• Laser & Optoelectronics Progress
  • Vol. 59, Issue 10, 1011004 (2022)
Wenyue Li, Di He*, Shuang Zhao, Chang Liu, and Zhehai Zhou
Author Affiliations
  • Beijing Information Science & Technology University, Beijing 100192, China
  • show less
    DOI: 10.3788/LOP202259.1011004 Cite this Article Set citation alerts
    Wenyue Li, Di He, Shuang Zhao, Chang Liu, Zhehai Zhou. RGB-D Data Stitching Based on Spatial Information Clustering[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1011004 Copy Citation Text show less
    References

    [1] Lu R S, Shi Y Q, Hu H B. Review of three-dimensional imaging techniques for robotic vision[J]. Laser & Optoelectronics Progress, 57, 040001(2020).

    [2] Liu H, Li H Y, Liu X H et al. A novel method for extrinsic calibration of multiple RGB-D cameras using descriptor-based patterns[J]. Sensors, 19, 349(2019).

    [3] Sarbolandi H, Lefloch D, Kolb A. Kinect range sensing: structured-light versus Time-of-Flight Kinect[J]. Computer Vision and Image Understanding, 139, 1-20(2015).

    [4] Hadfield J, Koutras P, Efthymiou N et al. Object assembly guidance in child-robot interaction using RGB-D based 3D tracking[C](2018).

    [5] Gatesichapakorn S, Takamatsu J, Ruchanurucks M. ROS based autonomous mobile robot navigation using 2D LiDAR and RGB-D Camera[C](2019).

    [6] Wetzstein G, Ihrke I, Lanman D et al. Computational plenoptic imaging[J]. Computer Graphics Forum, 30, 2397-2426(2011).

    [7] Wu Y C, Rivenson Y, Wang H D et al. Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning[J]. Nature Methods, 16, 1323-1331(2019).

    [8] Tan Z P, Johnson K, Clifford C et al. Development of a modular, high-speed plenoptic-camera for 3D flow-measurement[J]. Optics Express, 27, 13400-13415(2019).

    [9] Li T W, Tong G J, Li B Q et al. Review on object detection and recognition in large field of view[J]. Laser & Optoelectronics Progress, 57, 120002(2020).

    [10] Li H Y, Liu H, Cao N et al. Real-time RGB-D image stitching using multiple Kinects for improved field of view[J]. International Journal of Advanced Robotic Systems, 14, 172988141769556(2017).

    [11] Serafin J, Grisetti G. Using augmented measurements to improve the convergence of ICP[M]. Brugali D, Broenink J K, Kroeger T, et al. Simulation, modeling, and programming for autonomous robots. Lecture notes in computer science, 8810, 566-577(2014).

    [12] Serafin J, Grisetti G. NICP: dense normal based point cloud registration[C](2015).

    [13] Serafin J, Grisetti G. Using extended measurements and scene merging for efficient and robust point cloud registration[J]. Robotics and Autonomous Systems, 92, 91-106(2017).

    [14] Segal A, Haehnel D, Thrun S. Generalized-ICP[C](2009).

    [15] Ding C Q, Liu H, Li H Y. Stitching of depth and color images from multiple RGB-D sensors for extended field of view[J]. International Journal of Advanced Robotic Systems, 16, 172988141985166(2019).

    [16] Zhang Y, Li X Y, Han X. Three-dimensional point cloud registration method with low overlap rate[J]. Laser & Optoelectronics Progress, 58, 0810014(2021).

    [17] Achanta R, Shaji A, Smith K et al. SLIC superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 2274-2282(2012).

    [18] Hartley R, Zisserman A[M]. Multiple view geometry in computer vision(2004).

    [19] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004).

    [20] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[M]. Readings in computer vision, 726-740(1987).

    [21] Wang J J. A fast image stitching algorithm based on expanded super pixel[D](2019).

    [22] Allene C, Pons J P, Keriven R. Seamless image-based texture atlases using multi-band blending[C](2008).

    [23] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 13, 600-612(2004).

    Wenyue Li, Di He, Shuang Zhao, Chang Liu, Zhehai Zhou. RGB-D Data Stitching Based on Spatial Information Clustering[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1011004
    Download Citation