Results 11 to 20 of about 14,435,990 (306)
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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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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Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey
Sensors, 2023 Learning about appearance embedding is of great importance for a variety of different computer-vision applications, which has prompted a surge in person re-identification (Re-ID) papers.
Md Kamal Uddin +4 more
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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012 Recently RGB-D sensors have become very popular in the area of Simultaneous Localisation and Mapping (SLAM). The major advantage of these sensors is that they provide a rich source of 3D information at relatively low cost. Unfortunately, these sensors in
Liang Zhao +9 more
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RGB-D video mirror detection [PDF]
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)Mirror detection aims to identify mirror areas in a scene, with recent methods either integrating depth information (RGB-D) or making use of temporal information (video).
Wu, Jing +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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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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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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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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