Results 11 to 20 of about 14,618,314 (310)
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
doaj +4 more sources
On 3D Reconstruction Using RGB-D Cameras
Digital, 2022 The representation of the physical world is an issue that concerns the scientific community studying computer vision, more and more. Recently, research has focused on modern techniques and methods of photogrammetry and stereoscopy with the aim of ...
George A Papakostas +2 more
exaly +4 more sources
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
doaj +4 more sources
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
doaj +3 more sources
Depth-Adapted CNN for RGB-D cameras [PDF]
Asian Conference on Computer Vision, 2020 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 ...
Zongwei Wu +3 more
semanticscholar +10 more sources
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
doaj +3 more sources
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
doaj +5 more sources
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
doaj +3 more sources
Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras [PDF]
IEEE Transactions on Robotics, 2017 Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications.
Filippo Basso +2 more
semanticscholar +7 more sources
A Fast and Robust Extrinsic Calibration for RGB-D Camera Networks [PDF]
Sensors, 2018 From object tracking to 3D reconstruction, RGB-Depth (RGB-D) camera networks play an increasingly important role in many vision and graphics applications. Practical applications often use sparsely-placed cameras to maximize visibility, while using as few
Po-Chang Su +4 more
doaj +4 more sources