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.
Authors and Affiliations
College of Computer Science and Software Engineering, Shenzhen University College of Computer Science and Software Engineering, Shenzhen, China
Xiaoyan Zhang
Royal Melbourne Institute of Technology , Ho Chi Minh, Vietnam
Martin Constable
Tolendata Singapore R&D Centre Pvt Ltd , Singapore, Singapore
Kap Luk Chan
The University of Tokyo, Institute of Industrial Science The University of Tokyo, Tokyo, Japan
Jinze Yu
University of Southern California , Los Angeles, USA
Wang Junyan
Bibliographic Information
Book Title: Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs
Book Subtitle: Beyond Red, Green and Blue
Authors: Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
