PERFORMANCE ANALYSIS OF A LOW-COST TRIANGULATION-BASED 3D CAMERA: MICROSOFT KINECT SYSTEM

11 citations as recorded by crossref.

1. Passive depth estimation using chromatic aberration and a depth from defocus approach P. Trouvé et al. https://doi.org/10.1364/AO.52.007152
2. Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling E. Lachat et al. https://doi.org/10.3390/rs71013070
3. Simulating Kinect Infrared and Depth Images M. Landau et al. https://doi.org/10.1109/TCYB.2015.2494877
4. Estimating Pavement Roughness by Fusing Color and Depth Data Obtained from an Inexpensive RGB-D Sensor A. Mahmoudzadeh et al. https://doi.org/10.3390/s19071655
5. Evaluating Lower Limb Kinematics Using Microsoft’s Kinect: A Simple, Novel Method Y. Haimovich et al. https://doi.org/10.3138/ptc-2020-0051
6. A New Model of RGB-D Camera Calibration Based on 3D Control Field C. Zhang et al. https://doi.org/10.3390/s19235082
7. UWB Radar SLAM: An Anchorless Approach in Vision Denied Indoor Environments H. Premachandra et al. https://doi.org/10.1109/LRA.2023.3293354
8. Predicting User’s Measurements without Manual Measuring: A Case on Sports Garment Applications J. Vleugels et al. https://doi.org/10.3390/app121910158
9. Accurate tomato fruit measurement via parallax-based binocular vision and deep learning detection T. Weng et al. https://doi.org/10.1590/1678-992x-2024-0310
10. Photogrammetric Bundle Adjustment With Self-Calibration of the PrimeSense 3D Camera Technology: Microsoft Kinect J. Chow & D. Lichti https://doi.org/10.1109/ACCESS.2013.2271860
11. Design and Development of a Low-Cost Vision-Based 6 DoF Assistive Feeding Robot for the Aged and Specially-Abled People P. Parikh et al. https://doi.org/10.1080/03772063.2023.2173665