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Summary: Registration of Images with Small Overlap
Bernardo Esteves Pires and Pedro M. Q. Aguiar
Institute for Systems and Robotics--ISR/IST
Av. Rovisco Pais, 1040-001, Lisboa, Portugal
E-mail: {bpires,aguiar}@isr.ist.utl.pt
Abstract-- We address the problem of building a mosaic from
uncalibrated images. The key issue in this problem is the
registration of the images, i.e., the estimation of the parameters
describing the global motion of the brightness pattern between
them. Current approaches to global motion estimation avoid pre-
processing steps, e.g., feature detection and matching, by infer-
ring the motion parameters directly from the image intensities,
through the minimization of the sum of the square error over a
fixed window. This window is usually chosen as a large rectangle
within the region where it is expected that the original images
overlap. Although this leads to good results when the images
to register have a large overlap, it often fails when the images
exhibit only a small overlap, due to the requirement of choosing
a priori a very small window. To overcome this limitation, we
propose in this paper an adaptive window.
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