Results 1 to 10 of about 78,230 (294)
Specificity-preserving RGB-D saliency detection
Computational Visual Media, 2023 Salient object detection (SOD) in RGB and depth images has attracted increasing research interest. Existing RGB-D SOD models usually adopt fusion strategies to learn a shared representation from RGB and depth modalities, while few methods explicitly ...
Tao Zhou +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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Uncertainty Inspired RGB-D Saliency Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 We propose the first stochastic framework to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D saliency detection models treat this task as a point estimation problem by predicting a single saliency map following a deterministic learning pipeline.
Zhang, Jing +6 more
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RGB-D salient object detection: A survey [PDF]
Computational Visual Media, 2021 Salient object detection (SOD), which simulates the human visual perception system to locate the most attractive object(s) in a scene, has been widely applied to various computer vision tasks. Now, with the advent of depth sensors, depth maps with affluent spatial information that can be beneficial in boosting the performance of SOD, can easily be ...
Zhou, Tao +4 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 FACE RECOGNITION USING LBP-DCT ALGORITHM [PDF]
Applied Computer Science, 2021 Face recognition is one of the applications in image processing that recognizes or checks an individual's identity. 2D images are used to identify the face, but the problem is that this kind of image is very sensitive to changes in lighting and various
Sunil Kumar B L, Sharmila Kumari M
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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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Object Recognition Algorithm Based on RGB Feature and Depth Feature Fusing [PDF]
Jisuanji gongcheng, 2016 Combining RGB image and depth image can effectively improve the RGB-D image recognition accuracy.However,prior researchers only do simple linear connect with the RGB image and depth features and do not extract and fuse the RGB and depth features ...
LU Liangfeng,XIE Zhijun,YE Hongwu
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Survey and Evaluation of RGB-D SLAM
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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