Results 251 to 260 of about 14,618,314 (310)
Some of the next articles are maybe not open access.

State of the Art on 3D Reconstruction with RGB‐D Cameras

Computer Graphics Forum, 2018
The advent of affordable consumer grade RGB‐D cameras has brought about a profound advancement of visual scene reconstruction methods. Both computer graphics and computer vision researchers spend significant effort to develop entirely new algorithms to ...
M. Zollhöfer   +6 more
semanticscholar   +3 more sources

Dense visual SLAM for RGB-D cameras [PDF]

open access: yes2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
In this paper, we propose a dense visual SLAM method for RGB-D cameras that minimizes both the photometric and the depth error over all pixels. In contrast to sparse, feature-based methods, this allows us to better exploit the available information in the image data which leads to higher pose accuracy.
C. Kerl, J. Sturm, D. Cremers
semanticscholar   +3 more sources

Robust odometry estimation for RGB-D cameras [PDF]

open access: yes2013 IEEE International Conference on Robotics and Automation, 2013
The goal of our work is to provide a fast and accurate method to estimate the camera motion from RGB-D images. Our approach registers two consecutive RGB-D frames directly upon each other by minimizing the photometric error. We estimate the camera motion using non-linear minimization in combination with a coarse-to-fine scheme.
C. Kerl, J. Sturm, D. Cremers
semanticscholar   +2 more sources

Visual SLAM with RGB-D Cameras

2019 Chinese Control Conference (CCC), 2019
This paper focuses on visual SLAM with RGB-D cameras (abbreviated as RGB-D SLAM), which has been an actively studied issue in the robotics community since RGB-D cameras can obtain depth information of environments simply.
Qiongyao Jin   +3 more
semanticscholar   +2 more sources

Practical and accurate calibration of RGB-D cameras using spheres

open access: yesComputer Vision and Image Understanding, 2015
International audienceRGB-Depth (or RGB-D) cameras are increasingly being adopted in robotic and vision applications, including mobile robot localization and mapping, gesture recognition, and at-home healthcare monitoring.
Fabio Morbidi, Aaron N Staranowicz
exaly   +2 more sources

Depth Error Elimination for RGB-D Cameras

ACM Transactions on Intelligent Systems and Technology, 2015
The rapid spreading of RGB-D cameras has led to wide applications of 3D videos in both academia and industry, such as 3D entertainment and 3D visual understanding. Under these circumstances, extensive research efforts have been dedicated to RGB-D camera--oriented topics.
Dai Qionghai, You Yang
exaly   +3 more sources

Hybrid Uncalibrated Visual Servoing Control of Harvesting Robots With RGB-D Cameras

IEEE transactions on industrial electronics (1982. Print), 2023
Visual servoing (VS) control has seen wide adoption in harvesting robots. However, parameter calibration is cumbersome, which makes the use of VS robotic systems inconvenient.
Tao Li   +3 more
semanticscholar   +1 more source

Consumer-Grade RGB-D Cameras

2020
A new family of affordable active 3D imaging systems referred to as range cameras or RGB-D cameras has emerged in the last decade. These systems operate in the range of 0.4–10 m and are targeted directly at cost-sensitive consumers. They are typically specialized for capturing dynamic human activities and are designed to interfere only minimally with ...
Drouin, Marc-Antoine, Seoud, Lama
openaire   +3 more sources

A catadioptric extension for RGB-D cameras

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
The typically restricted field of view of visual sensors often imposes limitations on the performance of localization and simultaneous localization and mapping (SLAM) approaches. In this paper, we propose and analyze the combination of an RGB-D camera with two planar mirrors to split the field of view such that it covers both front and rear view of a ...
Felix Endres   +3 more
openaire   +1 more source

Wound measurement by RGB-D camera

Machine Vision and Applications, 2018
The robot and computer vision community has seen a lot of novelties developed in the past few years as a result of the appearance of cheap RGB-D sensors spearheaded by the Kinect sensor. In this paper, the feasibility of using an RGB-D camera in detecting, segmenting, reconstructing and measuring chronic wounds in 3D is explored.
Damir Filko   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy