Computer Vision, Imaging and Computer Graphics – Theory and Applications by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030122096
Publisher: Springer International Publishing

Results show how the rotation information obtained from hardware sensors allows to make the software part of these algorithms quite fast. Specifically, the previously existing regular grid method outperforms the well-established 4PCS method and is the most robust method overall in the sense that it presents less relative difference in execution times between sets with high and low overlap. The times of the 4PCS algorithm are somewhat skewed by some registrations that are way slower than the others. If we ignore these cases, the running times of this algorithm become slightly inferior to those of the regular grid algorithm although quite far from those of the super4PCS algorithm.

The algorithm presented in this work is the fastest in the comparison and outperforms (for this particular type of problem) even the super4PCS algorithm. In further detail, while the super4PCS is the fastest algorithm in 5 of the 10 high overlap cases (with an average total time of 3.97 s for all the matching process against the 4.01 s average for our algorithm), it also struggled to find a solution in 10 of the 20 cases. In these cases it failed to find the best solution and stalled under 5% overlap after fine matching. After careful parameter tuning, it was possible to obtain the best solution but the resulting executions took longer. The resulting aggregate of the times of the fastest parameter configurations leading to a correct solution is what has finally been reported. On average, the current paper obtained a 19.67% improvement over the super4PCS algorithm.

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