Abstract
An integrated segmentation approach for color images and depth maps is proposed. The 3D pointclouds are characterized by normal vectors and then grouped into planar, concave or convex faces. The empty regions in the depth map are filled by segments of the associated color image. In the experimental part two types of depth maps are analysed: generated by the MS-Kinect sensor or by a stereo-pair of cameras.
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References
Surmann, H., Nüchter, A., Hertzberg, J.: An autonomous mobile robot with a 3D laser range finder for 3D exploration and digitalization of indoor environments. Robotics and Autonomous Systems 45(3), 181–198 (2003)
Konolige, K.: Projected texture stereo. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 148–155. IEEE (2010)
Giles, J.: Inside the race to hack the Kinect. The New Scientist 208(2789), 22–23 (2010)
Lange, R., Seitz, P.: Solid-state time-of-flight range camera. IEEE Journal of Quantum Electronics 37(3), 390–397 (2001)
Dey, T., Li, G., Sun, J.: Normal estimation for point clouds: A comparison study for a Voronoi based method. In: Point-Based Graphics, Eurographics/IEEE VGTC Symposium Proceedings, pp. 39–46. IEEE (2005)
Miao, Y., Feng, J., Peng, Q.-S.: Curvature Estimation of Point-Sampled Surfaces and Its Applications. In: Gervasi, O., Gavrilova, M.L., Kumar, V., Laganá, A., Lee, H.P., Mun, Y., Taniar, D., Tan, C.J.K. (eds.) ICCSA 2005. LNCS, vol. 3482, pp. 1023–1032. Springer, Heidelberg (2005)
Kornuta, T., Stefańczyk, M.: DisCODe: component-oriented framework for sensory data processing (PL). Measurements, Automation and Robotics 16(7-8), 76–83 (2012)
Giordano, P., De Luca, A., Oriolo, G.: 3D structure identification from image moments. In: IEEE International Conference on Robotics and Automation, ICRA 2008, pp. 93–100. IEEE (2008)
Mahmoudi, M., Sapiro, G.: Three-dimensional point cloud recognition via distributions of geometric distances. Graphical Models 71(1), 22–31 (2009)
Jaklic, A., Leonardis, A., Solina, F.: Segmentation and Recovery of Superquadrics. Computational imaging and vision, vol. 20. Kluwer, Dordrecht (2000)
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Stefańczyk, M., Kasprzak, W. (2012). Multimodal Segmentation of Dense Depth Maps and Associated Color Information. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_75
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DOI: https://doi.org/10.1007/978-3-642-33564-8_75
Publisher Name: Springer, Berlin, Heidelberg
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