Todd S. Sachs

Projection-Based Image Registration

Systems, methods, and computer readable media to register images in real-time and that are capable of producing reliable registrations even when the number of high frequency image features is small. The disclosed techniques may also provide a quantitative measure of a registrations quality. The latter may be used to inform the user and/or to automatically determine when visual registration techniques may be less accurate than motion sensor-based approaches. When such a case is detected, an image capture device may be automatically switched from visual-based to sensor-based registration. Disclosed techniques quickly determine indicators of an images overall composition (row and column projections) which may be used to determine the translation of a first image, relative to a second image. The translation so determined may be used to align/register the two images.We address the problem of noise smoothing in image restoration. We introduce several normed derivative constraints and compute their associated projectors. Several image-restoration algorithms that use these constraints, among others, are proposed. The issue of set closure is addressed, and it is shown that sets incorporating bounds on derivative norms are closed in L2.