Acknowledgement
본 논문은 2021년도 BB21+ 사업으로 지원되었으며, 또한 과학기술정보통신부 및 정보통신기획평가원의 Grand ICT연구센터 지원사업의 연구결과로 수행되었으며 (IITP-2022-2020-0-01791), 또한 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(NRF-2021R1F1A1062131).
References
- Aguilar, W. G., Rodriguez, G. A., Alvarez, L., Sandoval, S., Quisaguano, F., and Limaico, A. (2017). Visual SLAM with a RGB-D camera on a quadrotor UAV using on-board processing, International Work-Conference on Artificial Neural Networks, Jun. 14-16, Cadiz, Spain, pp. 596-606.
- Bross, B., Wang, Y. K., Ye, Y., Liu, S., Chen, J., Sullivan, G. J., and Ohm, J. R. (2021). Overview of the versatile video coding (VVC) standard and its applications, IEEE Transactions on Circuits and Systems for Video Technology, 31(10), pp. 3736-3764. https://doi.org/10.1109/TCSVT.2021.3101953
- Fraunhofer Heinrich Hertz Institute (2022). V VC Test Model, https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM (Accessed on A pr. 14th, 2022)
- Fu, J., Miao, D., Yu, W., Wang, S., Lu, Y., and Li, S. (2013). Kinect-like depth data compression, IEEE Transactions on Multimedia, 15(6), pp. 1340-1352. https://doi.org/10.1109/TMM.2013.2247584
- Hartley, R. and Zisserman, A. (2000). Multiple View Geometry in Computer Vision, New York, USA, Cambridge University Press.
- Jiang, M., Luo, X., Hai, T., Wang, H., Yang, S., Abdalla, A. N. (2019). Visual Object Tracking in RGB-D Data via Genetic Feature Learning, Complexity, 2019(2019), pp. 1-8.
- Kwon, S. K., Tamhankar, A., and Rao, K. R. (2006). Overview of H.264/MPEG-4 part 10, Journal of Visual Communication and Image Representation, 17(2), pp. 186-216. https://doi.org/10.1016/j.jvcir.2005.05.010
- Lai, K., Bo, L., Ren, X., and Fox, D. (2011). A large-scale hierarchical multi-view RGB-D object dataset, IEEE International Conference on Robotics and Automation, May 9-13, Shanghai, China, pp. 1817-1824.
- Lee, D. S. and Kwon, S. K. (2019). Prediction method for depth picture through spherical modeling mode, Journal of Korea Multimedia Society, 22(12), pp. 1368-1375. https://doi.org/10.9717/KMMS.2019.22.12.1368
- Lee, D. S., Kim, B. K., and Kwon, S. K. (2021). Efficient depth data coding method based on plane modeling for intra prediction, IEEE Access, 9, pp. 29153-29164. https://doi.org/10.1109/ACCESS.2021.3056687
- Liu, S., Lai, P., Tian, D., and Chen, C. W. (2011). New depth coding techniques with utilization of corresponding video, IEEE Transactions on Broadcasting, 57(2), pp. 551-561. https://doi.org/10.1109/TBC.2011.2120750
- Nenci, F., Spinello, L., and Stachniss, C. (2014). Effective compression of range data streams for remote robot operations using H.264, IEEE/ RSJ International Conference on Intelligent Robots and Systems, Sep. 14-18, Chicago, USA, pp. 3794-3799.
- Ren, C. Y., Prisacariu, V. A., Kahler, O., Reid, I. D., and Murray, D. W. (2017). "Real-time Tracking of Single and Multiple Objects from Depth-colour Imagery Using 3D Signed Distance Functions, International Journal of Computer Vision, 124(1), pp. 80-95. https://doi.org/10.1007/s11263-016-0978-2
- Shen, G., Kim, W. S., Ortega, A., Lee, J., and Wey, H. (2010). Edge-aware intra prediction for depth-map coding. IEEE International Conference on Image Processing, Sep. 26-29, Hong Kong, pp. 3393-3396.
- Silberman, N., Hoiem, D., Kohli, P,, and Fergus, R. (2012), Indoor segmentation and support inference from rgbd images, European Conference on Computer Vision, Oct. 7-13 Firenze, Italy, pp. 746-760.
- Stankiewicz, O., Wegner, K., and Domanski, M. (2013). Nonlinear depth representation for 3D video coding, IEEE International Conference on Image Processing, Sep. 15-18, Melbourne, Australia, pp. 1752-1756.
- Sullivan, G. J., Ohm, J., Han, W. J., and Wiegand, T. (2012). Overview of the high efficiency video coding (HEVC) standard, IEEE Transactions on Circuits and Systems for Video Technology, 22(12), pp. 1649-1668. https://doi.org/10.1109/TCSVT.2012.2221191
- Sun, Y., Liu, M., and Meng, M. Q. H. (2017). Improving RGB-D SLAM in dynamic environments: A motion removal approach, Robotics and Autonomous Systems, 89, pp. 110-122. https://doi.org/10.1016/j.robot.2016.11.012
- Wang, X., Sekercioglu, Y., Drummond, T., Fremont, V., Natalizio, E., and Fantoni, I. (2018). Relative pose based redundancy removal: collaborative RGB-D data transmission in mobile visual sensor networks, Sensors, 18(8), pp. 1-23. https://doi.org/10.1109/JSEN.2017.2772700
- Wang, X., Sekercioglu, Y., Drummond, T., Natalizio, E., Fantoni, I., and Fremont, V. (2016). Fast depth video compression for mobile RGB-D sensors, IEEE Transactions on Circuits and Systems for Video Technology, 26(4), pp. 673-686. https://doi.org/10.1109/TCSVT.2015.2416571
- Zhao, Y., Carraro, M., Munaro, M., and Menegatti, E. (2017). Robust Multiple Object Tracking in RGB-D Camera Networks, IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep. 24-28, Vancouver, Canada, pp. 6625-6632.