Results 281 to 290 of about 14,618,314 (310)

Accurate Intrinsic and Extrinsic Calibration of RGB-D Cameras With GP-Based Depth Correction

IEEE Sensors Journal, 2019
In recent years, more and more robots have been equipped with low-cost RGB-D sensors, such as Microsoft Kinect and Intel Realsense, for safe navigation and active interaction with objects and people.
Guangda Chen, Guowei Cui, Zhongxiao Jin, Feng Wu, Xiaoping Chen   +4 more
semanticscholar   +1 more source

Real-time pose estimation with RGB-D camera

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012
An RGB-D camera is a sensor which outputs the distances to objects in a scene in addition to their RGB color. Recent technological advances in this area have introduced affordable devices in the robotics community. In this paper, we present a real-time feature extraction and pose estimation technique using the data from a single RGB-D camera.
Ivan Dryanovski, William Morris, Ravi Kaushik, Jizhong Xiao   +3 more
openaire   +2 more sources

Depth refinement for binocular kinect RGB-D cameras

2016 Visual Communications and Image Processing (VCIP), 2016
This paper presents a novel depth refinement framework for binocular Kinect RGB-D cameras for obtaining high quality depth map. Firstly, we build a binocular depth sensing system using two Kinect v2 cameras, and analyze the systematic error of the system from two aspects, i.e., camera interaction and intrinsic characteristics.
Jinghui Bai, Jing-Yu Yang 0002, Xinchen Ye, Chunping Hou   +3 more
openaire   +2 more sources

Physiological Function Assessment Based on RGB-D Camera

2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2018
With the growing of age, the decline of physiology would result in complications such as hypertension, cardiopathy and some other diseases if necessary measures are not followed. These risks can be greatly reduced if the aged people have access to physiological assessment.
Wenming Cao 0001, Jianqi Zhong, Guitao Cao, Zhiquan He   +3 more
openaire   +1 more source

Structure Selective Depth Superresolution for RGB-D Cameras

IEEE Transactions on Image Processing, 2016
This paper describes a method for high-quality depth superresolution. The standard formulations of image-guided depth upsampling, using simple joint filtering or quadratic optimization, lead to texture copying and depth bleeding artifacts. These artifacts are caused by inherent discrepancy of structures in data from different sensors.
Youngjung Kim, Bumsub Ham, Changjae Oh, Kwanghoon Sohn   +3 more
openaire   +4 more sources

Visualization of Temperature Change Using RGB-D Camera and Thermal Camera

2015
In this paper, we present a system for visualizing temperature changes in a scene using an RGB-D camera coupled with a thermal camera. This system has applications in the context of maintenance of power equipments. We propose a two-stage approach made of with an offline and an online phases.
Wataru Nakagawa, Kazuki Matsumoto, François de Sorbier, Maki Sugimoto, Hideo Saito 0001, Shuji Senda, Takashi Shibata 0001, Akihiko Iketani   +7 more
openaire   +1 more source

Semi-direct Tracking and Mapping with RGB-D Camera

2019
In this paper we present a novel semi-direct tracking and mapping approach for RGB-D cameras, which inherits the advantages of both direct and feature-based methods, and achieves high accuracy and robustness. The proposed method comprises three threads: tracking, local mapping and loop closing. In the tracking thread, the input RGB-D frames are tracked
Ke Liu, Xiaolin Gu, Min Yang, Yi Zhang, Shun Guan   +4 more
openaire   +1 more source

Semantic Object and Plane SLAM for RGB-D Cameras

2019
Simultaneous Localization And Mapping (SLAM) is a fundamental problem in mobile robotics as well as in virtual reality (VR) and augmented reality (AR). Traditional visual-SLAM systems, such as ORB-SLAM, deal with sparse features extracted from high gradient image regions.
Longyu Zheng, Wenbing Tao
openaire   +1 more source

Dense Frame-to-Model SLAM with an RGB-D Camera

2018
In this paper, a dense frame-to-model Simultaneous Localization And Mapping (SLAM) with an RGB-D camera is proposed, which achieves a more accurate trajectory in contrast to traditional frame-to-model methods. In the frontend, dense photometric information and geometric information are combined to perform a more robust tracking.
Xiaodan Ye, Jianing Li, Lianghao Wang, Dongxiao Li, Ming Zhang 0001   +4 more
openaire   +1 more source

Illumination Estimation and Relighting using an RGB-D Camera

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
In this paper, we propose a relighting system combined with an illumination estimation method using RGBD camera. Relighting techniques can achieve the photometric registration of composite images. They often need illumination environments of the scene which include a target object and the background scene.
Yohei Ogura, Takuya Ikeda, François de Sorbier, Hideo Saito 0001   +3 more
openaire   +2 more sources