Video encoding for OpenNI topics to record them to a rosbag and replay through reconstruction of point clouds.
Includes libav_image_transport by Dominique Hunziker: https://github.com/rapyuta/libav_image_transport.
To put the compression gains of this library in context, here is a comparison to the default ROS image compression and the uncompressed images.
Both the ffv1 codec and the theora codec takes up quite a lot of CPU when compressing the OpenNI streams at 30 fps. The following CPU usages were measured on my Core i7 laptop.
