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- W2977389945 abstract "Reconstruction of 3D objects and their application in practice is more and more studying. The input data are acquired from different devices and techniques. They are processed based on geometric modeling, image processing techniques, and computer graphics. The output data are 3D models that represent their initial shapes of the real-world objects. This paper presents research for reconstructing the 3D objects by using an RGB-D camera. The main contribution of the paper includes studying and analyzing several methods to reconstruct a 3D object from a set of 3D point clouds acquired from different devices. Our proposed method is then performed based on a combination of geometric modeling and images processing to build a 3D model of an object from a set of noisy 3D point clouds. We have also implemented and compared obtained results between the methods to determine the most suitable in term of precision and robustness on noisy real data captured by the Microsoft Kinect." @default.
- W2977389945 created "2019-10-10" @default.
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- W2977389945 date "2019-10-02" @default.
- W2977389945 modified "2023-09-24" @default.
- W2977389945 title "A Research for Reconstructing 3D Object by Using an RGB-D Camera" @default.
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- W2977389945 doi "https://doi.org/10.1007/978-981-13-9920-6_2" @default.
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