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Titlebook: Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs; Beyond Red, Green an Xiaoyan Zhang,Martin Const

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發(fā)表于 2025-3-21 18:10:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs
副標(biāo)題Beyond Red, Green an
編輯Xiaoyan Zhang,Martin Constable,Wang Junyan
視頻videohttp://file.papertrans.cn/233/232105/232105.mp4
概述Explains how some of the esthetic attributes of a painting may be transferred to a photograph using the latest in computational approaches.Shares many tips and insights into next-generation image impr
圖書(shū)封面Titlebook: Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs; Beyond Red, Green an Xiaoyan Zhang,Martin Const
描述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.
出版日期Book 2018
關(guān)鍵詞Atmospheric Perspective Effect Transfer; Colour Attributes Paintings; Computational Aesthetics; Geometr
版次1
doihttps://doi.org/10.1007/978-981-10-3561-6
isbn_softcover978-981-10-9906-9
isbn_ebook978-981-10-3561-6
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Introduction to the Properties of Materialsrelationships within a natural scene governed by the atmospheric perspective effect, yet also exaggerates upon them. In our approach, the depth-aware lightness and saturation contrast revealed in landscape paintings guides the mapping of contrasts in photographs. This contrast mapping is formulated
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Ronald A. Mayville,Thomas J. Warren that in the example portrait painting. The experimental results demonstrate the effectiveness of the proposed method. A user study shows that the proposed pose-based composition improvement is preferred more than the rule-based methods.
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raphs 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.978-981-10-9906-9978-981-10-3561-6
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Atmospheric Perspective Effect Transfer for Landscape Photographsrelationships within a natural scene governed by the atmospheric perspective effect, yet also exaggerates upon them. In our approach, the depth-aware lightness and saturation contrast revealed in landscape paintings guides the mapping of contrasts in photographs. This contrast mapping is formulated
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https://doi.org/10.1007/978-981-10-3561-6Atmospheric Perspective Effect Transfer; Colour Attributes Paintings; Computational Aesthetics; Geometr
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