Video Mosaicing is the stitching of selected frames of
a video by estimating the camera motion between the frames and
thereby registering successive frames of the video to arrive at the
mosaic. Different techniques have been proposed in the literature for
video mosaicing. Despite of the large number of papers dealing with
techniques to generate mosaic, only a few authors have investigated
conditions under which these techniques generate good estimate of
motion parameters. In this paper, these techniques are studied under
different videos, and the reasons for failures are found. We propose
algorithms with incorporation of outlier removal algorithms for better
estimation of motion parameters.
[1] Micheal.J.Black and P Anandan "The Robust Estimation Of Multiple
Motions: Parametric and Piecewise Smooth Flow Fields" CVIU Vol 63
pp 77-104, 1996.
[2] S. Mann, and R. Picard, "Video Orbits of the Projective Group: A Simple
Approach to Featureless Estimation of Parameters", IEEE Trans. on
Image Processing, Vol. 6, No. 9, pg. 1281-95, 1996.
[3] Bruce D.Lucas and Takeo Kanade, "An iterative Image registration
Technique with an application to stereo vision", from Proceedings of
Image Understanding workshop, pg.121-130, 1981.
[4] J.Shi and Carlo Tomasi, "Good Features to Track", IEEE Conference on
Computer Vision and Pattern Recognition (CVPR94), Seattle, June
1994.
[5] Shinji Umeyama, "Least-Squares Estimation of Transformation
Parameters Between Two Point Patterns", IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol 13, No. 4, April, 1991.
[6] J. R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical
model-based motion estimation. In G. Sandini, editor, Proc. of Second
European Conference on Computer Vision, ECCV-92, volume 588 of
LNCS-Series, pages 237-252. Springer-Verlag, May 1992.
[7] P.J.Burt, C.Yen, and X.Xu, "Local Correlation Measures for Motion
Analysis: A Comparative Study." ,IEEE CPRIP, pg.269-274,1982
[8] R. Szeliski, "Image Mosaicing for Tele-Reality Applications",
Technical Report CRL 94/2, Digital Equipment Corporation, 1994.
[9] B. Horn, and B. Schunck, "Determining Optical Flow", Artificial
Intelligence, Vol. 17, pg. 185-204, August 1981.
[1] Micheal.J.Black and P Anandan "The Robust Estimation Of Multiple
Motions: Parametric and Piecewise Smooth Flow Fields" CVIU Vol 63
pp 77-104, 1996.
[2] S. Mann, and R. Picard, "Video Orbits of the Projective Group: A Simple
Approach to Featureless Estimation of Parameters", IEEE Trans. on
Image Processing, Vol. 6, No. 9, pg. 1281-95, 1996.
[3] Bruce D.Lucas and Takeo Kanade, "An iterative Image registration
Technique with an application to stereo vision", from Proceedings of
Image Understanding workshop, pg.121-130, 1981.
[4] J.Shi and Carlo Tomasi, "Good Features to Track", IEEE Conference on
Computer Vision and Pattern Recognition (CVPR94), Seattle, June
1994.
[5] Shinji Umeyama, "Least-Squares Estimation of Transformation
Parameters Between Two Point Patterns", IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol 13, No. 4, April, 1991.
[6] J. R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical
model-based motion estimation. In G. Sandini, editor, Proc. of Second
European Conference on Computer Vision, ECCV-92, volume 588 of
LNCS-Series, pages 237-252. Springer-Verlag, May 1992.
[7] P.J.Burt, C.Yen, and X.Xu, "Local Correlation Measures for Motion
Analysis: A Comparative Study." ,IEEE CPRIP, pg.269-274,1982
[8] R. Szeliski, "Image Mosaicing for Tele-Reality Applications",
Technical Report CRL 94/2, Digital Equipment Corporation, 1994.
[9] B. Horn, and B. Schunck, "Determining Optical Flow", Artificial
Intelligence, Vol. 17, pg. 185-204, August 1981.
@article{"International Journal of Information, Control and Computer Sciences:50734", author = "P.Saravanan and Narayanan .C.K. and P.V.S.S Prakash and Prabhakara Rao .G.V", title = "Techniques for Video Mosaicing", abstract = "Video Mosaicing is the stitching of selected frames of
a video by estimating the camera motion between the frames and
thereby registering successive frames of the video to arrive at the
mosaic. Different techniques have been proposed in the literature for
video mosaicing. Despite of the large number of papers dealing with
techniques to generate mosaic, only a few authors have investigated
conditions under which these techniques generate good estimate of
motion parameters. In this paper, these techniques are studied under
different videos, and the reasons for failures are found. We propose
algorithms with incorporation of outlier removal algorithms for better
estimation of motion parameters.", keywords = "Motion parameters, Outlier removal algorithms,
Registering , and Video Mosaicing.", volume = "1", number = "11", pages = "3399-4", }