So lets say I have a objects like a face. I take multiple pictures of the face all at different angles and from far and close. I have a sort of idea of how to make a 3d model out of these pictures but don't know how to accomplish them. My idea goes likes this.
- First make code that gets the image object and gets rid of all background "noise".
- Second find what part of the 3d model the picture is about and place a tag on the image for where it should fit.
- Third collect and overlap all the images together to create a 3d object.
Anyone have any idea how to accomplish any of these steps or any ideas how to create a 3d model out of a series of images? I use python 3.10.4.
CodePudding user response：
It seems that you are asking if there are some Python modules that would help to implement a complete photogrammetry process.
Please note that, even in the existing (and commercial) photogrammetry solutions, the process is not always fully-automated, sometimes it require some manual tweaking & point cloud selection.
Anyway, to the best of my knowledge, what you asked requires to implement the following steps:
- detecting common features between the different photographs
- infer the position in space of the camera that took each photograph
- generate a point cloud of the photographs based on their relative position in space and the common features
- convert the point cloud in a 3D mesh.
Possibly, all of these steps can be implemented in Python but I'm not aware that such a "off-the-shelf" module does exist.