{"id":5838,"date":"2022-11-01T16:31:08","date_gmt":"2022-11-01T20:31:08","guid":{"rendered":"https:\/\/blogs.mathworks.com\/steve\/?p=5838"},"modified":"2022-11-01T16:33:50","modified_gmt":"2022-11-01T20:33:50","slug":"new-geometric-transformation-matrix-convention-in-r2022b","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/steve\/2022\/11\/01\/new-geometric-transformation-matrix-convention-in-r2022b\/","title":{"rendered":"New Geometric Transformation Matrix Convention in R2022b"},"content":{"rendered":"
In the R2022b release, Image Processing Toolbox includes several new geometric transformation objects, such as <\/span>rigidtform2d<\/span>, <\/span>affinetform3d<\/span>, etc., that use the <\/span>premultiply<\/span> matrix convention instead of the <\/span>postmultiply<\/span> convention. Several other related toolbox functions, such as <\/span>imregtform<\/span>, now preferentially use these new objects. There are functions in the Computer Vision Toolbox and Lidar Toolbox that now use the premultiply convention and new objects. These changes also improve the design consistency with Robotics System Toolbox and Navigation Toolbox.<\/span><\/div>
For the key information in the documentation, see:<\/span><\/div>