Learning to see in depth: neural models of binocular stereopsis

Hunter, David (PI)

School of Psychology and Neuroscience

Project: Standard

Acronym	Learning to see in depth
Status	Finished
Effective start/end date	1/10/13 → 15/12/15

Funding

Biotechnology and Biological Sciences Research Council: £174,007.61

Encoding and estimation of first- and second-order binocular disparity in natural images
Hibbard, P. B., Goutcher, R. & Hunter, D. W., Mar 2016, In: Vision Research. 120, p. 108 - 120
Research output: Contribution to journal › Article › peer-review

Open Access
File
Ideal binocular disparity detectors learned using independent subspace analysis on binocular natural image pairs
Hunter, D. W. & Hibbard, P. B., 16 Mar 2016, In: PLoS One. 11, 3, 22 p., e0150117.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Distribution of independent components of binocular natural images
Hunter, D. W. & Hibbard, P. B., Sept 2015, In: Journal of Vision. 15, 6
Research output: Contribution to journal › Article › peer-review

Open Access
File

Data underpinning - Distribution of independent components of binocular natural images
Hunter, D. W. (Creator) & Hibbard, P. B. (Creator), GitHub, Sept 2015
https://github.com/DavidWilliamHunter
Dataset