Shift-map Image Registration

• Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes -expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range of applications to image registration. To do this, new data and smoothness terms have to be constructed. We note a great improvement when we measure pixel similarities with the dense DAISY descriptor. The main contributions of this paper are: • The extension of the shift-map framework to include image registration. We register images for which SIFT only provides 3 correct matches. • A publicly available implementation of shift-map image processing (e.g. inpainting, registration). We conclude by comparing shift-map registration to a recent method for optical flow with favorable results.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

NATURVETENSKAP  -- Matematik (hsv//swe)

NATURAL SCIENCES  -- Mathematics (hsv//eng)

Publikations- och innehållstyp

kon (ämneskategori)

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