Dense 3D SLAM in Dynamic Scenes Using Kinect

Author:

Bakkay Mohamed Chafik,Arafa Majdi,Zagrouba Ezzeddine

Publisher

Springer International Publishing

Reference14 articles.

1. Andersen, M., Jensen, T., Lisouski, P., Mortensen, A., Hansen, M., Gregersen, T., Ahrendt, P.: Kinect depth sensor evaluation for computer vision applications. Technical report ECE-TR-6, Department of Engineering, Aarhus University, Denmark (2012)

2. Bakkay, M., Zagrouba, E.: Spatio-temporal filter for dense real-time scene flow estimation of dynamic environment using a mobile rgb-d camera. Pattern Recogn. Lett. J. (Submitted) (2014)

3. Barhoumi, W., Bakkay, M., Zargouba, E.: Automated photo-consistency test for voxel colouring based on fuzzy adaptive hysteresis thresholding. IET 7, 713–724 (2013)

4. Bylow, E., Sturm, J., Kerl, C., Kahl, F., Cremers, D.: Real-time camera tracking and 3d reconstruction using signed distance functions. In: RSS Conference (2013)

5. Hadfield, S., Bowden, R.: Scene particles: Unregularized particle based scene flow estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36, 564–576 (2014)

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