stands for Digital Object Identifier
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/」
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 ） 。
吳思憲 , Ph.D Advisor：陳良基
英文 DOI： 10.6342/NTU202100275
雙視角匹配 ； 深度偵測 ； 超大型積體電路(VLSI)架構設計 ； 磚塊式信心傳遞演算法 ； 高硬體效能架構 ； 高記憶體效能架構 ； 權重眾數濾波器 ； 權重中位數濾波器 ； Belief propagation media (BP-M) ； tile-based belief propagation ； memory efficient architecture ； stereo matching ； disparity estimations ； VLSI architecture design ； Weight median filter ； Weighted mode filter
-  M. Menze and A. Geiger, "Object scene flow for autonomous vehicles," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 3061-3070.
-  J. Sun, N.-N. Zheng, and H.-Y. Shum, "Stereo matching using belief propagation," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 25, no. 7, pp. 787-800, July 2003.
-  P. F. Felzenszwalb and D. P. Huttenlocher, "Efficient belief propagation for early vision," International Journal of Computer Vision (IJCV), vol. 70, no. 1, pp. 41-54, 2006.
-  C. Cheng, C. Liang, Y. Lai, H. Chen, and L. Chen, "Fast belief propagation process element for high-quality stereo estimation," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2009, pp. 745-748.
-  H. Chen, C. Huang, S. Wu, C. Hung, T. Ma, and L. Chen, "23.2 a 1920x1080 30fps 611 mw five-view depth-estimation processor for light-field applications," in IEEE International Solid State Circuits Conference (ISSCC), Feb 2015, pp. 1-3.
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