Classification images for aerial images capture visual expertise for binocular disparity and a prior for lighting from above-Reference-Cited by-同舟云学术

Classification images for aerial images capture visual expertise for binocular disparity and a prior for lighting from above

Author:

Skog Emil¹²³⁴,Meese Timothy S.²⁵,Sargent Isabel M. J.⁶⁷⁸,Ormerod Andrew⁶⁹,Schofield Andrew J.¹²¹⁰

Affiliation:

1. School of Psychology, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, UK

2. Aston Laboratory for Immersive Virtual Environments, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, UK

3. Department of Health, Learning and Technology, Luleå University of Technology, Luleå, Sweden

4. emil.skog@associated.ltu.se

5. t.s.meese@aston.ac.ukhttps://research.aston.ac.uk/en/persons/tim-s-meese

6. Ordnance Survey, Adanac Drive, Southampton, SO16 0AS, UK

7. Electronics and Computer Science, University of Southampton, University Road, Southampton, SO17 1BJ, UK

8. i.sargent@soton.ac.ukhttp://www.os.uk/

9. andrew.ormerod@os.ukhttp://www.os.uk/

10. a.schofield@aston.ac.ukhttps://research.aston.ac.uk/en/persons/andrew-schofield

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference92 articles.

3. Observer efficiency in free-localization tasks with correlated noise;Abbey;Frontiers in Psychology,,2014