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"Sparse" alignment image upscaling? #3
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Hi Florian, thanks for your pull request! This is indeed functionality that is desirable and fitting for inclusion in librealsense. Give us a couple days to work with our legal team on a CLA agreement for this project. |
OK, let me know what you need. Instead of a full-scale CLA, would it be sufficient if I also declare my patch to be under Apache-2.0 license? |
This was referenced Dec 5, 2017
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…alsense_packages Renamed realsense packages to avoid name conflicts.
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…rnet_device give uniqe id per stream
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1. Remove conversion to float on get_extrinsics()
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More renaming.
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This was referenced Mar 21, 2024
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Hi again, I'm sort-of misusing the issue tracker as a forum now, feel free to close if not intended :-)
That being said, I noticed that e.g. when using
rs::stream::depth_aligned_to_color
at a higher color resolution, you get a "sparse" image. This is, of course, expected as https://github.com/IntelRealSense/librealsense/blob/master/src/image.cpp#L356 only maps one single source pixel to a single target pixel.In
libfreenect2
, we had implemented a naive-but-mostly-sufficient nearest-neighbor upscaling procedure for this case so that you can get a dense, color-aligned depth image. Would you be interested in a PR implementing a similar behaviour forlibrealsense
? Then I'll prepare one.The text was updated successfully, but these errors were encountered: