no code implementations • 13 Dec 2023 • Jingwei Yang, Bohuan Xue, Yi Feng, Deming Wang, Rui Fan, Qijun Chen
This article introduces three-filters-to-normal+ (3F2N+), an extension of our previous work three-filters-to-normal (3F2N), with a specific focus on incorporating discontinuity discrimination capability into surface normal estimators (SNEs).
1 code implementation • 24 Apr 2023 • Yi Feng, Bohuan Xue, Ming Liu, Qijun Chen, Rui Fan
Surface normal holds significant importance in visual environmental perception, serving as a source of rich geometric information.
2 code implementations • 17 May 2020 • Rui Fan, Hengli Wang, Bohuan Xue, Huaiyang Huang, YuAn Wang, Ming Liu, Ioannis Pitas
To evaluate the performance of our proposed SNE, we created three large-scale synthetic datasets (easy, medium and hard) using 24 3D mesh models, each of which is used to generate 1800--2500 pairs of depth images (resolution: 480X640 pixels) and the corresponding ground-truth surface normal maps from different views.
no code implementations • 20 Nov 2019 • Umar Ozgunalp, Rui Fan, Shanshan Cheng, Yuxiang Sun, Weixun Zuo, Yilong Zhu, Bohuan Xue, Linwei Zheng, Qing Liang, Ming Liu
In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based on the estimated profile, the road area is segmented.