On the confidence of stereo matching in a deep-learning era: a quantitative evaluation-Reference-Cited by-同舟云学术

On the confidence of stereo matching in a deep-learning era: a quantitative evaluation

Published:2021 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Poggi Matteo¹,Kim Seungryong²,Tosi Fabio³,Kim Sunok⁴,Aleotti Filippo⁵,Min Dongbo⁶,Sohn Kwanghoon⁷,Mattoccia Stefano⁸

Affiliation:

1. Department of Computer Science and Engineering (DISI), Universita degli Studi di Bologna Dipartimento di Informatica Scienza e Ingegneria, 166478 Bologna, Bologna, Italy, 40136 (e-mail: m.poggi@unibo.it)

2. Department of Computer Science and Engineering, Yonsei University, Seoul, Seodaemun-Gu, Korea (the Republic of), (e-mail: seungryong_kim@korea.ac.kr)

3. Computer Science and Engineering, Universita degli Studi di Bologna Dipartimento di Informatica Scienza e Ingegneria, 166478 Bologna, Italy, Italy, (e-mail: fabio.tosi5@unibo.it)

4. School of Electrical and Electronic Engineering, Korea University, 34973 Seongbuk-gu, Seoul, Korea (the Republic of), (e-mail: kso428@yonsei.ac.kr)

5. Department of Computer Science and Engineering (DISI), Universita degli Studi di Bologna Dipartimento di Informatica Scienza e Ingegneria, 166478 Bologna, Bologna, Italy, (e-mail: filippo.aleotti2@unibo.it)

6. the Department of Computer Science and Engineering, Ewha Womans University, 26717 Seoul, Seoul, Korea (the Republic of), 03760 (e-mail: dbmin@ewha.ac.kr)

7. School of Electrical and Electronic Engineering, Yonsei University, Seoul, Seodaenum-Gu, Korea (the Republic of), (e-mail: khsohn@yonsei.ac.kr)

8. Department of Computer Science and Engineering, University of Bologna, Bologna, -- Please Select (only U.S. / Can / Aus), Italy, 40136 (e-mail: stefano.mattoccia@unibo.it)

Funder

Institute for Information and Communications Technology Promotion

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09394777.pdf?arnumber=9394777

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