Motion Parallax Improves Object Recognition in the Presence of Clutter in Simulated Prosthetic Vision.

ABSTRACT:

Purpose

Efficacy of current visual prostheses in object recognition is limited. Among various limitations to be addressed, such as low resolution and low dynamic range, here we focus on reducing the impact of background clutter on object recognition. We have proposed the use of motion parallax via head-mounted camera lateral scanning and computationally stabilizing the object of interest (OI) to support neural background decluttering. Simulations in head-mounted displays (HMD), mimicking the proposed effect, were used to test object recognition in normally sighted subjects.

Methods

Images (24° field of view) were captured from multiple viewpoints and presented at a low resolution (20 × 20). All viewpoints were centered on the OI. Experimental conditions (2 × 3) included clut

SUBMITTER: Qiu C 

PROVIDER: S-EPMC6205682 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature