Depth Perception Data from Naturalistic Images with Simulated Blur

Featuring experimental data from a study examining depth perception in images of real scenes. The study manipulated pictorial depth cues, simulated dioptric blur, and binocular disparity, using light field photographs captured with a Lytro plenoptic camera capable of capturing images at up to 12 focal planes. Observers performed 2AFC tasks to indicate which of two patches extracted from these images was farther.

Use Cases

• Analyze the relationship between the presence of binocular disparity cues and depth discrimination sensitivity in 2AFC task data.
• Model the effect of simulated dioptric blur on the contrast of geometric information at high spatial frequencies.
• Compare depth perception performance across images with separately introduced pictorial cues, relative blur, and stereoscopic disparity.
• Investigate the potential for using data from the Lytro plenoptic camera's multiple focal planes to simulate accommodation.

Strengths

• Data originates from a controlled scientific study published in a peer-reviewed context.
• Images were captured using a Lytro plenoptic camera capable of capturing up to 12 focal planes simultaneously.
• The dataset is licensed under CC0-1.0, allowing for unrestricted use.

Limitations

• The specific data structure, column names, row count, and file formats are unknown from the provided input.
• The dataset's size and sample size for observer trials are not specified, limiting assessment of statistical power.
• The data is from a specific study with a defined methodology, which may limit generalizability to other visual perception contexts.

Provenance

Source

Dryad digital repository.

Collection Method

Data gathered from a controlled psychophysical experiment using light field photographs of natural scenes and 2AFC observer tasks.

Freshness

Last updated on 2020-06-24.