On the Solvability of Viewing Graphs
This addresses a foundational problem in computer vision for researchers and practitioners working with multi-view geometry.
The paper tackles the problem of determining when a set of fundamental matrices between camera pairs is sufficient to recover global camera configurations, presenting new results for characterizing solvable viewing graphs and computational verification strategies.
A set of fundamental matrices relating pairs of cameras in some configuration can be represented as edges of a "viewing graph". Whether or not these fundamental matrices are generically sufficient to recover the global camera configuration depends on the structure of this graph. We study characterizations of "solvable" viewing graphs and present several new results that can be applied to determine which pairs of views may be used to recover all camera parameters. We also discuss strategies for verifying the solvability of a graph computationally.