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스테레오 깊이 영상의 신뢰도 추정 기술 동향

Kim, Seon-Ok (한국항공대학교)

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Broadcasting and Media Magazine / v.27, no.2, 2022 , pp. 35-42 More about this Journal

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Times Cited By KSCI : 3 (Citation Analysis)

Reference
Cited By KSCI

1	X. Hu and P. Mordohai, "A quantitative evaluation of confi- dence measures for stereo vision," IEEE Trans. Pattern Anal. Mach. Intell, 2012.
2	R. Haeusler, R. Nair, and D. Kondermann. "Ensemble learning for confidence measrues in stereo vision," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2013.
3	M. Park and K. Yoon, "Leveraging stereo matching with learning-based confidence measures," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2015.
4	M. Poggi, S. Kim, F. Tosi, S. Kim, F. Aleotti, D. Min, K. Sohn, and S. Mattoccia, "On the confidence of stereo matching in a deep-learning era: a quantitative evaluation, IEEE Trans. Pattern Anal. Mach. Intell, 2022.
5	A. Krizhevsky, S. Ilya, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, 2012.
6	K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," In Proceedings of the IEEE conference on computer vision and pattern recognition, 2016.
7	M. Poggi and S. Mattoccia, "Learning from scratch a confidence measure," in Proc. Brit. Mach. Vis. Conf., 2016.
8	S. Kim, D. Min, B. Ham, S. Kim, and K. Sohn, "Deep stereo confidence prediction for depth estimation," in Proc. IEEE Conf. Image. Process., 2017.
9	S. Kim, S. Kim, D. Min, and K. Sohn, "Laf-net: Locally adaptive fusion networks for stereo confidence estimation," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
10	M. Menze and A. Geiger, "Object scene flow for autonomous vehicles. in Proc. IEEE Conf. Comput. Vis. Pattern Recognition, 2015.
11	D. Scharstein, H. Hirschmuller, Y. Kitajima, G. Krathwohl, N. Nesic, X. Wang, and P. Westling, "High-resolution stereo datasets with subpixel-accurate ground truth," in Proc. German Conf. Pattern Recognit., 2014.
12	J. Zbontar and Y. LeCun, "Computing the stereo matching cost with a convolutional neural network," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2015.