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General / Comparison chunks according the capacity: two chunks and merged chunk
« on: April 12, 2021, 09:00:15 AM »
Good morning,
A few weeks ago, I posted the same question, but the answer was not posted, so I am posting it again. Sorry.
The question is again (more specifically) as follows.
Below:
I have one set of image data shot with UAV and one set of image data shot with DSLR.
Both datasets took the same subject.
When creating a dense point cloud for the subject from these two datasets, I used two methods.
One is UAV data set and DSLR data set in one chunk, the other is UAV data set and DSLR in different chunks to create a dense point cloud, and then the chunks are merged.
As I expected, the capacity of the final two dense point clouds would be similar, but the difference was quite large.
When working with two datasets (UAV + DSLR) in one chunk, the capacity of the dense point cloud was about 6GB. The UAV data set and DSLR data set made into dense point cloud in different chunks were 7.6 GB (DSLR) and 1.7 GB (UAV), respectively, and the merged of these two chunks was 9 GB of dense cloud.
The parameters from Align to Build Dense point cloud are the same.
But rather, what is the reason that the capacity of the dense point cloud that worked with DSLR and UAV in one chunk is smaller than the capacity of the dense point cloud built with DSLR dataset (7.6GB)?
Wait for your answer. Thank you in advance.
bigoo.
A few weeks ago, I posted the same question, but the answer was not posted, so I am posting it again. Sorry.
The question is again (more specifically) as follows.
Below:
I have one set of image data shot with UAV and one set of image data shot with DSLR.
Both datasets took the same subject.
When creating a dense point cloud for the subject from these two datasets, I used two methods.
One is UAV data set and DSLR data set in one chunk, the other is UAV data set and DSLR in different chunks to create a dense point cloud, and then the chunks are merged.
As I expected, the capacity of the final two dense point clouds would be similar, but the difference was quite large.
When working with two datasets (UAV + DSLR) in one chunk, the capacity of the dense point cloud was about 6GB. The UAV data set and DSLR data set made into dense point cloud in different chunks were 7.6 GB (DSLR) and 1.7 GB (UAV), respectively, and the merged of these two chunks was 9 GB of dense cloud.
The parameters from Align to Build Dense point cloud are the same.
But rather, what is the reason that the capacity of the dense point cloud that worked with DSLR and UAV in one chunk is smaller than the capacity of the dense point cloud built with DSLR dataset (7.6GB)?
Wait for your answer. Thank you in advance.
bigoo.