Results 91 to 100 of about 6,440,801 (359)
Sequential Point Clouds: A Survey
IEEE Transactions on Pattern Analysis and Machine IntelligenceSurvey paper on sequential point ...
Haiyan Wang, Yingli Tian
openaire +3 more sources
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data [PDF]
IEEE International Conference on Computer Vision, 2019 Deep learning techniques for point cloud data have demonstrated great potentials in solving classical problems in 3D computer vision such as 3D object classification and segmentation. Several recent 3D object classification methods have reported state-of-
M. Uy +4 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.Papain‐like protease from SARS‐CoV‐2 plays an important role in the cleavage of the viral polyproteins and in the suppression of the host's immune response. Here, we present the results of an NMR screening study. We identified 86 binding compounds, of which five candidates were chosen for in‐depth analysis.
Dennis J. Pyper +5 more
wiley +1 more source
A Registration Method Based on Ordered Point Clouds for Key Components of Trains
SensorsPoint cloud registration is pivotal across various applications, yet traditional methods rely on unordered point clouds, leading to significant challenges in terms of computational complexity and feature richness.
Kai Yang +5 more
doaj +1 more source
Point Cloud Framework for Rendering 3D Models Using Google Tango [PDF]
, 2017 This project seeks to demonstrate the feasibility of point cloud meshing for capturing and modeling three dimensional objects on consumer smart phones and tablets.
Callin, Julian, Chung, Maxen
core +1 more source
Automatic normal orientation in point clouds of building interiors
, 2019 Orienting surface normals correctly and consistently is a fundamental problem in geometry processing. Applications such as visualization, feature detection, and geometry reconstruction often rely on the availability of correctly oriented normals.
J Wang +5 more
core +1 more source
FEBS Open Bio, EarlyView.This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley +1 more source
Fast Registration of Point Cloud Based on Custom Semantic Extraction
Sensors, 2022 With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse ...
Jianing Wu +5 more
doaj +1 more source
Generalized Convolutional Neural Networks for Point Cloud Data
, 2017 The introduction of cheap RGB-D cameras, stereo cameras, and LIDAR devices has given the computer vision community 3D information that conventional RGB cameras cannot provide. This data is often stored as a point cloud.
Davis, Andrew +2 more
core +1 more source