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Shift-map Image Registration

In English

Författare

  • Linus Svärm
  • Petter Strandmark

Summary, in English

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.

Publiceringsår

2010

Språk

Engelska

Dokumenttyp

Konferensbidrag

Ämne

  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics

Conference name

International Conference on Pattern Recognition (ICPR 2010)

Conference date

2010-08-23 - 2010-08-26

Conference place

Istanbul, Turkey

Status

Inpress

Forskningsgrupp

  • Mathematical Imaging Group