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Survey and Evaluation of RGB-D SLAM [PDF]
IEEE Access, 2021 The traditional visual SLAM systems take the monocular or stereo camera as input sensor, with complex map initialization and map point triangulation steps needed for 3D map reconstruction, which are easy to fail, computationally complex and can cause ...
Shishun Zhang, Longyu Zheng, Wenbing Tao
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RGB-D SLAM: A Review of Methods and Performance Trade-Offs for Different Requirements [PDF]
SensorsThe RGB-D (Red, Green, Blue plus Depth) camera is a widely used onboard sensor for Simultaneous Localization and Mapping (SLAM), as it captures RGB images and depth information simultaneously. This capability has made RGB-D SLAM a topic of broad research
Yixin Yan +4 more
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Evaluating the Reliability and Consistency of Treadmill Gait Analysis Using an RGB-D Camera: Effects of Assistance and No Assistance [PDF]
SensorsThis study aimed to assess the intraday reliability of markerless gait analysis using an RGB-D camera versus a traditional three-dimensional motion analysis (3DMA) system with and without a simulated walking assistant.
Yuichiro Hosoi +2 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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RGB-D SLAM with Structural Regularities [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 This work proposes a RGB-D SLAM system specifically designed for structured environments and aimed at improved tracking and mapping accuracy by relying on geometric features that are extracted from the surrounding. Structured environments offer, in addition to points, also an abundance of geometrical features such as lines and planes, which we exploit ...
Yanyan Li 0001 +4 more
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Computer Vision and Image Understanding, 2022 This paper was published at Computer Vision and Image Understanding.
Alexandre Lopes +2 more
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Object recognition methods based on RGB-D images
Xi'an Gongcheng Daxue xuebao, 2021 Object recognition is one of the main contents of machine vision research. RGB-D image, which integrates depth features, provides a new way for accuracy improving of object recognition.
Xun LI +5 more
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SUN RGB-D: A RGB-D scene understanding benchmark suite [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 Although RGB-D sensors have enabled major break-throughs for several vision tasks, such as 3D reconstruction, we have not attained the same level of success in high-level scene understanding. Perhaps one of the main reasons is the lack of a large-scale benchmark with 3D annotations and 3D evaluation metrics.
Shuran Song +2 more
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Adaptive RGB-D Localization [PDF]
2012 Ninth Conference on Computer and Robot Vision, 2012 The advent of RGB-D cameras which provide synchronized range and video data creates new opportunities for exploiting both sensing modalities for various robotic applications. This paper exploits the strengths of vision and range measurements and develops a novel robust algorithm for localization using RGB-D cameras.
Michael Paton, Jana Kosecka
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People detection in RGB-D Data [PDF]
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011 People detection is a key issue for robots and intelligent systems sharing a space with people. Previous works have used cameras and 2D or 3D range finders for this task. In this paper, we present a novel people detection approach for RGB-D data. We take inspiration from the Histogram of Oriented Gradients (HOG) detector to design a robust method to ...
Luciano Spinello, Kai Oliver Arras
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