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Poster

Synchronization of Projective Transformations

Rakshith Madhavan · Andrea Fusiello · Federica Arrigoni

Strong blind review: This paper was not made available on public preprint services during the review process Strong Double Blind
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Tue 1 Oct 7:30 a.m. PDT — 9:30 a.m. PDT

Abstract:

Synchronization involves the task of inferring unknown vertex values (belonging to a group) in a graph, from edges labeled with vertex relations. While many matrix groups (e.g., rotations or permutations) have received extensive attention in Computer Vision, a complete solution for projectivities is lacking. Only the 3x3 case has been addressed so far, by mapping the problem onto the Special Linear Group, but the 4x4 projective case has remained unexplored and is the focus here. We propose novel strategies to address this task, and demonstrate their effectiveness in synthetic experiments, as well as on an application to projective Structure from Motion.

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