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The most common application is camera calibration (making a model of what the lens is doing). Existing tools (opencv and friends) aren't very good. Downstream o
by dima55 5y ago
The most common application is camera calibration (making a model of what the lens is doing). Existing tools (opencv and friends) aren't very good. Downstream of that, anything that uses the calibration results to do stuff (usually either tracking the motion of the camera and/or making maps of what the camera is seeing) can make use of this toolkit also.
Currently the actual stuff you would do with the calibration (traking or mapping) is done by other libraries. The focus here is to produce a more precise, accurate calibration.
I'll clarify the docs
- nitrogen 5y agoAwesome, so if I'm understanding correctly it's analogous to, but better than, the lens modeling that a panorama stitcher will use, and its applications are as the calibration stage of an image stitching, 3D vision, object tracking, SLAM, structure from motion, and/or image-based measurement system? I've been fascinated by these things since high school and as a teenager tried to make my own object tracking system for special effects for a student film (and obviously failed), but apart from running a Kinect-based home/art/museum automation startup for a while, my life path did not lead me into computer vision.