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On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation
[article]
2021
arXiv
pre-print
Benchmark datasets that measure camera pose accuracy have driven progress in visual re-localisation research. To obtain poses for thousands of images, it is common to use a reference algorithm to generate pseudo ground truth. Popular choices include Structure-from-Motion (SfM) and Simultaneous-Localisation-and-Mapping (SLAM) using additional sensors like depth cameras if available. Re-localisation benchmarks thus measure how well each method replicates the results of the reference algorithm.
arXiv:2109.00524v1
fatcat:spz6mouvmfd5bjkztimbmiay6i