Image sequence stabilization through model based registration

• Autorzy: Denkowski M. , Chlebiej M.
• Języki publikacji: EN

Abstrakty

EN

Acquisition of image series using the digital camera gives a possibility to obtain high resolution/quality animation, much better than while using the digital camcorder. However, there are several problems to deal with when producing animation using such approach. Especially, if motion involves changes in observer position and spatial orientation, the resulting animation may turn out to look choppy and unsmooth. If there is no possibility to provide some hardware based stabilization of the camera during the motion, it is necessary to develop some image processing methods to obtain smooth animation. In this work we deal with the image sequence acquired without stabilization around an object. We propose a method that enables creation of smooth animation using the registration paradigm.

Słowa kluczowe

EN

image sequence; image processing; smooth animation

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2010
• Tom: Vol. 10, no. 1
• Strony: 79--86
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Denkowski M.

• Faculty of Computer Science, Maria Curie-Sklodowska University, pl. M. Curie-Sklodowskiej 5, 20-031 Lublin, Poland

autor

Chlebiej M.

• Faculty of Mathematics and Computer Science, N. Copernicus University Chopina 12/18, 87-100 Torun, Poland

Bibliografia

• [1] Pollefeys, M., Self-calibration and metric 3D reconstruction from uncalibrated image sequences, PhD thesis, Katholieke Universiteit Leuven (unpublished, 1999).
• [2] Stamos, I., Allen, P., 3-D model construction using range and image data, Computer Vision & Pattern Recognition Conf. (CVPR) (2000): 531–536.
• [3] Baillard, C., Zisserman A., A plane-sweep strategy for the 3d reconstruction of buildings from multiple images, International Archives of Photogrammetry and Remote Sensing 32(2) (2000): 56–62.
• [4] Lorensen W. E., Cline H. E., Marching cubes: a high resolution 3D surface construction algorithm, Computer Graphics 21(4) (1987): 163–169.
• [5] Durst, M. J., Additional reference to marching cubes, Computer Graphics 22(2) (1988): 72–73.
• [6] Hansbo P., Generalized Laplacian smoothing of unstructured grids, Communications in Numerical Methods in Engineering 11 (1995): 455–464.
• [7] Powell M. J. D., On efficient method for finding the minimum of a function of several variables without calculating derivatives, Comput. J. 7 (1964): 155–162.
• [8] Press W. H., Flannery B. P., Teukolsky S. A., Vetterling W. T., Numerical Recipes in C (second edition) (Cambridge Univeristy Press, 1992).
• [9] Shannon C. E., A mathematical theory of communication, Bell System Technical Journal 27 (1948): 379–423, 623–656.
• [10] Veltkamp R., Hagedoorn M., State-of-the-art in shape matching (Technical report UU-CS-1999-27) (Utrecht University, 1999).
• [11] Tuytelaars T., Local, invariant features for registration and recognition, PhD thesis, K. U. Leuven (unpublished, 2000).
• [12] Vijayakumar B., Kriegman D., Ponce J., Invariant-based recognition of complex curved 3-D objects from image contours, Computer Vision and Image Understanding (1998): 287–303.