Template:CUDA Accelerated GStreamer Camera Undistort/Main contents: Difference between revisions

m
no edit summary
mNo edit summary
mNo edit summary
Line 19: Line 19:
''' RidgeRun''' knows how important documentation is for your project, especially with CUDA Accelerated GStreamer Camera Undistort. Regardless of the complexity of the technology, proper documentation can reduce the learning curve and, more importantly, the time-to-market of your product. This wiki is a user guide for our '''CUDA Accelerated GStreamer Camera Undistort ''' project.
''' RidgeRun''' knows how important documentation is for your project, especially with CUDA Accelerated GStreamer Camera Undistort. Regardless of the complexity of the technology, proper documentation can reduce the learning curve and, more importantly, the time-to-market of your product. This wiki is a user guide for our '''CUDA Accelerated GStreamer Camera Undistort ''' project.


Image distortion correction is a process required when using lenses that misrepresent the real world; an undistortion algorithm takes a distorted source from a camera, and transforms it so that the output looks as true and correct as possible as if no distortion lenses were used.
Image distortion correction is a process required when using lenses that misrepresent the real world; an undistortion algorithm takes a distorted source from a camera and transforms it so that the output looks as true and correct as possible as if no distortion lenses were used.


CUDA Accelerated GStreamer '''Camera Undistort ''' is a RidgeRun product which implements this algorithm, as well as a GStreamer element so that you can integrate it into your pipeline for any other further needed processing.  It transforms the input images in such a way that the distortion is no longer detected. This means you can supply the result to further algorithms downstream or use it for human consumption without having to adequate the undistort output.
CUDA Accelerated GStreamer '''Camera Undistort ''' is a RidgeRun product which implements this algorithm, as well as a GStreamer element so that you can integrate it into your pipeline for any other further needed processing.  It transforms the input images in such a way that the distortion is no longer detected. This means you can supply the result to further algorithms downstream or use it for human consumption without having to adequate the undistort output.