Depth-aware coherent line drawings

Marc Spicker, J. Kratt, Diana Arellano, O. Deussen
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引用次数: 12

Abstract

In this paper we utilize depth information to extend a line drawing algorithm, improving depth perception and object differentiation in large and spatially complex scenes. We consider different scales of features and apply a flow-based morphological filter to the scenes. Based on this two line drawing styles are defined. The proposed algorithm works in real-time and enables users to manipulate the parameter space through instant visual feedback. We evaluated the effectiveness of our method by performing a user study.
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深度感知连贯线条图
在本文中,我们利用深度信息扩展了一种线条绘制算法,提高了在大型和空间复杂场景中的深度感知和物体区分。我们考虑不同尺度的特征,并对场景应用基于流的形态过滤器。在此基础上定义了两种线条绘制样式。该算法是实时工作的,用户可以通过即时的视觉反馈来操纵参数空间。我们通过进行用户研究来评估我们方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Depth-aware coherent line drawings Illustration2Vec: a semantic vector representation of illustrations A linear blending scheme for rigid and non-rigid deformations Coherent and importance sampled LVC BDPT on the GPU Depth-aware patch-based image disocclusion for virtual view synthesis
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