I'm looking for someone who can help to me filter templates and in general improve my code... Currently my application works like below:
1) generate descriptors and key-points for each template, keep in database
2) when starting app, marge descriptors (vstack) and keypoints (extend) by filename (starts from same file-name mean same template)
3) load to memory template images and vstack all descriptors
4) perform knnMatch and simple filter matches
5) if match in index image +1
I need you to help me implement those methods:
a) Perform matching in two directions i.e for each point in first image find the best match in second image and vice versa .
b) Perform ratio test(ratio test of euclidean distances) between matches to eliminate ambiguous matches
c) Perform RANSAC test: it's a model fitting algorithm which finds the best data which fits the model and removes outliers.
d) Perform homography: it is an image projection algorithm.
The current problem is that sometimes the application returns incorrect results, that is, the returned template is incorrect.
26 pekerja bebas membida secara purata $172 untuk pekerjaan ini
Hello, I'm very interested in your project. I have good experience with python, opencv, and ML. I read your requirements carefully. And I want to see your current project. Please send me your data. Regards.
Hi, My name is Cristhian an experienced developer, I read all your description and I am so interested in, I would appreciate a lot if we discuss details in [login to view URL] regards
My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert). I also do Python programming.