Providing feature rich overlap for stitching 2 photos?

asked 2014-08-19 08:41:17 -0500

RonM gravatar image

updated 2014-08-20 10:04:06 -0500

Hi,

I would like to stitch two photos (horizontally) with a minimum of overlap between them. But I can control what is in the overlap of the two photos, as indicated by the orange segment shown in the picture. image description

For example, I could print out a pattern that will help the feature finding step in the open-cv stitcher algorithm. Using the SURF feature detector.

My question is: what sort of pattern (i.e chessboard, or something with lots of corners, etc) would be the best for the task of feature finding and stitching the photos? Best = most pairwise matches can be found between the two photos.

I will clarify my goal: I have two cameras who are fixed one relative to the other (assuming negligible distance between them for homography calculation purposes) and I would like to use the stitching process to find the transformation between the cameras. So I don't have actual photos, my aim is to create a "calibration target" which I can photograph using the 2 cameras. So I can decide what the photos will be of, and don't have any 2 specific photos right now. I want a minimum overlap between the fields of view of the cameras (not more than a sheet of paper at 10 meters distance from the cameras), that's why I'm trying to make what little overlap I have count the most (thus I want to "pack" it with easy to identify features). Then, after I have computed the transformation from the calibration phase, I can use it to speed up the stitching process for images taken from the cameras in the future.

Thanks in advance,

Ron

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Comments

can you upload the photo here?

Balaji R gravatar imageBalaji R ( 2014-08-20 04:21:12 -0500 )edit

Hi Balaji, I don't have photos, I need to create the setting which I will then photograph. I think I wasn't clear enough as to what I'm trying to do, so I updated the original post to clarify my goal.

RonM gravatar imageRonM ( 2014-08-20 07:43:35 -0500 )edit