image_pipeline 0.9.0 released

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image_pipeline.png

image_pipeline-0.9.0 is now out. image_pipeline fills the gap between camera_drivers and higher-level vision processing. It includes a camera calibration GUI, a lightweight viewer for image topics, and nodes to perform color interpolation, rectification and stereo processing on camera images.

This is a stable release and has passed our user testing requirements. For changes see the changelist below. This release finally removes much long-deprecated code. In particular, the old stereoproc node is gone, as are all of the stereo messages excepting DisparityImage (which has a new definition).

Changes

image_proc:

  • Raw images may now be 8-bit mono, RGB, BGR, or any of the four bayer encodings.
  • Now using OpenCV for bayer interpolation.
  • Now using image_geometry for rectification.
  • Better error reporting when started in global namespace or input topics do not exist.

stereo_image_proc:

  • Inherited improvements from image_proc.
  • Now using OpenCV's block matching implementation to calculate the disparity image.
  • Parameters have changed to more closely follow OpenCV's options.
  • Publishing floating-point disparity image.
  • No longer publishing image_disparity, use stereo_view for visualization instead.
  • REMOVED deprecated stereoproc node and other obsolete files.

image_view:

  • stereo_view shows color-mapped disparity image along with left/right.

stereo_msgs:

  • New definition of DisparityImage. Disparities are now floating-point, not fixed-point. Better comments.
  • REMOVED all deprecated messages (RawStereo, DisparityInfo, StereoInfo).
  • Added split_rawstereo.py script to convert RawStereo bags to Image & CameraInfo bags.

camera_calibration:

  • GUI improvements.

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This page contains a single entry by kwc published on January 11, 2010 9:19 PM.

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