Results 21 to 30 of about 119,156 (290)

Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling

open access: yesSensors, 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
doaj   +1 more source

A 3D Compensation Method for the Systematic Errors of Kinect V2

open access: yesRemote Sensing, 2021
To reduce the 3D systematic error of the RGB-D camera and improve the measurement accuracy, this paper is the first to propose a new 3D compensation method for the systematic error of a Kinect V2 in a 3D calibration field. The processing of the method is
Chang Li, Bingrui Li, Sisi Zhao
doaj   +1 more source

Robust 3D Reconstruction With an RGB-D Camera [PDF]

open access: yesIEEE 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

Real-time RGB-D camera relocalization [PDF]

open access: yes2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013
We introduce an efficient camera relocalization approach which can be easily integrated into real-time 3D reconstruction methods, such as KinectFusion. Our approach makes use of compact encoding of whole image frames which enables both online harvesting of keyframes in tracking mode, and fast retrieval of pose proposals when tracking is lost.
Ben Glocker   +3 more
openaire   +5 more sources

Research on SLAM Algorithm of Mobile Robot Based on the Fusion of 2D LiDAR and Depth Camera

open access: yesIEEE Access, 2020
This paper proposes a new Simultaneous Localization and Mapping (SLAM) method on the basis of graph-based optimization through the combination of the Light Detection and Ranging (LiDAR), RGB-D camera, encoder and Inertial Measurement Unit (IMU).
Lili Mu   +5 more
doaj   +1 more source

EXTRINSIC RGB-D CAMERA CALIBRATION FOR LEGGED ROBOTS [PDF]

open access: yesField Robotics, 2011
This paper describes a method to identify the extrinsic parameters of RGB-D cameras mounted on legged robots. Since the calculation of the parameters is based on the detection of the robots feet in the camera images, no special calibration objects are required. Therefore the method is simple to use and can even be applied automatically.
Höpflinger, Mark   +3 more
openaire   +2 more sources

On-Tree Mango Fruit Size Estimation Using RGB-D Images

open access: yesSensors, 2017
In-field mango fruit sizing is useful for estimation of fruit maturation and size distribution, informing the decision to harvest, harvest resourcing (e.g., tray insert sizes), and marketing. In-field machine vision imaging has been used for fruit count,
Zhenglin Wang   +2 more
doaj   +1 more source

Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision

open access: yesFrontiers in Neurorobotics, 2021
To provide stroke patients with good rehabilitation training, the rehabilitation robot should ensure that each joint of the limb of the patient does not exceed its joint range of motion.
Xusheng Wang   +5 more
doaj   +1 more source

DETECTING WALKABLE PLANE AREAS BY USING RGB-D CAMERA AND ACCELEROMETER FOR VISUALLY IMPAIRED PEOPLE [PDF]

open access: yes, 2017
When visually impaired person has to walk out, they have to use white canes, but the range that can be scanned by a white cane is not long enough to walk safely.
Imai Kenta   +4 more
core   +2 more sources

Dynamic Pose Estimation Using Multiple RGB-D Cameras [PDF]

open access: yesSensors, 2018
Human poses are difficult to estimate due to the complicated body structure and the self-occlusion problem. In this paper, we introduce a marker-less system for human pose estimation by detecting and tracking key body parts, namely the head, hands, and feet.
Sungjin Hong, Yejin Kim
openaire   +3 more sources

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