title: Ground surface segmentation for navigation with a low resolution visual prosthesis.
abstract: We propose the use of ground surface segmentation to enhance the perception of obstacles in low to medium resolution prosthetic visual representations. We apply a recently proposed algorithm for segmenting traversable space in stereo disparity data, and show how such a scheme may be utilised to enhance the distinction between the ground surface and obstructions (in particular, small trip hazards). Qualitative comparisons with intensity and straight depth-based representations highlight advantages for the visualisation of obstacles, offering potential gains for visual navigation with low resolution and low dynamic range visual prostheses.
authors.affiliation: NICTA Canberra Research Laboratory, Canberra ACT, Australia.
authors.forename: Chris
authors.initials: C
authors.lastname: McCarthy
authors.forename: Nick
authors.initials: N
authors.lastname: Barnes
authors.forename: Paulette
authors.initials: P
authors.lastname: Lieby
mesh_terms: D000465:Algorithms; D006801:Humans; D057488:Visual Prosthesis