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I have two camera of known intrinsic and extrinsic parameters.

Using Python 3, I would like to transform an image taken with one camera to the other camera's viewpoint so that I can overlay them. An example of what I'd like to achieve is: www.buildingconservation.com/articles/thermal-imaging/pic_1.jpg (Not enough "karma" to include the image/link.)

The cameras are close to each other and pointing at the same direction, but I can't make the assumption that they are aligned on the x or y axis.

So far I have read a lot of documentation about stereo imaging. But as far as I understand, my problem is different.

Am I dealing with an image rectification problem?

Is there a solution that uses the intrinsic and extrinsic matrices?

My setup has fixed, known parameters. Yet, because of other constraints I can't use the method of matching key points from the two images to compute the homography.

I have two camera of known intrinsic and extrinsic parameters.parameters. The parameters are in the same coordinate space and of same units.

Using Python 3, I would like to transform an image taken with one camera to the other camera's viewpoint so that I can overlay them. An example of what I'd like to achieve is: www.buildingconservation.com/articles/thermal-imaging/pic_1.jpg (Not enough "karma" to include the image/link.)

The cameras are close to each other and pointing at the same direction, but I can't make the assumption that they are aligned on the x or y axis.

So far I have read a lot of documentation about stereo imaging. But as far as I understand, my problem is different.

Am I dealing with an image rectification problem?

Is there a solution that uses the intrinsic and extrinsic matrices?

My setup has fixed, known parameters. Yet, because of other constraints I can't use the method of matching key points from the two images to compute the homography.