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Dataset of RGB-D images of object collections from multiple viewpoints with aligned high-resolution 3D models of objects. [PDF]
Data BriefSong X, Li M, Banerjee S, Banerjee NK.
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Multimodal Person Reidentification Using RGB-D Cameras
IEEE Transactions on Circuits and Systems for Video Technology, 2016Person reidentification consists of recognizing individuals across different sensors of a camera network. Whereas clothing appearance cues are widely used, other modalities could be exploited as additional information sources, like anthropometric measures and gait.
PALA, FEDERICO +3 more
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RGB-D DSO: Direct Sparse Odometry With RGB-D Cameras for Indoor Scenes
IEEE Transactions on Multimedia, 2022Visual odometry (VO) is a fundamental building block for many robotics and augmented reality (AR) applications. However, most existing RGB-D VO systems could suffer from large performance degradation when large occlusions are present or a large portion of depth values are invalid due to the limited range of an RGB-D camera, prohibiting the usage of ...
Zikang Yuan +3 more
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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
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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
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Visual SLAM using multiple RGB-D cameras
2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015In this paper, we present a solution to visual simultaneous localization and mapping (SLAM) using multiple RGB-D cameras. In the SLAM system, we integrate visual and depth measurements from those RGB-D cameras to achieve more robust pose tracking and more detailed environmental mapping in unknown environments.
Shaowu Yang +4 more
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Visual SLAM with RGB-D Cameras
2019 Chinese Control Conference (CCC), 2019This 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. Firstly, two types of RGB-D cameras are introduced according to the principle of depth measurement. Secondly, the typical RGB-D SLAM
Qiongyao Jin +3 more
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Wound measurement by RGB-D camera
Machine Vision and Applications, 2018The 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.
Nyarko, Emmanuel Karlo +2 more
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