- It is fine but not robust enough under rotation and viewpoint change:
try to use some rotation invariant descriptors to substitute the SURF descriptor (...SIFT is one of the common one to try)
- Don't care too much about the number of matches, the number of 'correct' matches is more important
- Don't worried about the speed of time, this is the big constraint for now, i.e., offline process (...So this is one of the reason that SURF descriptor can/should be substituted)
- Fine tune for this 1st component while I am available (... solve the issue in rotation invariant)
*Suggestion:
Keep going to the 2nd component, then back to 1st component to do some improvement. Time is limited, and current algorithm somehow is fine with a main issue of rotation invariant. Moreover, this step may take ages to try and test in order to find the best/acceptable solution.
II. Memo for the 2nd component:
- This is for 2 purposes:
1. Do 2D to 3D integration
2. As the most simple way to do matching under 'RST invariant'... which can be a ground truth method to improve/confirm the result and performance of my proposed method (i.e., the 1st component)
3. The Strength in using markers:
- The most common way in MIS
- To locate an object without considering its properties such as texture
- A group of markers which can circle out an object
- The group of markers can be moved to simulate Affine transformation
- Tools (...use one of them):
1. Color marks: red, yellow, blue, green (...patterns is not necessary)
2. A white paper with painted color markers: red, yellow, blue, green
3. Directly assign value into 2 matrix
4. Directly choose the information of location of points in 2 matrix
- Main steps:
1. Color segmentation
2. Estimate Homography (i.e., Affine Transformation): H = [R T]
3. Kindly note from Matina and George:
- Check the idea and method of homography in MATLAB / Source Code
- Check the book - The Bible of OpenGL
- Asking people
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