Results 11 to 20 of about 78,230 (294)
3D camouflaging object using RGB-D sensors [PDF]
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017 This paper proposes a new optical camouflage system that uses RGB-D cameras, for acquiring point cloud of background scene, and tracking observers eyes. This system enables a user to conceal an object located behind a display that surrounded by 3D objects.
Siddek, Ahmed M. +2 more
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Robust 3D Hand Detection from a Single RGB-D Image in Unconstrained Environments
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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WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture
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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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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Computer Vision and Image Understanding, 2022 This paper was published at Computer Vision and Image Understanding.
Alexandre Lopes +2 more
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An Efficient RGB-D Scene Recognition Method Based on Multi-Information Fusion
IEEE Access, 2020 RGB-D scene recognition is a challenging problem due to lack of RGB-D datasets and inefficient RGB-D fusion. In this paper, we exploit several factors that affect the RGB-D scene recognition performance, including the representations of the RGB-D data ...
Wenjuan Gong, Bin Zhang, Xin Li
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Robust Texture Mapping Using RGB-D Cameras [PDF]
Sensors, 2021 The creation of a textured 3D mesh from a set of RGD-D images often results in textured meshes that yield unappealing visual artifacts. The main cause is the misalignments between the RGB-D images due to inaccurate camera pose estimations. While there are many works that focus on improving those estimates, the fact is that this is a cumbersome problem,
Miguel Oliveira +4 more
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Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation
Sensors, 2019 Vineyard yield estimation provides the winegrower with insightful information regarding the expected yield, facilitating managerial decisions to achieve maximum quantity and quality and assisting the winery with logistics.
Chris Hacking +3 more
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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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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 ...
Li, Shijie, Li, Rong, Gall, Juergen
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