Systematic Evaluation of Novel View Synthesis for Video Place Recognition
The generation of synthetic novel views has the potential to positively impact robot navigation in several ways. In image-based navigation, a novel overhead view generated from a scene taken by a ground robot could be used to guide an aerial robot to that location. In Video Place Recognition (VPR), novel views of ground locations from the air can be added that enable a UAV to identify places seen by the ground robot, and similarly, overhead views can be used to generate novel ground views. This paper presents a systematic evaluation of synthetic novel views in VPR using five public VPR image databases and seven typical image similarity methods. We show that for small synthetic additions, ...
| Authors | Muhammad Zawad Mahmud, Samiha Islam, Damian Lyons |
|---|---|
| Primary category | cs.CV |
| Published | 6 March 2026 |
| Last updated at source | 14 June 2026 |
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