Title
Linear solvability in the viewing graph
Abstract
The Viewing Graph [1] represents several views linked by the corresponding fundamental matrices, estimated pairwise. Given a Viewing Graph, the tuples of consistent camera matrices form a family that we call the Solution Set. This paper provides a theoretical framework that formalizes different properties of the topology, linear solvability and number of solutions of multi-camera systems. We systematically characterize the topology of the Viewing Graph in terms of its solution set by means of the associated algebraic bilinear system. Based on this characterization, we provide conditions about the linearity and the number of solutions and define an inductively constructible set of topologies which admit a unique linear solution. Camera matrices can thus be retrieved efficiently and large viewing graphs can be handled in a recursive fashion. The results apply to problems such as the projective reconstruction from multiple views or the calibration of camera networks.
Year
DOI
Venue
2010
10.1007/978-3-642-19318-7_29
ACCV (3)
Keywords
Field
DocType
corresponding fundamental matrix,solution set,different property,linear solvability,camera network,viewing graph,associated algebraic bilinear system,consistent camera matrix,unique linear solution,camera matrix,associative algebra
Computer vision,Discrete mathematics,Algebraic number,Constructible set,Tuple,Computer science,Matrix (mathematics),Linearity,Network topology,Solution set,Artificial intelligence,Recursion
Conference
Volume
ISSN
Citations 
6494
0302-9743
3
PageRank 
References 
Authors
0.40
9
3
Name
Order
Citations
PageRank
Alessandro Rudi110316.49
Matia Pizzoli244619.74
Fiora Pirri368494.09