See this page for motivation and description of concepts:
https://github.com/Ichthyostega/blender/wiki
See this video for UI explanation and demonstration of usage
http://vimeo.com/blenderHack/stabilizerdemo
This proposal attempts to improve usability of Blender's image stabilization
feature for real-world footage esp. with moving and panning camera. It builds
upon the feature tracking to get a measurement of 2D image movement.
- Use a weighted average of movement contributions (instead of a median).
- Allow for rotation compensation and zoom (image scale) compensation.
- Allow to pick a different set of tracks for translation and for
rotation/zoom.
- Treat translation / rotation / zoom contributions systematically in a
similar way.
- Improve handling of partial tracking data with gaps and varying
start / end points.
- Have a user definable anchor frame and interpolate / extrapolate data to
avoid jumping back to "neutral" position when no tracking data is available.
- Support for travelling and panning shots by including an //intended//
position/rotation/zoom ("target position"). The idea is for these parameters
to be //animated// by the user, in order to supply an smooth, intended
camera movement. This way, we can keep the image content roughly in frame
even when moving completely away from the initial view.
A known shortcoming is that the pivot point for rotation compensation is set to
the translation compensated image center. This can produce spurious rotation on
travelling shots, which needs to be compensated manually (by animating the
target rotation parameter). There are several possible ways to address that
problem, yet all of them are considered beyond the scope of this improvement
proposal for now.
Own modifications:
- Restrict line length, it's really handy for split-view editing
- In motion tracking we prefer fully human-readable comments, meaning we
don't use doxygen with it's weird markup and comments are supposed to
start with capital and end with a full stop,
- Add explicit comparison of pointer to NULL.
Reviewers: sergey
Subscribers: kusi, kdawg, forest-house, mardy, Samoth, plasmasolutions, willolis, sebastian_k, hype, enetheru, sunboy, jta, leon_cheung
Maniphest Tasks: T49036
Differential Revision: https://developer.blender.org/D583
Previously it was simplier logic which only checked whether the mouse
is inside of some area around sliding zone, which was resulting in
wrong sliding zone used when zoomed out.
- Add blentranslation `BLT_*` module.
- moved & split `BLF_translation.h` into (`BLT_translation.h`, `BLT_lang.h`).
- moved `BLF_*_unifont` functions from `blf_translation.c` to new source file `blf_font_i18n.c`.
The title actually tells it all, this commit switches Blender to use the new
autotrack API from Libmv.
From the user point of view it means that prediction model is now used when
tracking which gives really nice results.
All the other changes are not really visible for users, those are just frame
accessors, caches and so for the new API.
Switch the detector API to a single function which accepts
a float image and detector options. This makes usage of
feature detection more unified across different algorithms.
Options structure is pretty much straightforward and contains
detector to be used and all the detector-specific settings.
Also implemented Harris feature detection algorithm which
is not as fast as FAST one but is expected to detect more
robust feature points. It is also likely that less features
are detected, but better quality than quantity.
Blender will now use Harris detector by default, later we'll
remove FAST detector.
