For each global motion parameter, search some step
size to the left and right to try and minimize warp
mse and correct for error.
Change-Id: I1f0b464b0924d56b15460e509f89736af9b7e78f
With this patch, the ZEROMV mode is overloaded to represent
a single global dominant motion using one of three models:
1. True zero translation motion (as before)
2. A translation motion different from 0
3. A Rotation-zoom affine model where the predictor is warped
The actual model used is indicated at the frame level for
each reference frame.
A metric that computes the ratio of the error with a global
non-zero model to the error for zero motion, is used to
determine on the encoder side whether to use one of the two
non-zero models or not.
Change-Id: I1f3d235b8860e543191237024a89041ff3aad689
Implements a first version of global motion where the
existing ZEROMV mode is converted to a translation only
global motion mode.
A lot of the code for supporting a rotation-zoom affine
model is also incorporated.
WIP.
Change-Id: Ia1288a8dfe82f89484d4e291780288388e56d91b
This code is to start experiments with global motion models.
The corner detection can be either fast_9 or Harris.
Corner matching is currently based on normalized correlation.
Three flavors of ransac are used to estimate either a
homography (8-param), or an affine model (6-param) or a
rotation-zoom only affine model (4-param).
The highest level API for the library is in vp9_global_motion.h,
where there are two functions - one for computing a single model
and another for computing multiple models up to a maximum number
provided or until a desired inlier probability is achieved.
Change-Id: I3f9788ec2dc0635cbc65f5c66c6ea8853cfcf2dd
