthetic attributes of a painting can be transferred to a photograph using the latest computational approaches.

Detail Book of Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs PDF

Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs
  • Author : Xiaoyan Zhang
  • Release : 18 July 2017
  • Publisher : Springer
  • ISBN : 9789811035616
  • Genre : Technology & Engineering
  • Total Page : 209 pages
  • Language : English
  • PDF File Size : 13,7 Mb

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