Automated Feature Points Management for Video Mosaic Construction

Authors: Jing Li, Quan Pan, Stan. Z. Li, Tao Yang

Abstract:

A novel algorithm for construct a seamless video mosaic of the entire panorama continuously by automatically analyzing and managing feature points, including management of quantity and quality, from the sequence is presented. Since a video contains significant redundancy, so that not all consecutive video images are required to create a mosaic. Only some key images need to be selected. Meanwhile, feature-based methods for mosaicing rely on correction of feature points? correspondence deeply, and if the key images have large frame interval, the mosaic will often be interrupted by the scarcity of corresponding feature points. A unique character of the method is its ability to handle all the problems above in video mosaicing. Experiments have been performed under various conditions, the results show that our method could achieve fast and accurate video mosaic construction. Keywords?video mosaic, feature points management, homography estimation.

Keywords: Video mosaic, feature points management, homography estimation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1062512

References:

[1] R. Kumar, H. Sawhney, S. Samarasekera, S. Hsu, H. Tao, Y. Guo, K. Hanna, A. Pope, R. Wildes, D. Hirvonen, M. Hansen, and P. Burt, ?Aerial Video Surveillance and Exploitation,? IEEE proceedings v?ol. 89, no. 10, pp. 1518-1539, October 2001.
[2] Y. Kanazawa, K. Kanatani, ? Stabilizing image mosaicing by model selection,? Second Workshop on 3D Structure from Multiple Images of Large-Scale Environments and Applications to Virtual and Augmented Reality (SMILE 2000), July 1, 2, 2000, Dublin, Ireland, pp. 10-17.
[3] R. Szeliski, H.-Y. Shum ,? Creating full view panoramic image mosaics and environment maps,? Proceedings of the SIGGRAPH?97, Los Angeles, CA August, pp:251?258.1997
[4] I. Zoghlami, O. Faugeras, R. Deriche, ?Using geometric corners to build a 2D mosaic from a set of images?, Proceedings of the IEEE Conference onComputer Vision and Pattern Recognition, Puerto Rico June, pp: 420?425.1997
[5] Shum, H. & Szeliski, R. ?Construction and refinement of panoramic mosaics with global and local alignment?? IEEE Int'l Conf. Computer Vision, pp. 953-958.1998
[6] Szeliski, R. ?Image Mosaicing for Tele-Reality Applications,? DigitalEquipment Corporation, Cambridge, USA.1994
[7] Hartley,,R.&Zisserman,A. ?Multiple View Geometry, ? Cambridge University Press, UK, 2000
[8] Zoghlami, I. & Faugeras,O. & Deriche,R. ?Using geometric corners to build a 2d mosaic from a set of images?, Computer Vision and Pattern Recognition, pp 421-425. 1997
[9] Capel,D&Zisserman,A. ?Automated mosaicing with super-resolution zoom?, Computer Vision and Pattern Recognition, 23-25 Jun ,1998, pp: 885-891
[10] C.Tat-Jen and R.Clipolla, ?A Statistical Framework for Long-Range Feature Matching in Uncalibrated Image Mosaicing? , Proc. Of IEEE Comp.Soc. Conference on Computer Vision and Pattern Recognition,Santa Barbara, CA, June.23-25, pp.442-447,1998,
[11] Yihong Gong, Guido Proietti, David LaRose, ?A Robust Image Mosaicing Technique Capable of Creating Integrated Panoramas?, International Conference on Information Visualization, London, England , July 14 - 16, pp: 1999 World Academy of Science, Engineering and Technology 2 2007632