This brings the ability to have numerically differentiated
cost functions to be added with its structure decided on
runtime rather than compile time.
And some minor cleanups.
Two things still need to be done.
a. Update the modeling docs.
b. Remove RuntimeNumericDiffCostFunction in ceres::internal
and replace its usage with DynamicNumericDiffCostFunction.
Change-Id: Ib771f093f29236c95a99df31c584d579b8e36615
1. Bug fix in NumericDiffCostFunction (Thanks to Nicolas Brodu).
2. Minor documentation update in solver.h
3. Version history update.
4. Bump the version and ABI version.
Change-Id: I951574ddd0b2c4c03b9c79ff33eb9bea549071e7
This class is used to create local parameterization
with Jacobians computed via automatic differentiation.
To get an auto differentiated local parameterization,
class with a templated operator() (a functor) that
computes
plus_delta = Plus(x, delta);
shall be defined.
Then given such functor, the auto differentiated local
parameterization can be constructed as
LocalParameterization* local_parameterization =
new AutoDiffLocalParameterization<PlusFunctor, 4, 3>;
| |
Global Size ---------------+ |
Local Size -------------------+
See autodiff_local_parameterization.h for more information
and usage example.
Initial implementation by Keir Mierle, finished by self
and integrated into Ceres and covered with unit tests
by Sameer Agarwal.
Change-Id: I1b3e48ae89f81e0cf1f51416c5696e18223f4b21
This will make it possible to write code which detects Ceres
versions and does different things with different versions.
Ideally this wouldn't be necessary, but in practice it is
sometimes useful.
Change-Id: I8d9f56d664ef75706e87c9bd7954e709dd7c0278
Sameer Agarwal