DOI
stands for Digital Object Identifier
(
D
igital
O
bject
I
dentifier
)
,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
「
http://dx.doi.org/
」
before a DOI.
For instance, if the DOI of an article is
10.5297/ser.1201.002
, you can link persistently to the article by entering the following link in your browser:
http://dx.doi.org/
10.5297/ser.1201.002
。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration ( doi.airiti.com ) 。


- [1] J. Coughlan and A. Yuille. Manhattan world: compass direction from a single image by bayesian inference. In Conference on Computer Vision and Pattern Recognition, volume 2, pages 941-947 vol.2, 1999.
連結: - [3] D. Hoiem, A. A. Efros, and M. Hebert. Recovering surface layout from an image. In International Journal of Computer Vision, 2007.
連結: - [4] Tretiak E, Barinova O, Kohli P, Lempitsky V. Geometric image parsing in man-made environments. In International Journal of Computer Vision, 2011.
連結: - [5] H. Wang, S. Gould, and D. Koller. Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. In European Conference on Computer Vision, 2010.
連結: - [10] L. D. Pero, J. Bowdish, E. L. Hartley, B. Kermgard, K. Barnard. Understanding Bayesian rooms using composite 3D object models. In Conference on Computer Vision and Pattern Recognition, 2013.
連結: