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WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture [PDF]
Sensors, 2023 Smart farming (SF) applications rely on robust and accurate computer vision systems. An important computer vision task in agriculture is semantic segmentation, which aims to classify each pixel of an image and can be used for selective weed removal ...
Florian Kitzler +4 more
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RGB-D Image Processing Algorithm for Target Recognition and Pose Estimation of Visual Servo System [PDF]
Sensors, 2020 This paper studies the control performance of visual servoing system under the planar camera and RGB-D cameras, the contribution of this paper is through rapid identification of target RGB-D images and precise measurement of depth direction to strengthen
Shipeng Li +4 more
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Robust 3D Hand Detection from a Single RGB-D Image in Unconstrained Environments [PDF]
Sensors, 2020 Three-dimensional hand detection from a single RGB-D image is an important technology which supports many useful applications. Practically, it is challenging to robustly detect human hands in unconstrained environments because the RGB-D channels can be ...
Chi Xu +5 more
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Applied Sciences, 2022 A novel method for structural health monitoring (SHM) by using RGB+D data has been recently proposed. RGB+D data are created by fusing image and laser scan data, where the D channel represents the distance, interpolated from laser scanner data.
Josip Peroš +3 more
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Enhancement of RGB-D Image Alignment Using Fiducial Markers [PDF]
Sensors, 2020 Three-dimensional (3D) reconstruction methods generate a 3D textured model from the combination of data from several captures. As such, the geometrical transformations between these captures are required.
Tiago Madeira +2 more
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Scene Recognition Based on Privilege Information and Attention Mechanism [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 In the scene recognition, RGB images present appearance information and depth image contains geometry information，which complement each other. In order to use the complementary information contained in the depth images and the RGB images in the test ...
SUN Ning +3 more
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Semantic RGB-D Image Synthesis
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 ICCV Workshop on Representation Learning with Very Limited Images ...
Shijie Li 0006, Rong Li, Juergen Gall
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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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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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RGB-D Image Saliency Detection Based on Multi-branch Backbone Supervised Network
Journal of Harbin University of Science and Technology, 2022 Aiming at the problem that the existing RGB-D image saliency detection technology is difficult to fully explore the effective information of depth image and can not effectively integrate RGB features and deep features, an RGB-D image saliency detection ...
WANG Wei-bing +2 more
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