An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generation of a disparity map using piecewise linear transformation
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Multiple polyline to polygon matching
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
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Most approaches use corresponding points to determining an object's orientation from stereo-images, but this is not always possible. Imaging modalities that do not produce correspondences for different viewing angles, as in X-ray imaging, require other procedures. Our method works on contours in images that do not need to be equivalent in length or contain corresponding points. It is able to determine corresponding contours and resamples those, creating new sets of corresponding points for registration. Two sets of in-plane transformations from a stereo-system are used to determine spatial orientation. The approach was tested with three ground truth datasets and subpixel accuracy was achieved. The approach is originally designed for X-ray based patient alignment, but it is versatile and can also be employed in other close range photogrammetry applications.