Results and Limits
In this project we studied and implemented methods to register and merge multiple images into a high resolution spherical panorama. Our general framework (described in the introduction) is common to many of the papers we studied dealing with image mosaicing. The main differences between those mainly lie in the specific techniques used for the pair-wise registration, global registration and blending phases, as well as in the complexity of the camera model used. We intentionally chose relatively simple solutions from these available methods, which made it possible to implement a complete solution and to get interesting results within the available time. Nevertheless, it appears that this first order approach yielded sufficiently compelling results.
Phase Correlation and Feature-Based Correlation
We focused on the comparison of two different methods for pair-wise image registration :
Lack of time prevented us from doing the complete half-sphere panorama we initially planned to render (see the proposal), though our program should have had all the necessary elements to create one. We thought of some other improvements to increase the quality of the panoramas and make the use of the program easier. Notably an automatic extraction of the focal length from the image data would make the tedious task of approximating its value by trial and error unnecessary. The multi-resolution spline blending approach might have enabled us to get crisper images. Lastly a moving object detection heuristic like the one described in [Davis98] would have eliminated the "ghost artifacts" we got in some of our images.
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