그림 1. 제안하는 깊이영상 생성 모델
그림 2. 제안하는 Xception 모듈의 순서도
그림 3. 제안하는 ASPP 모듈의 순서도
그림 4. 제안하는 3차원 깊이 비용 모듈의 순서도
그림 5.각 모델을 통해 생성한 깊이영상의 오류화소
그림 6. 각 모델을 통해 생성한 깊이영상의 오류화소
표 1. 깊이영상 생성 결과 오류 극단치 비교
표 2. KITTI 깊이영상 생성 시 장당 수행시간 비교 (s)
References
- ISO/IEC JTC1/SC29/WG11, "Appolication and Requirements on FTV," N9466, 2007.
- C. Stentoumis, L. Grammatikopulos, I. Kalisperakis, and G. Karras, "On accurate dense stereo-matching using a local adaptive multi-cost approach," ISPRS J. of Photogrammetry and Remote Sensing, Vol. 91, pp. 29-49, 2014. https://doi.org/10.1016/j.isprsjprs.2014.02.006
- A. Miron, S. Ainouz, A. Rogozan, and A. Bensrhair, "A robust cost function for stereo matching of road scenes," Pattern Recognition Letters, Vol. 38, pp. 70-77, 2014. https://doi.org/10.1016/j.patrec.2013.11.009
- C. Stentoumis, L. Grammatikopoulos, I. Kalisperakis, and G. Karras, "Stereo matching based on census transformation of image gradients," in Proceeding of the SPIE Optical Metrology, International Society for Optics and Photonics, 2015.
- J. Zbontar and Y. Lecun, "Stereo matching by training a convolutional neural network to compare image patches," International J. of Machine Learning Research, Vol. 17, pp. 1-32, 2016.
- A. Kendall, H. Martirosyan, S. Dasgupta, P. Henry, R. Kennedy, A. Bachrach, and A. Bry, "End-to-end learning of geometry and context for deep stereo regression," in Proceeding of the IEEE International Conference on Computer Vision(ICCV), pp. 1-8, 2017.
- J. R. Chang and Y. S. Chen, "Pyramid Stereo Matching Network," in Proceeding of the IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 5410-5418, 2018.
- K. He, X. Zhang, S. Ren, and J. Sun, "Spatial pyramid pooling in deep convolutional networks for visual recognition," in European Conference on Computer Vision, pp. 346-361, 2014.
- F. Chollet, "Xception : Deep Learning with Depthwise Separable Convolutions," in Proceeding of the IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2017.
- L. C. Chen, G. Papandreou, L. Kokkinos, K. Murphy, and A. L. Yuille, "DeepLab : Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs," in Proceeding of the IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2016.
- A. Newell, K. Yang, and J. Deng, "Stacked hourglass networks for human pose estimation," in European Conference on Computer Vision, pp. 483-499, 2016.
- N. Mayer, E. Ilg, P. Hausser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox, "A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation," in Proceeding of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
- M. Menze and A. Geiger, "Object Scene Flow for Autonomous Vehicles," in Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2015.