Using geometric corners to build a 2D mosaic from a set of images

The main problem for building a mosaic is the computation of the warping functions (homographies). In fact two cases are to be distinguished. The first is when the homography is mainly a translation (i.e. The rotation around the optical axis and the zooming factor are small). The second is the general case (when the rotation around the optical axis and zooming are arbitrary). Some efficient methods have been developed to solve the first case. But the second case is more difficult, in particular, when the rotation around the optical axis is very large (90 degrees or more). Often in this case human interaction is needed to provide a first approximation of the transformation that will bring one back to the first case. The authors present a method to solve this problem without human interaction for any rotation around the optical axis and fairly large zooming factors.

[1]  C. D. Kuglin,et al.  The phase correlation image alignment method , 1975 .

[2]  L. Quam.  Hierarchical warp stereo , 1987 .

[3]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[4]  P. Anandan,et al.  Hierarchical Model-Based Motion Estimation , 1992, ECCV.

[5]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[6]  Rachid Deriche,et al.  Recovering and characterizing image features using an efficient model based approach , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Laurent Moll,et al.  Real time correlation-based stereo: algorithm, implementations and applications , 1993 .

[8]  O. Faugeras.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[9]  Richard Szeliski,et al.  Image mosaicing for tele-reality applications , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[10]  Richard I. Hartley.  Self-Calibration from Multiple Views with a Rotating Camera , 1994, ECCV.

[11]  Subhasis Chaudhuri,et al.  Automated assembling of images: image montage preparation , 1995, Pattern Recognit..

[12]  Leonard McMillan,et al.  Plenoptic modeling: an image-based rendering system , 1995, SIGGRAPH.

[13]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.

[14]  Demetri Terzopoulos,et al.  Signal matching through scale space , 1986, International Journal of Computer Vision.