Feature Based Image Mosaicing

A feature based image mosaicing algorithm is presented in this project. A relaxation based correspondence algrithm is used to first select corresponding corners in two images. RANSAC is used to estimate the homography relating the two images. The estimated homogrphy is refined using Newton's non-linear method. A dynamic programming based blending algorithm was used to seamlessly blend the two images.

[1]  Harry Shum,et al.  Construction and refinement of panoramic mosaics with global and local alignment , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

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

[3]  Andrew Zisserman,et al.  Automated mosaicing with super-resolution zoom , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

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

[5]  Rachid Deriche,et al.  A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry , 1995, Artif. Intell..

[6]  James Davis,et al.  Mosaics of scenes with moving objects , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[7]  Rachid Deriche,et al.  Using geometric corners to build a 2D mosaic from a set of images , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.