Age | Commit message (Collapse) | Author |
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EXPECT_EQ wasn't defined in the scope.
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It was rather stupid having it in brute region tracker,
now it is in own file in base library.
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Pass the arrays by reference rather than by value,
should give some percent of speedup.
Also don't pass the dimensions to the function but
get them from the images themselves.
Hopefully this will give some %% of tracker speedup.
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This commit makes it so CameraIntrinsics is no longer hardcoded
to use the traditional polynomial radial distortion model. Currently
the distortion code has generic logic which is shared between
different distortion models, but had no other models until now.
This moves everything specific to the polynomial radial distortion
to a subclass PolynomialDistortionCameraIntrinsics(), and adds a
new division distortion model suitable for cameras such as the
GoPro which have much stronger distortion due to their fisheye lens.
This also cleans up the internal API of CameraIntrinsics to make
it easier to understand and reduces old C-style code.
New distortion model is available in the Lens panel of MCE.
- Polynomial is the old well-known model
- Division is the new one which s intended to deal better with huge
distortion.
Coefficients of this model works independent from each other
and for division model one probably want to have positive values
to have a barrel distortion.
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Stupid vector initialization error.
Should be in 'a'.
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Just update to the changelog
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This is mainly a maintaince commit which syncs changes
between Blender and Libmv upstream also bringing new
GLog version.
This GLog version is presumably have better support of
MinGW from "the box".
This commit is also aimed to make further 3d part libs
update easier.
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FAST detector has been replaced with fancier Harris,
so no need to keep FAST library in the sources now.
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Currently no functional changes, but we might want
to have scoped_array in the future.
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First thing changed by this commit is making it so
Euclidean intersection takes track weight into account
when solving minimization problem. This behaves the
same exact way as it is for BA step.
Second thing is related on how average reprojection error
is being calculated. It didn't take track weight into
account which could confuse users. Now average reprojection
error will give the same result as intersection/BA uses
during minimization which gives much more predictable
behavior.
Differential Revision: https://developer.blender.org/D265
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Using tracks with constant zero weight used to crash
keyframe selection since it was trying to use missing
parameter blocks for Jacobian evaluation,
Also fixed possible issues with wrong camera block being
marked as variable. This could technically happen when
having zero weighted tracks. Made it so all camera blocks
are marked as variable for now.
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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.
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Original patch is by Jeorg Sonnenberger, thanks!
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Mainly fixed some style warnings reported by cpplint.
Also changed how camera (un)distortion happens internally
by replacing number of channels as a template argument
with number as channels passing as function argument.
Makes code easier to follow by eliminating loads checks
how much channels are used and which argument to pass to
the template.
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No functional changes, just to make sure all the patches
are ported nicely and that update scripts works fine.
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Fixes compilation error on win32 and shall give few
cpu ticks boost by passing vectors by reference rather
than by value.
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They were giving compilation error with msvc2012,
and instead of having workaround in them let's
drop them away form blender (they're not used even).
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- Added const modifiers where it makes sense and
helps keep code safe.
- Reshuffled argument to match <inputs>,<outputs>
convention on parameters.
- Pass values to ApplyRadialDistortionCameraIntrinsics
by a constant reference.
This will save lots of CPU ticks passing relatively
heavy jet objects to this function when running
bundle adjustment.
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- Ensures fix for msvc2012 is applying correct.
- Some code cleanup to match libmv's code style.
- Do not include points which were intersect
behind the camera to a reconstruction.
- Includes changes needed for keyframe selection.
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This commit bundles new libmv version from own branch
which brings fix for wrong parameter block used for
modal solver parameterization.
Fixes #34985: Crash with Motion tracker (Tripod Motion)
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- Solves some strict compilation warning
- Style/code cleanup
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is copying properly to our sources.
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Should be no functional changes, just would help a lot
checking on which stuff was/shall be merged from tomato
and which is not.
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Should be no functional changes.
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Added modal solver module which is needed for tripod solving.
For details of this solver read changelog of libmv.
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implementation
Currently not used in blender code but is needed for some current work.
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compilation of glog on hurd platform.
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Should resolve compilation error on some platforms when using linux and
compilation error of libmv on FreeBSB.
It was a regression caused by not applied changes on config_linux.h
and some changes made to utilities.cc were also occasionally missed.
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This version of libmv includes new gflags and glog libraries which makes
it possible to compile libmv with clang compiler.
Also remove code from CMakeLists which was disabling libmv if using clang.
Tested on linux with gcc-4.6 and clang-3.0, windows cmake+msvc and scons+mingw.
Could be some issues with other platforms/build system which shall be simple to resolve.
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Needed to make constants like M_E defined in msvc. Was occasionally
removed on moving main changes in libmv from patch files in blender
repo to won repo (rev44190).
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and which includes latest changes from Keir's branch.
Hopefully it'll make backporting of changes back to main libmv repo easier.
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===========================
Commiting camera tracking integration gsoc project into trunk.
This commit includes:
- Bundled version of libmv library (with some changes against official repo,
re-sync with libmv repo a bit later)
- New datatype ID called MovieClip which is optimized to work with movie
clips (both of movie files and image sequences) and doing camera/motion
tracking operations.
- New editor called Clip Editor which is currently used for motion/tracking
stuff only, but which can be easily extended to work with masks too.
This editor supports:
* Loading movie files/image sequences
* Build proxies with different size for loaded movie clip, also supports
building undistorted proxies to increase speed of playback in
undistorted mode.
* Manual lens distortion mode calibration using grid and grease pencil
* Supervised 2D tracking using two different algorithms KLT and SAD.
* Basic algorithm for feature detection
* Camera motion solving. scene orientation
- New constraints to "link" scene objects with solved motions from clip:
* Follow Track (make object follow 2D motion of track with given name
or parent object to reconstructed 3D position of track)
* Camera Solver to make camera moving in the same way as reconstructed camera
This commit NOT includes changes from tomato branch:
- New nodes (they'll be commited as separated patch)
- Automatic image offset guessing for image input node and image editor
(need to do more tests and gather more feedback)
- Code cleanup in libmv-capi. It's not so critical cleanup, just increasing
readability and understanadability of code. Better to make this chaneg when
Keir will finish his current patch.
More details about this project can be found on this page:
http://wiki.blender.org/index.php/User:Nazg-gul/GSoC-2011
Further development of small features would be done in trunk, bigger/experimental
features would first be implemented in tomato branch.
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