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FEATURELESS GLOBAL ALIGNMENT OF MULTIPLE IMAGES Bernardo Esteves Pires
 

Summary: FEATURELESS GLOBAL ALIGNMENT OF MULTIPLE IMAGES
Bernardo Esteves Pires
The Boston Consulting Group
Lisbon Office, Portugal
E-mail: pires.bernardo@bcg.com
Pedro M. Q. Aguiar
Institute for Systems and Robotics / IST
Lisboa, Portugal
E-mail: aguiar@isr.ist.utl.pt
ABSTRACT
The majority of the approaches to the automatic recovery of a
panoramic image from a set of partial views are suboptimal in the
sense that the input images are aligned, or registered, pair by pair,
e.g., consecutive frames of a video clip. These approaches lead
to propagation errors that may be very severe, particularly when
dealing with videos that show the same region at disjoint time in-
tervals. Although some authors have proposed a post-processing
step to reduce the registration errors in these situations, there have
not been attempts to compute the optimal solution, i.e., the regis-
trations leading to the panorama that best matches the entire set

  

Source: Aguiar, Pedro M. Q. - Institute for Systems and Robotics (Lisbon)

 

Collections: Engineering