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Introduction || Line segment || Ray || Collinear point || Angle || Angle measurment (i) Radius, (ii) Degree ||Type OF Angle, Acute & Obtuse angle, Complementr
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds [pose estimation; Tensorflow; ICRA] Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline [cls; PyTorch; ICML] PointCutMix: Regularization Strategy for Point Cloud Classification [cls; ...
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud [registration; Tensorflow] What Matters for 3D Scene Flow Network [scene flow; PyTorch] Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation [seg] Towards High-Fidelity Single-view Holistic Reconstr...
A line subsegment is a portion of a line segment that is represented by: (1) two endpoints with integer coordinates whose precision is 15 bits and (2) two parameter values. The parameter value for the intersection point between two line subsegments is calculated by computing the intersection ...
According to the positions of radioactive point source and detector, direction of a gamma ray from the radioactive point source to the detector can be simulated by line-segment. Download: Download high-res image (167KB) Download: Download full-size image Fig. 2. 3D ray/shield intersection ...
Manganese's addition, however, had no impact on the enzyme's activity. Cryo-electron microscopy at various pHs, X-ray crystallography, and biochemical and structural analysis were combined to reveal that NendoU can dynamically interconvert between open and closed conformations, potentially representing...
Change points are abrupt variations in time series data. Such abrupt changes may represent transitions that occur between states. Detection of change point
[Feature Line.] [arXiv] Local Grid Rendering Networks for 3D Object Detection in Point Clouds. [Detection.] [arXiv] Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. [Segmentation.] [arXiv] Accelerating 3D Deep Learning with PyTorch3D. [PyTorch3D....
SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back