基于深度感知的图像的程式化描述

Jorge López-Moreno, Jorge Jimenez, Sunil Hadap, E. Reinhard, K. Anjyo, D. Gutierrez
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引用次数: 23

摘要

最近在图像编辑方面的工作为操纵和增强输入图像开辟了新的可能性。在此背景下,我们利用人类感知的众所周知的特征以及简单的深度近似算法来创造性地重光照图像,以生成现有方法难以实现的非真实感再现。我们在图形硬件上的实时实现允许用户有效地探索每个图像的艺术可能性。我们展示了用四种不同风格产生的结果,证明了我们方法的通用性,并通过用户研究验证了我们的假设和简化。
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Stylized depiction of images based on depth perception
Recent works in image editing are opening up new possibilities to manipulate and enhance input images. Within this context, we leverage well-known characteristics of human perception along with a simple depth approximation algorithm to creatively relight images for the purpose of generating non-photorealistic renditions that would be difficult to achieve with existing methods. Our realtime implementation on graphics hardware allows the user to efficiently explore artistic possibilities for each image. We show results produced with four different styles proving the versatility of our approach, and validate our assumptions and simplifications by means of a user study.
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