Fast reconstruction method of three-dimension model based on dual RGB-D cameras for peanut plant. [PDF]
Plant Methods, 2023 Background Plant shape and structure are important factors in peanut breeding research. Constructing a three-dimension (3D) model can provide an effective digital tool for comprehensive and quantitative analysis of peanut plant structure.
Liu Y, Yuan H, Zhao X, Fan C, Cheng M.
europepmc +2 more sources
A New Model of RGB-D Camera Calibration Based On 3D Control Field
Sensors, 2019 With extensive application of RGB-D cameras in robotics, computer vision, and many other fields, accurate calibration becomes more and more critical to the sensors. However, most existing models for calibrating depth and the relative pose between a depth
Chenyang Zhang, Teng Huang, Qiang Zhao
doaj +4 more sources
Obstacle Detection System for Agricultural Mobile Robot Application Using RGB-D Cameras. [PDF]
Sensors (Basel), 2021 Mobile robots designed for agricultural tasks need to deal with challenging outdoor unstructured environments that usually have dynamic and static obstacles.
Skoczeń M +6 more
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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.
Miguel Oliveira +4 more
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FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything. [PDF]
Sensors (Basel)In the realm of computer vision, the integration of advanced techniques into the pre-processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities arising from diverse environmental conditions and varying object ...
El Ghazouali S +4 more
europepmc +3 more sources
Detection of maize stem diameter by using RGB-D cameras' depth information under selected field condition. [PDF]
Front Plant SciStem diameter is a critical phenotypic parameter for maize, integral to yield prediction and lodging resistance assessment. Traditionally, the quantification of this parameter through manual measurement has been the norm, notwithstanding its tedious and ...
Zhou J +8 more
europepmc +2 more sources
COMPARISON BETWEEN RGB AND RGB-D CAMERAS FOR SUPPORTING LOW-COST GNSS URBAN NAVIGATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 A pure GNSS navigation is often unreliable in urban areas because of the presence of obstructions, thus preventing a correct reception of the satellite signal.
L. Rossi +5 more
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Visual Odometry for RGB-D Cameras [PDF]
CoRR, 2022 Visual odometry is the process of estimating the position and orientation of a camera analyzing the images associated to it. This paper develops a quick and accurate approach to visual odometry of a moving RGB-D camera navigating on a static environment.
Afonso Fontes, J. E. B. Maia
semanticscholar +4 more sources
3D Reconstruction with Mirrors and RGB-D Cameras
Proceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014 RGB-D cameras such as Microsoft's Kinect have found many application areas in robotics, 3D modelling and indoor vision due to their low-costs and ease of use. 3D reconstruction with RGB-D cameras is relatively more convenient because they provide RGB and depth data simultaneously for each image element. However, for a full 3D reconstruction of a scene,
Abdullah Akay, Yusuf Sinan Akgul
openaire +4 more sources
Reduced Calibration Strategy Using a Basketball for RGB-D Cameras
Mathematics, 2022 RGB-D cameras produce depth and color information commonly used in the 3D reconstruction and vision computer areas. Different cameras with the same model usually produce images with different calibration errors. The color and depth layer usually requires
Luis-Rogelio Roman-Rivera +5 more
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