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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
openaire +3 more sources
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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Image retargeting using RGB-D camera
Multimedia Tools and Applications, 2014Forimage retargeting, most approaches only use color information to tackle this problem. In this paper, we analyze both color and depth information captured by a RGB-D camera to maintain the structure and preserve important regions. Particularly, we present a content-aware image retargeting algorithm based on depth information.
Wei-Yang Lin +3 more
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Fall Recovery Subactivity Recognition With RGB-D Cameras
IEEE Transactions on Industrial Informatics, 2016Accidental falls have been identified as a cause of mortality for elders who live alone around the globe. Following a fall, additional injury can be sustained if proper fall recovery techniques are not followed. These secondary complications can be reduced if the person had access to safe recovery procedures or were assisted, either by a person or a ...
Kalana Ishara Withanage +4 more
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Structure Selective Depth Superresolution for RGB-D Cameras
IEEE Transactions on Image Processing, 2016This paper describes a method for high-quality depth superresolution. The standard formulations of image-guided depth upsampling, using simple joint filtering or quadratic optimization, lead to texture copying and depth bleeding artifacts. These artifacts are caused by inherent discrepancy of structures in data from different sensors.
Youngjung Kim +3 more
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Towards an omnidirectional catadioptric RGB-D camera
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016In this paper we address the 3D reconstruction of points, on a non-central catadioptric system, composed by a mirror, a projector, and a perspective camera. The goal of the paper is to propose a framework to build an omnidirectional depth camera, towards an omnidirectional RGB-D camera system.
Jose Iglesias +2 more
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