detail_BundleAdjusterBase
import { detail_BundleAdjusterBase } from '@banou/opencv-wasm'Use after await initOpenCV(). See the initialization and named imports guide.
Native object: release it with using or delete(). Factories can return null; check before calling methods. Inherits detail_Estimator.
Base class for all camera parameters refinement methods.
Constructors and members
clone
Create another handle to the same native object. This retains the object without copying its pixels or algorithm state; dispose both handles separately.
clone(): this;The this result.
refinementMask
Return the mask controlling which camera intrinsic parameters the bundle adjuster refines.
refinementMask(): Mat;The Mat result. Release returned native handles with using or delete(), including handles nested in results.
setRefinementMask
Set the refinement mask used by this detail_BundleAdjusterBase object.
setRefinementMask(mask: Mat): void;maskmask argument (Mat).
confThresh
Return the minimum pairwise-match confidence used by bundle adjustment.
confThresh(): number;The number result.
setConfThresh
Set the conf thresh used by this detail_BundleAdjusterBase object.
setConfThresh(conf_thresh: number): void;conf_threshconf thresh argument (number).
termCriteria
Return the iteration-count and accuracy criteria used to stop bundle adjustment.
termCriteria(): TermCriteria;The TermCriteria result.
setTermCriteria
Set the term criteria used by this detail_BundleAdjusterBase object.
setTermCriteria(term_criteria: TermCriteria): void;term_criteriaterm criteria argument (TermCriteria).
These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.