Depth-Computations from Polyhedral Images
(1992) Computer Vision - ECCV '92. Second European Conference on Computer Vision Proceedings 588. p.378-386- Abstract
- A method is developed for the computation of depth maps, modulo scale, from one single image of a polyhedral scene. Only affine shape properties of the scene and image are used, hence no metrical information. Results from simple experiments show good performance, with exactness and robustness. It is also shown how the underlying theory may be used to single out and characterise certain singular situations that may occur in machine interpretation of line drawings
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/787478
- author
- Sparr, Gunnar LU
- organization
- publishing date
- 1992
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- polyhedral images, image processing, computer vision, depth maps, modulo scale, polyhedral scene, affine shape properties, exactness, robustness, machine interpretation, line drawings
- host publication
- Computer Vision - ECCV '92. Second European Conference on Computer Vision Proceedings
- editor
- Sandini, G.
- volume
- 588
- pages
- 378 - 386
- publisher
- Springer
- conference name
- Computer Vision - ECCV '92. Second European Conference on Computer Vision Proceedings
- conference location
- Santa Margherita Ligure, Italy
- conference dates
- 1992-05-18 - 1992-05-23
- external identifiers
-
- scopus:0343408280
- ISBN
- 3 540 55426 2
- language
- English
- LU publication?
- yes
- id
- 5d7658cd-c2a6-4cf6-84cb-bd01ed948f4e (old id 787478)
- date added to LUP
- 2016-04-04 11:37:10
- date last changed
- 2021-01-03 07:31:40
@inproceedings{5d7658cd-c2a6-4cf6-84cb-bd01ed948f4e, abstract = {{A method is developed for the computation of depth maps, modulo scale, from one single image of a polyhedral scene. Only affine shape properties of the scene and image are used, hence no metrical information. Results from simple experiments show good performance, with exactness and robustness. It is also shown how the underlying theory may be used to single out and characterise certain singular situations that may occur in machine interpretation of line drawings}}, author = {{Sparr, Gunnar}}, booktitle = {{Computer Vision - ECCV '92. Second European Conference on Computer Vision Proceedings}}, editor = {{Sandini, G.}}, isbn = {{3 540 55426 2}}, keywords = {{polyhedral images; image processing; computer vision; depth maps; modulo scale; polyhedral scene; affine shape properties; exactness; robustness; machine interpretation; line drawings}}, language = {{eng}}, pages = {{378--386}}, publisher = {{Springer}}, title = {{Depth-Computations from Polyhedral Images}}, volume = {{588}}, year = {{1992}}, }