Processing 360 Imagery

Hello!

I’m working my way towards a similar process where I hope to use 360 terrestrial images (vehicle mounted Insta 360 Pro 2) combined with traditional UAV imagery to create 3D models of downtown areas. However, I’m still running into issues processing any/all 360 images.

I’m currently using stitched (equirectangular) images but always end up with a nonsensical pointcloud, it looks like it exploded. The tutorials available make 360 image processing seem very straight forward but we’ve never had much luck.

Hoping for some pointers as to where my Initial Processing is going wrong.

Hi @brian.hatfield ,

The most important thing regarding the spherical cameras are the way you are capturing the images, the overlap and the light.

Here is an article describing how to process a spherical project in PIX4Dmapper and an example project the goal of which is to generate the 3D model of a church taken by an NCTech iSTAR spherical camera:

Best,

Hi @Nikoleta_Dimopoulou,

This is an article I’ve read a handful of times to try and put together a processing workflow. What I’m running into is that even though the images are geolocated the software has a lot of issues matching. The images are located accurately in Map View and have been stitched into the correct format.

Hi @brian.hatfield ,

Could you share with us the quality report in pdf format and log file to have a look?

Best,

Will do, hopefully I shared these correctly!

360 Imagery_report.pdf (109.1 KB)
report.xml (12.3 KB)

Hi Brian,

Thank you for sharing the quality report. It was very helpful.

In the Quality Check, the problem exists with the dataset, with 10 out of 37 images calibrated (27%), and 18 images disabled.

In general cases, we recommend working on the flight plan in this fashion. If the area has dense vegetation, please also increase the overlaps.

This way we can ensure there are enough images and overlap for reconstruction.

Feel free to take a look at this article for further information on Image acquisition.
The software is meant to process images by finding matching points with enough overlap.
image7.png

I hope this information helps! :slight_smile:

Best regards,

Rosana

Hi @brian.hatfield Brian,

Thank you for your reply. Feel free to let us know if you have any questions about another collection in the same area.

Sincerely,
Rosana

I’d like to plan a re-drive in this same area. The end goal is to use vehicle-mounted 360 cameras to capture building facades and streets in downtown areas where we can’t fly at low altitudes. Then, we’ll use a parallel drone flight for the rooftops.

This will (hopefully) but used for generating an accurate mesh that we can later 3D print.

Are you familiar with any workflows or missions similar to this? The current guide for processing with 360 images doesn’t provide very much in terms of trouble shooting.