CODEWITHSUNDEEP
iosopencvcomputer-visiondistancetriangulation
Aft3rmath
Aft3rmath

Reputation: 669

Computing real depth map of image objects and reconstruction from several images

I have a next task: get a room 3d projection from multiple images (possible video stream, doesn't matter). There will be spherical camera (in fact multiple cameras on sphere-like construction), so the case is the right one on the image. enter image description here

I decided to code it on iOS platform as I'm iOS developer and model cameras with iPhone cam rotating it as shown on the pic above. As I can decompose this task, first I need to get real distance to the objects (walls in most cases, I think). Is it possible? Which algoritms/methods should I use to achieve this? I don't ask you to make the task for me obviously, but give me the direction, because I have no idea, maybe some equations/tutorials/algorithms with explanation to my case. Thank you!

Upvotes: 2

Views: 919

Answers (1)

Luke
Luke

Reputation: 5564

The task of building a 3D model from multiple 2D images is called "scene reconstruction." It's still an active area of research, but solutions involve recognizing the same keypoint (e.g. a distinctive part of an object) in two images. Once you have that, you can use the known camera geometry to solve for the 3D position of that keypoint in the world.

Here's a reference: http://docs.opencv.org/3.1.0/d4/d18/tutorial_sfm_scene_reconstruction.html#gsc.tab=0

You can google "scene reconstruction" to find lots more, and papers that go into more detail.

Upvotes: 2

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