ArticleScientific data2017
A dataset of stereoscopic images and ground-truth disparity mimicking human fixations in peripersonal space.
Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Quantitative Assessment of Fixational Disparity Using a Binocular Eye-Tracking Technique in Children with Strabismus.Journal of eye movement research · 2025Article
- Transformations of sensory information in the brain suggest changing criteria for optimality.PLoS computational biology · 2024Article
- The Statistics of Eye Movements and Binocular Disparities during VR Gaming: Implications for Headset Design.ACM transactions on graphics · 2023Article
- Article
- Learning bio-inspired head-centric representations of 3D shapes in an active fixation setting.Frontiers in robotics and AI · 2022Article
- The saccade main sequence revised: A fast and repeatable tool for oculomotor analysis.Behavior research methods · 2021Article
- Near-optimal combination of disparity across a log-polar scaled visual field.PLoS computational biology · 2020Article
- A Geometric Theory Integrating Human Binocular Vision With Eye Movement.Frontiers in neuroscience · 2020Article
- Binocular Eye Movements Are Adapted to the Natural Environment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Depth variation and stereo processing tasks in natural scenes.Journal of vision · 2018Article
- The Active Side of Stereopsis: Fixation Strategy and Adaptation to Natural Environments.Scientific reports · 2017Article
Corrections and comments
- Commented on by
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Binocular stereopsis is the ability of a visual system, belonging to a live being or a machine, to interpret the different visual information deriving from two eyes/cameras for depth perception. From this perspective, the ground-truth information about three-dimensional visual space, which is hardly available, is an ideal tool both for evaluating human performance and for benchmarking machine vision algorithms. In the present work, we implemented a rendering methodology in which the camera pose mimics realistic eye pose for a fixating observer, thus including convergent eye geometry and cyclotorsion. The virtual environment we developed relies on highly accurate 3D virtual models, and its full controllability allows us to obtain the stereoscopic pairs together with the ground-truth depth and camera pose information. We thus created a stereoscopic dataset: GENUA PESTO-GENoa hUman Active fixation database: PEripersonal space STereoscopic images and grOund truth disparity. The dataset aims to provide a unified framework useful for a number of problems relevant to human and computer vision, from scene exploration and eye movement studies to 3D scene reconstruction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.