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2013-06-18 09:35:57 -0600 | commented question | match() & knnMatch duplicates results Is the crossCheck of your BFMatcher enabled? Or did I completely misunderstand you. |
2013-06-18 08:58:46 -0600 | asked a question | Fast and robust 2D 3D Feature Matching Hi, I'm currently working on PoseEstimation based on 2D 3D matches. My current state is:
My question is the following: What is the best way to refine the pose of the input image. Let me explain my current idea:
But is there such a matcher in OpenCV? I only find matchers which compare only descriptors but not euclidean distance. Or is there a simple way to take constraints provided by epipolar geometry into account? Do you have a hint for me? I'm trying to find a fast (and robust) solution since i'm developing for mobile devices. Thanks in advance! |