机译:3D通过使用导向滤波来利用全球曲率和局部纹理来实现唯一图像的皮肤表面重建 2. Improved Iterative Closest Point(ICP) 3D point cloud registration algorithm based on point cloud filtering and adaptive fireworks for coarse registration [J] . Shi Xiaojing, Liu Tao, Han Xie International journal of ...
However, the raw point clouds acquired suffer inevitably from noise, which challenges their applications in 3D computer vision. In order to address this problem, we propose a novel feature-preserving filtering framework, termed Guided Normal Point Cloud Filter. First, we perform initial normal ...
Feature-preserving filtering of noisy point clouds plays a fundamental role in geometric processing. Though the guided filter is known to be a powerful tool for edge-aware image processing and mesh denoising, extending it to point clouds is not a trivial task due to the difficulty of defining a...
In addition to being able to “see” the dancer when they enter your virtual space, because the video has depth data, and because we implemented a depth filtering process which creates a dynamic mask around the mesh of the dancer, they are able to appear as if they are believably inside...
This process involves convolution filtering and pattern recognition to obtain a probabilistic location in clusters, which will provide prior probabilities used in Bayesian inference and the GMM, calculating covariance ellipses within each cluster. The neural networks used not only serve as priors in the...
To train our model as in the journal extension (anatomy-constrained optimization & anatomy-guided PL filtering with the Mean Teacher), execute python train_uda.py --gpu GPU --config-file ../configs/config_anat-mt_uda.yaml for training in the UDA setting. Training in the SFDA setting requir...
[158] Multiple feature fusion Location, Images Camera, LIDAR Real-life environment 3D object detection Lan et al. [78] Newton weight-based fusion Speed, location Loop detector, probe vehicle Simulation Speed prediction Lassoued et [44] Sequential Kalman filtering Location GPS, CAN-bus Real-life ...
However, low-pass filtering on Fourier analysis can- not effectively distinguish the high-frequency part of the re- quired signal from the high-frequency interference caused by noise. Wavelet can well retain the peak value and muta- tion part of th...
(OL43) according to the same count filtering steps as described above. We generated per-genome-base activity measurements by averaging the MPRA activity of each oligo that overlaps that base pair. We removed oligo genomic coordinates that overlap with those in the UKBB and GTEx libraries in ...
Optionally the method further comprises a step of filtering wherein the step of filtering comprises determining one or more images within the sub-set having a determined deviation below a threshold deviation, wherein the threshold deviation is determined based on whether the sub-set is categorised ...