モジュール | |
| Features Finding and Images Matching | |
| Rotation Estimation | |
| Autocalibration | |
| Images Warping | |
| Seam Estimation | |
| Exposure Compensation | |
| Image Blenders | |
クラス | |
| class | cv::Stitcher |
| High level image stitcher. [詳解] | |
| struct | cv::detail::CameraParams |
| Describes camera parameters. [詳解] | |
| class | cv::detail::Timelapser |
| class | cv::detail::TimelapserCrop |
| class | cv::detail::DisjointSets |
| struct | cv::detail::GraphEdge |
| class | cv::detail::Graph |
関数 | |
| CV_DEPRECATED Ptr< Stitcher > | cv::createStitcher (bool try_use_gpu=false) |
| CV_DEPRECATED Ptr< Stitcher > | cv::createStitcherScans (bool try_use_gpu=false) |
| CV_EXPORTS_W bool | cv::detail::overlapRoi (Point tl1, Point tl2, Size sz1, Size sz2, Rect &roi) |
| CV_EXPORTS_W Rect | cv::detail::resultRoi (const std::vector< Point > &corners, const std::vector< UMat > &images) |
| CV_EXPORTS_W Rect | cv::detail::resultRoi (const std::vector< Point > &corners, const std::vector< Size > &sizes) |
| CV_EXPORTS_W Rect | cv::detail::resultRoiIntersection (const std::vector< Point > &corners, const std::vector< Size > &sizes) |
| CV_EXPORTS_W Point | cv::detail::resultTl (const std::vector< Point > &corners) |
| CV_EXPORTS_W void | cv::detail::selectRandomSubset (int count, int size, std::vector< int > &subset) |
| CV_EXPORTS_W int & | cv::detail::stitchingLogLevel () |
| cv::detail::GraphEdge::GraphEdge (int from, int to, float weight) | |
詳解
This figure illustrates the stitching module pipeline implemented in the Stitcher class. Using that class it's possible to configure/remove some steps, i.e. adjust the stitching pipeline according to the particular needs. All building blocks from the pipeline are available in the detail namespace, one can combine and use them separately.
The implemented stitching pipeline is very similar to the one proposed in [BL07] .
Camera models
There are currently 2 camera models implemented in stitching pipeline.
- Homography model expecting perspective transformations between images implemented in cv::detail::BestOf2NearestMatcher cv::detail::HomographyBasedEstimator cv::detail::BundleAdjusterReproj cv::detail::BundleAdjusterRay
- Affine model expecting affine transformation with 6 DOF or 4 DOF implemented in cv::detail::AffineBestOf2NearestMatcher cv::detail::AffineBasedEstimator cv::detail::BundleAdjusterAffine cv::detail::BundleAdjusterAffinePartial cv::AffineWarper
Homography model is useful for creating photo panoramas captured by camera, while affine-based model can be used to stitch scans and object captured by specialized devices. Use cv::Stitcher::create to get preconfigured pipeline for one of those models.
- 覚え書き
- Certain detailed settings of cv::Stitcher might not make sense. Especially you should not mix classes implementing affine model and classes implementing Homography model, as they work with different transformations.
