Ground surface segmentation for navigation with a low resolution visual prosthesis

Christopher McCarthy; Nick Barnes; Paulette Lieby

doi:10.1109/IEMBS.2011.6091105

Ground surface segmentation for navigation with a low resolution visual prosthesis

Christopher McCarthy, Nick Barnes, Paulette Lieby

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) proceedings
Place of Publication	Unknown
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Edition	Peer Reviewed
DOIs	https://doi.org/10.1109/IEMBS.2011.6091105
Publication status	Published - 2011
Event	IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2011) - Boston USA Duration: 1 Jan 2011 → …

Conference

Conference	IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2011)
Period	1/01/11 → …
Other	August 30-September 3 2011

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10.1109/IEMBS.2011.6091105

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@inproceedings{31c9a63814f94d2fb01510ed5170880e,

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.",

author = "Christopher McCarthy and Nick Barnes and Paulette Lieby",

year = "2011",

doi = "10.1109/IEMBS.2011.6091105",

language = "English",

pages = "1--4",

booktitle = "Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

edition = "Peer Reviewed",

note = "IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2011) ; Conference date: 01-01-2011",

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McCarthy, C, Barnes, N & Lieby, P 2011, Ground surface segmentation for navigation with a low resolution visual prosthesis. in Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) proceedings. Peer Reviewed edn, Institute of Electrical and Electronics Engineers Inc., Unknown, pp. 1-4, IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2011), 1/01/11. https://doi.org/10.1109/IEMBS.2011.6091105

Ground surface segmentation for navigation with a low resolution visual prosthesis. / McCarthy, Christopher; Barnes, Nick; Lieby, Paulette.
Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) proceedings. Peer Reviewed. ed. Unknown: Institute of Electrical and Electronics Engineers Inc., 2011. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - McCarthy, Christopher

AU - Barnes, Nick

AU - Lieby, Paulette

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

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DO - 10.1109/IEMBS.2011.6091105

M3 - Conference contribution

SP - 1

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BT - Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Unknown

T2 - IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2011)

Y2 - 1 January 2011

ER -

Ground surface segmentation for navigation with a low resolution visual prosthesis

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