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General / How is the sparse cloud created?
« on: June 21, 2015, 04:36:59 PM »
Hello fellow PhotoScan users,
I'm currently working on my bachelor thesis about creating historical 3D-models. While the work with PhotoScan itself was no problem at all, I have issues understandig "how" some things work.
As far as the users manual goes, PhotoScan is finding the right camera position and orientation for every single picture and builds a sparse cloud. This part is practically where the magic happens, right? How exactly do you get three dimensional points out of two dimensional pictures by determining the camera positions and orientation for the single pictures?
Thanks in advance. I'm really thankful for every answer and source I can get!
/Edit: Just to let you know - I've already used the search and only things I could find were these two topics (which still deal more with the algorithms itself than with how the 3D coordinates are found):
http://www.agisoft.com/forum/index.php?topic=89.0
and
http://www.agisoft.com/forum/index.php?topic=3713.msg19379#msg19379
I'm currently working on my bachelor thesis about creating historical 3D-models. While the work with PhotoScan itself was no problem at all, I have issues understandig "how" some things work.
As far as the users manual goes, PhotoScan is finding the right camera position and orientation for every single picture and builds a sparse cloud. This part is practically where the magic happens, right? How exactly do you get three dimensional points out of two dimensional pictures by determining the camera positions and orientation for the single pictures?
Thanks in advance. I'm really thankful for every answer and source I can get!
/Edit: Just to let you know - I've already used the search and only things I could find were these two topics (which still deal more with the algorithms itself than with how the 3D coordinates are found):
http://www.agisoft.com/forum/index.php?topic=89.0
and
http://www.agisoft.com/forum/index.php?topic=3713.msg19379#msg19379
