Results 1 to 10 of about 64,265 (283)
Robust Texture Mapping Using RGB-D Cameras [PDF]
Sensors, 2021 The creation of a textured 3D mesh from a set of RGD-D images often results in textured meshes that yield unappealing visual artifacts. The main cause is the misalignments between the RGB-D images due to inaccurate camera pose estimations.
Miguel Oliveira +4 more
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Dynamic Pose Estimation Using Multiple RGB-D Cameras [PDF]
Sensors, 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 ...
Sungjin Hong, Yejin Kim
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Robust Extrinsic Calibration of Multiple RGB-D Cameras with Body Tracking and Feature Matching [PDF]
Sensors, 2021 RGB-D cameras have been commercialized, and many applications using them have been proposed. In this paper, we propose a robust registration method of multiple RGB-D cameras.
Sang-ha Lee +4 more
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A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patterns [PDF]
Sensors, 2019 This paper presents a novel method to estimate the relative poses between RGB-D cameras with minimal overlapping fields of view. This calibration problem is relevant to applications such as indoor 3D mapping and robot navigation that can benefit from a ...
Hang Liu +5 more
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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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Dense RGB-D SLAM with Multiple Cameras [PDF]
Sensors, 2018 A multi-camera dense RGB-D SLAM (simultaneous localization and mapping) system has the potential both to speed up scene reconstruction and to improve localization accuracy, thanks to multiple mounted sensors and an enlarged effective field of view.
Xinrui Meng, Wei Gao, Zhanyi Hu
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Multi-Cue-Based Circle Detection and Its Application to Robust Extrinsic Calibration of RGB-D Cameras [PDF]
Sensors, 2019 RGB-Depth (RGB-D) cameras are widely used in computer vision and robotics applications such as 3D modeling and human–computer interaction. To capture 3D information of an object from different viewpoints simultaneously, we need to use multiple RGB ...
Young Chan Kwon +3 more
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RGB-D Cameras and Brain–Computer Interfaces for Human Activity Recognition: An Overview [PDF]
SensorsThis paper provides a perspective on the use of RGB-D cameras and non-invasive brain–computer interfaces (BCIs) for human activity recognition (HAR). Then, it explores the potential of integrating both the technologies for active and assisted living. RGB-
Grazia Iadarola +4 more
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A Review of RGB-D Camera Calibration Methods [PDF]
Journal of Geodesy and Geoinformation Science, 2021 RGB-D camera is a new type of sensor, which can obtain the depth and texture information in an unknown 3D scene simultaneously, and they have been applied in various fields widely. In fact, when implementing such kinds of applications using RGB-D camera,
Chenyang ZHANG,Teng HUANG,Yueqian SHEN
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Depth-Adapted CNN for RGB-D Cameras [PDF]
, 2021 Conventional 2D Convolutional Neural Networks (CNN) extract features from an input image by applying linear filters. These filters compute the spatial coherence by weighting the photometric information on a fixed neighborhood without taking into account the geometric information. We tackle the problem of improving the classical RGB CNN methods by using
Zongwei Wu +3 more
openaire +3 more sources