Results 41 to 50 of about 14,618,314 (310)
Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars [PDF]
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2022 Human identification is a key requirement for many applications in everyday life, such as personalized services, automatic surveillance, continuous authentication, and contact tracing during pandemics, etc.
Dongjiang Cao +5 more
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TIMA SLAM: Tracking Independently and Mapping Altogether for an Uncalibrated Multi-Camera System
Sensors, 2021 We present a novel simultaneous localization and mapping (SLAM) system that extends the state-of-the-art ORB-SLAM2 for multi-camera usage without precalibration.
Omer Faruk Ince, Jun-Sik Kim
doaj +1 more source
ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras [PDF]
IEEE Transactions on robotics, 2016 We present ORB-SLAM2, a complete simultaneous localization and mapping (SLAM) system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and relocalization capabilities. The system works in real time on standard central processing
Raul Mur-Artal, J. D. Tardós
semanticscholar +1 more source
High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
Computational Visual Media, 2022 High-quality 3D reconstruction is an important topic in computer graphics and computer vision with many applications, such as robotics and augmented reality. The advent of consumer RGB-D cameras has made a profound advance in indoor scene reconstruction.
Jianwei Li +4 more
semanticscholar +1 more source
Localization using RGB-D cameras orthoimages [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 3D cameras are a new generation of sensors more and more used in geomatics. The main advantages of 3D cameras are their handiness, their price, and the ability to produce range images or point clouds in real-time. They are used in many areas and the use
M.-A. Mittet, T. Landes, P. Grussenmeyer
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ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2019 Mapping and localization are essential capabilities of robotic systems. Although the majority of mapping systems focus on static environments, the deployment in real-world situations requires them to handle dynamic objects.
Emanuele Palazzolo +4 more
semanticscholar +1 more source
Robust 3D Reconstruction With an RGB-D Camera [PDF]
IEEE Transactions on Image Processing, 2014 We present a novel 3D reconstruction approach using a low-cost RGB-D camera such as Microsoft Kinect. Compared with previous methods, our scanning system can work well in challenging cases where there are large repeated textures and significant depth missing problems.
Kangkan Wang +2 more
openaire +2 more sources
Sensors, 2022 RGB-D cameras have become common in many research fields since these inexpensive devices provide dense 3D information from the observed scene. Over the past few years, the RealSense™ range from Intel® has introduced new, cost-effective RGB-D sensors with
Eva Curto, Helder Araujo
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Proposing UGV and UAV Systems for 3D Mapping of Orchard Environments
Sensors, 2022 During the last decades, consumer-grade RGB-D (red green blue-depth) cameras have gained popularity for several applications in agricultural environments. Interestingly, these cameras are used for spatial mapping that can serve for robot localization and
Aristotelis C. Tagarakis +5 more
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Fruit recognition method for a harvesting robot with RGB-D cameras
ROBOMECH Journal, 2022 In this study, we present a recognition method for a fruit-harvesting robot to automate the harvesting of pears and apples on joint V-shaped trellis. It is necessary to recognize the three-dimensional position of the harvesting target for harvesting by ...
Takeshi Yoshida, T. Kawahara, T. Fukao
semanticscholar +1 more source