A dataset of stereoscopic images and ground-truth disparity mimicking human fixations in peripersonal space.

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 a

SUBMITTER: Canessa A 

PROVIDER: S-EPMC5369322 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature