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- W3011885328 abstract "Recently, with the advent of depth sensors, various kinds of 3D object recognition tasks based on depth images and point clouds have been achieved. However, inexpensive sensors, such as the Kinect, often make accurate measurement difficult owing to the influence of noise. Moreover, in situations where high-accuracy measurements are required, expensive sensors must be selected, which restrict their practicality. Therefore, in this research, we propose a method to achieve high-precision depth measurements with information from a depth sensor mixed with multimodal noise distribution using a particle filter. Upon applying this method in a verification simulation with a real KinectV2 sensor, the accuracy could be improved to the resolution of a single pixel. The results proved the effectiveness of the proposed method into facilitating high-precision measurements with an inexpensive sensor." @default.
- W3011885328 created "2020-03-23" @default.
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- W3011885328 date "2020-01-01" @default.
- W3011885328 modified "2023-09-24" @default.
- W3011885328 title "Noise Removal of Depth Sensor Using Particle Filter" @default.
- W3011885328 doi "https://doi.org/10.1109/sii46433.2020.9026283" @default.
- W3011885328 hasPublicationYear "2020" @default.
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