Opencv Template Matching Rotation

It is a pitty that the docummentation and community support are very poor.

Opencv template matching rotation. For example sift or surf descriptors and flann matcher. It simply slides the template images over the input image and compares the templates and patch under the input image. Normalize the output of the matching procedure. I am trying to understand and use it but with little success for now.

The problem with template matching is that it will not work if the template and desired object to find are not exactly the same in terms of size rotation or intensity. You should try opencv function from features2d framework. It simply slides the template image over the input image as in 2d convolution and compares the template and patch of input image under the template image. Template matching with matchtemplate is not good when your object is rotated or scaled in scene.

Template matching is a technique that is used to find the location of template images in a larger image. The symbols can differ in size and orientation. Now i don t how to go on. My templates are always simple symbols in building blueprints and the blueprints itself.

For example my simple blueprint. Hello please find the attached images. Assuming that only desired objects to detect are in the image here s a very simple contour thresholding filtering approach. Template matching is a method for searching and finding the location of a template image in a larger image.

And after matching these 2 images with opencv s template matching function i got that result. The user can choose the method by entering its selection in the trackbar. Perform a template matching procedure by using the opencv function matchtemplate with any of the 6 matching methods described before. Opencv provides the cv2 matchtemplates function for this purpose.

Template matching is a method for searching and finding the location of a template image in a larger image. In short algorithm is this. It simply slides the template image over the input image as in 2d convolution and compares the template and patch of input image under the template image. Opencv comes with a function cv2 matchtemplate for this purpose.

Also you will need findhomography method. It is a general purpose fast tracking library that uses opencv 1 0. Here is a good example of finding rotated object in scene. If a mask is supplied it will only be used for the methods that support masking.