Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards Measuring of Depth Perception from Monocular Shadow Technique with Application in a Classical Painting
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems. (DIKO)
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems. (DIKO)ORCID iD: 0000-0003-4327-117X
2016 (English)In: Journal of Computers, ISSN 1796-203X, Vol. 11, 310-319 p.Article in journal (Refereed) Published
Abstract [en]

Depth perception is one of important abilities of the human visual system to perceive the three dimensional world. Shadow technique that offers different depth information from different viewing points, known as Da Vinci stereopsis, has been used in classical paintings. In this paper, we report a method towards measuring the relative depth information stimulated by Da Vinci stereopsis in a classical painting. We set up a positioning array of cameras for capturing images from the portrait using a high resolution camera, where the changes of shadow areas are measured by featuring the effects as point and line changes. The result shows that 3D effects of the classical painting are not only a perceptual phenomenon but they are also physically tangible and can be measured. We confirm validity of the method by its implementation even on a typical single image and comparison of results between the single image and the portrait.

Place, publisher, year, edition, pages
Oulo, Finland: Academic Publications, 2016. Vol. 11, 310-319 p.
Keyword [en]
Depth Perception, Da Vinci stereopsis, pictorial cues, classic painting, shadow technique
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:bth-11168ISI: 000378258000005OAI: oai:DiVA.org:bth-11168DiVA: diva2:881544
Conference
International Conference on Computer and Electrical Engineering (ICCEE), Paris
Available from: 2015-12-10 Created: 2015-12-10 Last updated: 2017-06-19Bibliographically approved

Open Access in DiVA

ICCEE2015(1367 kB)134 downloads
File information
File name FULLTEXT01.pdfFile size 1367 kBChecksum SHA-512
865123a06204198542797c5516c65448831800d905becf2a7ce98d02e2fb8337bf6355c97acae7c4e6932867a94cbe583a5143dfbd418be7598cb762ad6b32d6
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Wen, WeiKhatibi, Siamak
By organisation
Department of Communication Systems
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 134 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 138 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf