Results 41 to 50 of about 78,230 (294)
Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
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Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling
Sensors, 2016 RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including ...
Shengjun Tang +6 more
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Applied Sciences, 2022 A novel method for structural health monitoring (SHM) by using RGB+D data has been recently proposed. RGB+D data are created by fusing image and laser scan data, where the D channel represents the distance, interpolated from laser scanner data.
Josip Peroš +3 more
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Real-time RGB-D image stitching using multiple Kinects for improved field of view
International Journal of Advanced Robotic Systems, 2017 This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map.
Hengyu Li +6 more
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Mechanical System Control by RGB-D Device [PDF]
Machines, 2020 Computer vision for control is a growing domain of research and it is widespread in industry and the autonomous vehicle field. A further step is the employment of low-cost cameras to perform these applications. To apply such an approach, the development of proper algorithms to interpret vision data is mandatory. Here, we firstly propose the development
Cosenza C. +4 more
openaire +4 more sources
Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs
, 2017 Scene recognition with RGB images has been extensively studied and has reached very remarkable recognition levels, thanks to convolutional neural networks (CNN) and large scene datasets.
Herranz, Luis +2 more
core +1 more source
Robust alternating optimisation for extrinsic calibration of RGB‐D cameras
Electronics Letters, 2019 RGB‐depth (RGB‐D) cameras are widely used for 3D reconstruction or human–computer interaction. To simultaneously acquire colour and depth images of an object in widely separated viewpoints, multiple RGB‐D cameras are required.
J.W. Jang, Y.C. Kwon, W. Hwang, O. Choi
doaj +1 more source
, 2019 Fine-grained recognition task deals with sub-category classification problem, which is important for real-world applications. In this work, we are particularly interested in the segmentation task on the \emph{finest-grained} level, which is specifically named "individual segmentation".
Xu, Wenqiang +4 more
openaire +2 more sources
RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System
, 2017 Simultaneous Localization and Mapping using RGB-D cameras has been a fertile research topic in the latest decade, due to the suitability of such sensors for indoor robotics.
Civera, Javier, Concha, Alejo
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3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images
Sensors, 2021 Instance segmentation and object detection are significant problems in the fields of computer vision and robotics. We address those problems by proposing a novel object segmentation and detection system.
Xiaoke Shen, Ioannis Stamos
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