bundle_adjust_mosaicT_bundle_adjust_mosaicBundleAdjustMosaicBundleAdjustMosaic (Operator)
Name
bundle_adjust_mosaicT_bundle_adjust_mosaicBundleAdjustMosaicBundleAdjustMosaic
— Perform a bundle adjustment of an image mosaic.
Signature
bundle_adjust_mosaic( : : NumImages, ReferenceImage, MappingSource, MappingDest, HomMatrices2D, Rows1, Cols1, Rows2, Cols2, NumCorrespondences, Transformation : MosaicMatrices2D, Rows, Cols, Error)
Herror T_bundle_adjust_mosaic(const Htuple NumImages, const Htuple ReferenceImage, const Htuple MappingSource, const Htuple MappingDest, const Htuple HomMatrices2D, const Htuple Rows1, const Htuple Cols1, const Htuple Rows2, const Htuple Cols2, const Htuple NumCorrespondences, const Htuple Transformation, Htuple* MosaicMatrices2D, Htuple* Rows, Htuple* Cols, Htuple* Error)
void BundleAdjustMosaic(const HTuple& NumImages, const HTuple& ReferenceImage, const HTuple& MappingSource, const HTuple& MappingDest, const HTuple& HomMatrices2D, const HTuple& Rows1, const HTuple& Cols1, const HTuple& Rows2, const HTuple& Cols2, const HTuple& NumCorrespondences, const HTuple& Transformation, HTuple* MosaicMatrices2D, HTuple* Rows, HTuple* Cols, HTuple* Error)
static HHomMat2DArray HHomMat2D::BundleAdjustMosaic(Hlong NumImages, Hlong ReferenceImage, const HTuple& MappingSource, const HTuple& MappingDest, const HHomMat2DArray& HomMatrices2D, const HTuple& Rows1, const HTuple& Cols1, const HTuple& Rows2, const HTuple& Cols2, const HTuple& NumCorrespondences, const HString& Transformation, HTuple* Rows, HTuple* Cols, HTuple* Error)
static HHomMat2DArray HHomMat2D::BundleAdjustMosaic(Hlong NumImages, Hlong ReferenceImage, const HTuple& MappingSource, const HTuple& MappingDest, const HHomMat2DArray& HomMatrices2D, const HTuple& Rows1, const HTuple& Cols1, const HTuple& Rows2, const HTuple& Cols2, const HTuple& NumCorrespondences, const HString& Transformation, HTuple* Rows, HTuple* Cols, double* Error)
static HHomMat2DArray HHomMat2D::BundleAdjustMosaic(Hlong NumImages, Hlong ReferenceImage, const HTuple& MappingSource, const HTuple& MappingDest, const HHomMat2DArray& HomMatrices2D, const HTuple& Rows1, const HTuple& Cols1, const HTuple& Rows2, const HTuple& Cols2, const HTuple& NumCorrespondences, const char* Transformation, HTuple* Rows, HTuple* Cols, double* Error)
static HHomMat2DArray HHomMat2D::BundleAdjustMosaic(Hlong NumImages, Hlong ReferenceImage, const HTuple& MappingSource, const HTuple& MappingDest, const HHomMat2DArray& HomMatrices2D, const HTuple& Rows1, const HTuple& Cols1, const HTuple& Rows2, const HTuple& Cols2, const HTuple& NumCorrespondences, const wchar_t* Transformation, HTuple* Rows, HTuple* Cols, double* Error)
(Windows only)
static void HOperatorSet.BundleAdjustMosaic(HTuple numImages, HTuple referenceImage, HTuple mappingSource, HTuple mappingDest, HTuple homMatrices2D, HTuple rows1, HTuple cols1, HTuple rows2, HTuple cols2, HTuple numCorrespondences, HTuple transformation, out HTuple mosaicMatrices2D, out HTuple rows, out HTuple cols, out HTuple error)
static HHomMat2D[] HHomMat2D.BundleAdjustMosaic(int numImages, int referenceImage, HTuple mappingSource, HTuple mappingDest, HHomMat2D[] homMatrices2D, HTuple rows1, HTuple cols1, HTuple rows2, HTuple cols2, HTuple numCorrespondences, string transformation, out HTuple rows, out HTuple cols, out HTuple error)
static HHomMat2D[] HHomMat2D.BundleAdjustMosaic(int numImages, int referenceImage, HTuple mappingSource, HTuple mappingDest, HHomMat2D[] homMatrices2D, HTuple rows1, HTuple cols1, HTuple rows2, HTuple cols2, HTuple numCorrespondences, string transformation, out HTuple rows, out HTuple cols, out double error)
Description
bundle_adjust_mosaicbundle_adjust_mosaicBundleAdjustMosaicBundleAdjustMosaicBundleAdjustMosaic
performs a bundle adjustment of an
image mosaic. This can be used to determine the geometry of a
mosaic as robustly as possible, and hence to determine the
transformations of the images in the mosaic more accurately than
with single image pairs.
To achieve this, the projective transformation for each overlapping
image pair in the mosaic should be determined with
proj_match_points_ransacproj_match_points_ransacProjMatchPointsRansacProjMatchPointsRansacProjMatchPointsRansac
. For example, for a
2×2 block of images in the following layout
the following projective transformations should be determined,
assuming that all images overlap each other: 1->2,
1->3, 1->4, 2->3,
2->4 and 3->4. The indices of the
images that determine the respective transformation are given by
MappingSourceMappingSourceMappingSourceMappingSourcemappingSource
and MappingDestMappingDestMappingDestMappingDestmappingDest
. The indices are
start at 1. Consequently, in the above example
MappingSourceMappingSourceMappingSourceMappingSourcemappingSource
= [1,1,1,2,2,3] and
MappingDestMappingDestMappingDestMappingDestmappingDest
= [2,3,4,3,4,4] must be used. The
number of images in the mosaic is given by NumImagesNumImagesNumImagesNumImagesnumImages
. It
is used to check whether each image can be reached by a chain of
transformations. The index of the reference image is given by
ReferenceImageReferenceImageReferenceImageReferenceImagereferenceImage
. On output, this image has the identity
matrix as its transformation matrix.
The 3×3 projective transformation matrices that
correspond to the image pairs are passed in HomMatrices2DHomMatrices2DHomMatrices2DHomMatrices2DhomMatrices2D
.
Additionally, the coordinates of the matched point pairs in the
image pairs must be passed in Rows1Rows1Rows1Rows1rows1
, Cols1Cols1Cols1Cols1cols1
,
Rows2Rows2Rows2Rows2rows2
, and Cols2Cols2Cols2Cols2cols2
. They can be determined from the
output of proj_match_points_ransacproj_match_points_ransacProjMatchPointsRansacProjMatchPointsRansacProjMatchPointsRansac
with tuple_selecttuple_selectTupleSelectTupleSelectTupleSelect
or with the HDevelop function subset
. To enable
bundle_adjust_mosaicbundle_adjust_mosaicBundleAdjustMosaicBundleAdjustMosaicBundleAdjustMosaic
to determine which point pair belongs
to which image pair, NumCorrespondencesNumCorrespondencesNumCorrespondencesNumCorrespondencesnumCorrespondences
must contain the
number of found point matches for each image pair.
The parameter TransformationTransformationTransformationTransformationtransformation
determines the class of
transformations that is used in the bundle adjustment to transform
the image points. This can be used to restrict the allowable
transformations. For TransformationTransformationTransformationTransformationtransformation
=
'projective'"projective""projective""projective""projective", projective transformations are used (see
vector_to_proj_hom_mat2dvector_to_proj_hom_mat2dVectorToProjHomMat2dVectorToProjHomMat2dVectorToProjHomMat2d
). For TransformationTransformationTransformationTransformationtransformation
=
'affine'"affine""affine""affine""affine", affine transformations are used (see
vector_to_hom_mat2dvector_to_hom_mat2dVectorToHomMat2dVectorToHomMat2dVectorToHomMat2d
), for TransformationTransformationTransformationTransformationtransformation
=
'similarity'"similarity""similarity""similarity""similarity", similarity transformations (see
vector_to_similarityvector_to_similarityVectorToSimilarityVectorToSimilarityVectorToSimilarity
), and for TransformationTransformationTransformationTransformationtransformation
=
'rigid'"rigid""rigid""rigid""rigid" rigid transformations (see
vector_to_rigidvector_to_rigidVectorToRigidVectorToRigidVectorToRigid
).
The resulting bundle-adjusted transformations are returned as an
array of 3×3 projective transformation matrices in
MosaicMatrices2DMosaicMatrices2DMosaicMatrices2DMosaicMatrices2DmosaicMatrices2D
. In addition, the points reconstructed by
the bundle adjustment are returned in (RowsRowsRowsRowsrows
,
ColsColsColsColscols
). The average projection error of the reconstructed
points is returned in ErrorErrorErrorErrorerror
. This can be used to check
whether the optimization has converged to useful values.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Parameters
NumImagesNumImagesNumImagesNumImagesnumImages
(input_control) integer →
HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Number of different images that are used for
the calibration.
Restriction: NumImages >= 2
ReferenceImageReferenceImageReferenceImageReferenceImagereferenceImage
(input_control) integer →
HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Index of the reference image.
MappingSourceMappingSourceMappingSourceMappingSourcemappingSource
(input_control) integer-array →
HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Indices of the source images of the transformations.
MappingDestMappingDestMappingDestMappingDestmappingDest
(input_control) integer-array →
HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Indices of the target images of the transformations.
HomMatrices2DHomMatrices2DHomMatrices2DHomMatrices2DhomMatrices2D
(input_control) hom_mat2d-array →
HHomMat2D, HTupleHTupleHtuple (real) (double) (double) (double)
Array of 3×3 projective
transformation matrices.
Rows1Rows1Rows1Rows1rows1
(input_control) point.x-array →
HTupleHTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)
Row coordinates of corresponding points in the
respective source images.
Cols1Cols1Cols1Cols1cols1
(input_control) point.y-array →
HTupleHTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)
Column coordinates of corresponding points in
the respective source images.
Rows2Rows2Rows2Rows2rows2
(input_control) point.x-array →
HTupleHTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)
Row coordinates of corresponding points in the
respective destination images.
Cols2Cols2Cols2Cols2cols2
(input_control) point.y-array →
HTupleHTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)
Column coordinates of corresponding points in
the respective destination images.
NumCorrespondencesNumCorrespondencesNumCorrespondencesNumCorrespondencesnumCorrespondences
(input_control) integer-array →
HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Number of point correspondences in the
respective image pair.
TransformationTransformationTransformationTransformationtransformation
(input_control) string →
HTupleHTupleHtuple (string) (string) (HString) (char*)
Transformation class to be used.
Default value:
'projective'
"projective"
"projective"
"projective"
"projective"
List of values: 'affine'"affine""affine""affine""affine", 'projective'"projective""projective""projective""projective", 'rigid'"rigid""rigid""rigid""rigid", 'similarity'"similarity""similarity""similarity""similarity"
MosaicMatrices2DMosaicMatrices2DMosaicMatrices2DMosaicMatrices2DmosaicMatrices2D
(output_control) hom_mat2d-array →
HHomMat2D, HTupleHTupleHtuple (real) (double) (double) (double)
Array of 3×3 projective
transformation matrices that determine the
position of the images in the mosaic.
RowsRowsRowsRowsrows
(output_control) point.x-array →
HTupleHTupleHtuple (real) (double) (double) (double)
Row coordinates of the points reconstructed by the
bundle adjustment.
ColsColsColsColscols
(output_control) point.y-array →
HTupleHTupleHtuple (real) (double) (double) (double)
Column coordinates of the points reconstructed by the
bundle adjustment.
ErrorErrorErrorErrorerror
(output_control) real(-array) →
HTupleHTupleHtuple (real) (double) (double) (double)
Average error per reconstructed point.
Example (HDevelop)
* Assume that Images contains the four images of the mosaic in the
* layout given in the above description. Then the following example
* computes the bundle-adjusted transformation matrices.
From := [1,1,1,2,2,3]
To := [2,3,4,3,4,4]
HomMatrices2D := []
Rows1 := []
Cols1 := []
Rows2 := []
Cols2 := []
NumMatches := []
for J := 0 to |From|-1 by 1
select_obj (Images, ImageF, From[J])
select_obj (Images, ImageT, To[J])
points_foerstner (ImageF, 1, 2, 3, 100, 0.1, 'gauss', 'true', \
RowsF, ColsF, _, _, _, _, _, _, _, _)
points_foerstner (ImageT, 1, 2, 3, 100, 0.1, 'gauss', 'true', \
RowsT, ColsT, _, _, _, _, _, _, _, _)
proj_match_points_ransac (ImageF, ImageT, RowsF, ColsF, RowsT, ColsT, \
'ncc', 10, 0, 0, 480, 640, 0, 0.5, \
'gold_standard', 2, 42, HomMat2D, \
Points1, Points2)
HomMatrices2D := [HomMatrices2D,HomMat2D]
Rows1 := [Rows1,subset(RowsF,Points1)]
Cols1 := [Cols1,subset(ColsF,Points1)]
Rows2 := [Rows2,subset(RowsT,Points2)]
Cols2 := [Cols2,subset(ColsT,Points2)]
NumMatches := [NumMatches,|Points1|]
endfor
bundle_adjust_mosaic (4, 1, From, To, HomMatrices2D, Rows1, Cols1, \
Rows2, Cols2, NumMatches, 'rigid', MosaicMatrices, \
Rows, Columns, Error)
gen_bundle_adjusted_mosaic (Images, MosaicImage, HomMatrices2D, \
'default', 'false', TransMat2D)
Result
If the parameters are valid, the operator
bundle_adjust_mosaicbundle_adjust_mosaicBundleAdjustMosaicBundleAdjustMosaicBundleAdjustMosaic
returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
Possible Predecessors
proj_match_points_ransacproj_match_points_ransacProjMatchPointsRansacProjMatchPointsRansacProjMatchPointsRansac
,
proj_match_points_ransac_guidedproj_match_points_ransac_guidedProjMatchPointsRansacGuidedProjMatchPointsRansacGuidedProjMatchPointsRansacGuided
Possible Successors
gen_bundle_adjusted_mosaicgen_bundle_adjusted_mosaicGenBundleAdjustedMosaicGenBundleAdjustedMosaicGenBundleAdjustedMosaic
See also
gen_projective_mosaicgen_projective_mosaicGenProjectiveMosaicGenProjectiveMosaicGenProjectiveMosaic
Module
Matching