Really interesting study! Your poster is really eye-catching and the inclusion of the QR code is great - thank you for sharing the videos.
It would be useful to see a test for statistical significance between the two groups, as from the heat maps, the right hand column appears to have more variation in colour (differences). Are these your final results or do you have more analysis planned?
Hi Rachel, I am glad you found the study interesting.
It would indeed be useful to test the statistical significance of the results as you suggest. This is a project I worked on during my undergrad at the University of Toronto so it is pretty much done. However, it would be ideal to continue this project on a bigger scale using more specimens and perhaps trying to develop a standardised methodology for the digital reassembly of bones
Thanks for your reply. I've just started using CloudCompare too, so it's great to see these results displayed. It's definitely an interesting avenue, I hope this can be explored further!
Thank you for a sharing your work!
Your poster is beautifully presented and I am very interested in your work. Could you explain a little bit more about how the cloud to mesh comparison tool works in cloud compare? and are the distances in units of measurement?
Hi Amber, I appreciate your interest in the study.
To perform a cloud to mesh comparison in cloudcompare, the two point clouds of the corresponding specimens are roughly aligned by doing a point-pair registration, which consists in picking five equivalent point pairs on each of the scans (e.g. craniometric landmarks).
Once the models are roughly aligned, a finer alignment can be acheived using the ICP tool, this tool applies an algorithm to minimize the difference between the point clouds. After this the point distances can be computed by the software.
The measuring units for this study are milimitres.