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A Study on Visual Perception of Light Field Content

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arxiv 2008.03195 v1 pith:CUJ5WUGT submitted 2020-08-07 cs.CV eess.IV

classification cs.CVeess.IV
keywords visuallightattentionfieldcontentdataperceptionresearch
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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. DASC: Depth-of-Field Aware Scene Complexity Metric for 3D Visualization on Light Field Display

    cs.MM 2025-08 reject novelty 5.0 of 10

    The paper proposes a hand-built scene complexity score for light field displays and a fitted sigmoid that maps that score to the preferred depth-of-field blur, validated on three new scenes.

  2. EGGCodec: A Robust Neural Encodec Framework for EGG Reconstruction and F0 Extraction

    eess.AS 2025-08 unverdicted novelty 4.0 of 10

    The abstract claims EGGCodec reduces F0 MAE from 14.14 Hz to 13.69 Hz, but the manuscript body omits the EGGCodec content entirely.

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