A dataset of stereoscopic images and ground-truth disparity mimicking human fixations in peripersonal space.
A dataset of stereoscopic images and ground-truth disparity mimicking human fixations in peripersonal space.
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DOI：
10.1038/sdata.2017.34
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发表时间：
2017-03-28
期刊：
影响因子：
9.8
通讯作者：
Sabatini SP
中科院分区：
文献类型：
--
作者：
Canessa A;Gibaldi A;Chessa M;Fato M;Solari F;Sabatini SP
双目立体视觉是属于生物或机器的视觉系统解释从两只眼睛/相机获得的不同视觉信息以用于深度感知的能力。从这个角度来看，关于三维视觉空间的地面实况信息（几乎不可用）是评估人类表现和基准机器视觉算法的理想工具。在目前的工作中，我们实现了一种渲染方法，其中的相机姿势模仿现实的眼睛姿势固定观察者，从而包括收敛的眼睛几何形状和旋转。我们开发的虚拟环境依赖于高度精确的3D虚拟模型，其完全可控性使我们能够获得立体对以及地面真实深度和相机姿态信息。因此，我们创建了一个立体数据集：GENUA PESTO-GeNoa hUman主动注视数据库：PEripersonal space立体图像和grOund truth disparity。该数据集旨在为人类和计算机视觉相关的许多问题提供一个统一的框架，从场景探索和眼动研究到3D场景重建。
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.