image_pipeline-1.1.0 has been released into latest. This is a development release; it is recommended for users to keep using the 1.0 branch in boxturtle. For more information see http://www.ros.org/wiki/StackVersionPolicy.

The major new features are in stereo_image_proc. It takes advantage of improvements to the OpenCV stereo block matcher, particularly to reduce fringe artifacts at edges. For comparison, the reference implementation of stereo block matching (on which OpenCV's was based) can be used instead, but they should now give roughly the same results. stereo_image_proc now advertises a separate point cloud topic using the new and improved PointCloud2 message type.

Cheers,
Patrick

For the full changelist see http://www.ros.org/wiki/image_pipeline/ChangeList

camera_calibration:

calibration no longer makes buggy assumptions about corner spacing always being .108m
Added a simple calibration script (camera_calibrate_from_disk.py) that loads a set of images from disk and performs monocular calibration returning the camera intrinsics.
Set projection matrix P correctly in monocular calibration.

image_proc:

Warn if color topic requested but raw image data is grayscale.

stereo_image_proc:

Allow using either the OpenCV block matcher or the Willow Garage reference implementation. Should give roughly the same results with vision_opencv 1.1 or greater.
Added points2 topic with the new sensor_msgs/PointCloud2 format.
Upped texture_threshold maximum to 10000; high values needed for simulated stereo images.