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Fig. 7. The edge of initial object area connects with other edge on the bottom-left corner and exists nearby other edge on the bottom-right corner. (1) and (2) edges are add to the list of edge segments to be deleted for further iteration of the fixation based segmentation (green lines) (Color figure online). Here, we identify two situations - in the first the consistency of the motion of the candidate region with the object being analyzed is determined by a simple projection and matching model. This is illustrated in Fig.

Experiments using multiple moving objects in real color and depth image sequences acquired by Kinect© demonstrate the effectiveness of our proposed method. Our method can be applied to the systems that utilize not only Kinect(c) but also other TOF sensor or stereo cameras. References 1. : A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 28, 657–662 (2006) 2. : Extracting moving objects from a moving camera video sequence. In: Proceedings of the 10th Symposium on Sensing via Image Information, pp.

Image 22, 421–431 (2011) 12. : Robust refinement methods for camera calibration and 3D reconstruction from multiple images. Pattern Recogn. Lett. 32, 1210–1221 (2011) 13. : Regularity selection for effective 3D object reconstruction from a single line drawing. Pattern Recogn. Lett. 29, 1486–1495 (2008) 14. : Reconstruction of 3D objects from 2D cross-sections with the 4-point subdivision scheme adapted to sets. Comput. Graph. 35, 741–746 (2011) 15. : Multiview 3D reconstruction of the archaeological site at Weymouth from image series.

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