What is the essential difference in the use of these 2 functions, estimateGe​ometricTra​nsform2D and fitgeotrans?

1 visualización (últimos 30 días)
For example, if there are a number of points (n>4) on two images that are projected to get the projection transformation matrix, and the specified parameter is transformationType = 'projective', which function should I choose to use first?

Respuesta aceptada

Kishan Dhakan
Kishan Dhakan el 16 de Jun. de 2021
The functions both do pretty much the same job.
'estimateGeometricTransform2D' takes in the input arguments matchedPoints1 and matchedPoints2 which can be specified as either a KAZEPoints object, cornerPoints object, SURFPoints object, MSERRegions object, ORBPoints object, BRISKPoints object, or an M-by-2 matrix in which each row is a pair of [x,y] coordinates and M is the number of matched points.
'fitgeotrans' takes input arguments movingPoints and fixedPoints, which can be only be specified as as an M-by-2 matrix of type 'double' or 'single'.
'fitgeotrans' supports 'nonreflectivesimilarity', 'similarity', 'affine', 'projective', 'polynomial', 'pwl', and 'lwm' as output tforms.
'estimateGeometricTransform2D' supports 'rigid', 'affine', 'similarity' and 'projective' as output tforms. It also provides additional outputs like statusCode and inlierIndex.
To answer your question, since 'projective' is supported in both, if you have KAZEPoints or other such objects, use estimateGeometricTransform2D. If you have [x,y] co-ordinates, you can use either.

Más respuestas (0)

Categorías

Más información sobre Point Cloud Processing en Help Center y File Exchange.

Productos


Versión

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by