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October 7th, 2014, 03:07 AM   #1
Joined: Dec 2011
From: Oxford, UK

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Math Focus: Linear Algebra / 3d Math / Geometry & Trig / Topology
Calculating object distance from two 2d stereo images

I'm playing around with a concept of being able to calculate the distance of an object from a camera with stereo ability. The camera takes two photos at the same time but different locations, as in, it is a binocular camera designed to mimic the human vision system.
To get an accurate measurement of the object distance from the cameras I'm playing with a few different ideas.

One is to project some known structure (e.g. a grid) onto the object and to use the grid's deformation to compute the surface. Then use this info as a model to calculate the difference of the same structure on the images captured afterwards.

I guess I would create a region of interest to begin with and deform a grid around that. I'm supposing that I would need first the 2d coordinates of the flat grid and then the coordinates of the same points on the grid once deformed. The same would apply to the second image. I would need then to calculate the difference from the two grid points on both images. If I use this as the template and then do the same for the next two images taken and compare the differences, would this be enough to accurately decide the x, y, z location of the object from the camera?

Hopefully this is in an appropriate forum. Please tell me if I should be in another as I'm no maths guru and will accept that that may be my first mistake.

Kind Regards
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