Self-supervised learning for RGB-guided depth enhancement by exploiting the dependency between RGB and depth
J Wang, P Liu, F Wen - IEEE Transactions on Image Processing, 2022 - ieeexplore.ieee.org
Due to the imaging mechanism of time-of-flight (ToF) sensors, the captured depth images
usually suffer from severe noise and degradation. Though many RGB-guided methods have …
usually suffer from severe noise and degradation. Though many RGB-guided methods have …
Construction of Robot Computer Image Segmentation Model Based on Partial Differential Equation
Q Zhang - Journal of Sensors, 2022 - Wiley Online Library
The application of partial differential equation in robot computer image smoothing and
image segmentation based on curve evolution is studied to achieve the breakthrough and …
image segmentation based on curve evolution is studied to achieve the breakthrough and …
Multipath Interference Suppression of Amplitude-Modulated Continuous Wave Coaxial-Scanning LiDAR Using Model-based Synthetic Data Learning
This article proposes a novel model-based synthetic data learning approach to suppress the
multipath interference (MPI) in the amplitude-modulated continuous wave (AMCW) coaxial …
multipath interference (MPI) in the amplitude-modulated continuous wave (AMCW) coaxial …
Multipath Interference Suppression of Amplitude-Modulated Continuous Wave Scanning LiDAR Based on Bayesian-Optimized XGBoost Ensemble
S Lee, Y Lim, W Kwon, Y Park - arXiv preprint arXiv:2211.03381, 2022 - arxiv.org
This paper proposes a novel multipath interference (MPI) suppression algorithm based on
Bayesian-optimized extreme gradient boosting (XGBoost) ensemble to reduce MPI error in …
Bayesian-optimized extreme gradient boosting (XGBoost) ensemble to reduce MPI error in …