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Piecewise Image Registration in the Presence of Multiple Large Motions Pravin Bhat1
 

Summary: Piecewise Image Registration in the Presence of Multiple Large Motions
Pravin Bhat1
, Ke Colin Zheng1
, Noah Snavely1
, Aseem Agarwala1
,
Maneesh Agrawala2
, Michael F. Cohen3
, Brian Curless1
1
University of Washington, Seattle, WA
2
University of California, Berkeley, CA
3
Microsoft Research, Redmond, WA
(a) Left image (b) Right image (c) Labeled flow field (d) Reconstructed image
Figure 1. Dense pixel correspondence between two images of a scene with moving rigid objects. Images (a) and (b) are the input, and
(c) is the flow field from (a) to (b) with color labelings. Red indicates occluded areas, and blue and green indicate two motions modeled
by fundamental matrices for the bird and the rest of the background(note that the flow vectors are uniformly scaled to a shorter length for
visual clarity). Image (d) is the reconstruction of (a) based on the flow; red areas are occluded.

  

Source: Agrawala, Maneesh - Department of Electrical Engineering and Computer Sciences, University of California at Berkeley
Washington at Seattle, University of - Department of Computer Science and Engineering, Graphics and Imaging Laboratory

 

Collections: Computer Technologies and Information Sciences