  Recently several fusion and switching based approaches have been presented to
solve the problem of Visual Place Recognition. In spite of these systems
demonstrating significant boost in VPR performance they each have their own set
of limitations. The multi-process fusion systems usually involve employing
brute force and running all available VPR techniques simultaneously while the
switching method attempts to negate this practise by only selecting the best
suited VPR technique for given query image. But switching does fail at times
when no available suitable technique can be identified. An innovative solution
would be an amalgamation of the two otherwise discrete approaches to combine
their competitive advantages while negating their shortcomings. The proposed,
Switch-Fuse system, is an interesting way to combine both the robustness of
switching VPR techniques based on complementarity and the force of fusing the
carefully selected techniques to significantly improve performance. Our system
holds a structure superior to the basic fusion methods as instead of simply
fusing all or any random techniques, it is structured to first select the best
possible VPR techniques for fusion, according to the query image. The system
combines two significant processes, switching and fusing VPR techniques, which
together as a hybrid model substantially improve performance on all major VPR
data sets illustrated using PR curves.
