A survey of image registration techniques
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-stage combination of geometric and colorimetric detectors for eyes localization
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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We propose a measure of patient alignment in a video by combining different image representations : grey level, edges, and a set of feature points. When patient head is correctly positionned, a reference image with its ellipse is stored as a template of correct alignment. Edges detection results in a second template of the correct head location. Corners inside the ellipse are detected and tracked: a set of Nfeature points composes a third template. Template matching computes a measure of similarity between a representation of the reference image and a window sliding around the reference location. Similarity with these three models are combined by the product rule. Location of window the most similar to the templates gives the translation Tof the reference model in the image plane. This measure of patient misalignment could avoid X-ray verification of patient alignment, reducing patient dose and duration of treatment sessions.