论文标题

关于光场含量的视觉感知的研究

A Study on Visual Perception of Light Field Content

论文作者

Gill, Ailbhe, Zerman, Emin, Ozcinar, Cagri, Smolic, Aljosa

论文摘要

视觉计算系统的有效设计在很大程度上取决于视觉关注或显着性的预期。尽管对传统的2D图像和视频进行了充分的研究,但它仍然是新兴的沉浸式媒体的非常活跃的研究领域。特别是,光场的视觉关注(由相机或微镜头网格捕获的场景的光线)直到最近才成为研究的重点。由于它们可能以各种方式渲染和消费,因此出现的主要挑战是对光场内容的视觉感知的定义。在这项工作中,我们介绍了有关光场含量的视觉注意力研究。我们进行了感知实验,以各种方式向用户展示它们,并收集了相应的视觉注意数据。我们的分析强调了光场成像应用中用户行为的特征。本文提供了光场数据集和注意力数据。

The effective design of visual computing systems depends heavily on the anticipation of visual attention, or saliency. While visual attention is well investigated for conventional 2D images and video, it is nevertheless a very active research area for emerging immersive media. In particular, visual attention of light fields (light rays of a scene captured by a grid of cameras or micro lenses) has only recently become a focus of research. As they may be rendered and consumed in various ways, a primary challenge that arises is the definition of what visual perception of light field content should be. In this work, we present a visual attention study on light field content. We conducted perception experiments displaying them to users in various ways and collected corresponding visual attention data. Our analysis highlights characteristics of user behaviour in light field imaging applications. The light field data set and attention data are provided with this paper.

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