A Robust and Real-Time Full 3D Reconstruction Method Based on Multiple Kinect
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-6571-2_171
Reference13 articles.
1. Weinmann, M., Osep, A., Ruiters, R., Klein, R.: Multi-view normal field integration for 3D reconstruction of mirroring objects. In: IEEE International Conference on Computer Vision, pp. 2504–2511 (2013)
2. Qian, N., Lo, C.Y.: Optimizing camera positions for multi-view 3D reconstruction. In: International Conference on 3D Imaging (2015)
3. Kim, Y.M., Theobalt, C., Diebel, J., Kosecka, J., Miscusik, B., Thrun, S.: Multi-view image and ToF sensor fusion for dense 3D reconstruction. In: IEEE International Conference on Computer Vision Workshops, pp. 1542–1549 (2009)
4. Afzal, H., Aouada, D., Font, D., Mirbach, B., Ottersten, B.: RGB-D multi-view system calibration for full 3D scene reconstruction. In: International Conference Pattern Recognition, pp. 2459–2464 (2014)
5. El Hazzat, S., Saaidi, A., Satori, K.: Multi-view passive 3D reconstruction: comparison and evaluation of three techniques and a new method for 3D object reconstruction. In: Fifth International Conference on Next Generation Networks and Services, pp. 194–201 (2014)
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