980 B
980 B
Conception
Intrinsic calibration
cf TP Simone Gasparini
Extrinsic calibration
cf TP Simone Gasparini
Skeletonization
- Input : vector string
- Ouptut : skeleton
Points of interest detection
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Input : string : pictures ().jpg), (int : nb features?)
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Output : keypoints vector ( std::vector)
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function : we chose to use function SIFT (not SURF or Harris
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tests :
- with an image, verify the right number of points is detected
Matching points
- Input : keypoints vectors, calibration
- Output : keypoints vector
- function :
- tests :
- use the function to match the points between a picture and herself
- use the function with different soft toys on the first and second picture
Binary filter ?
- Input : binary filter, matched points
- Ouptut : filtered matched points
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tests :
Camera filter
Skeleton division
- Input :
- Output :
Skeleton matching
- Input :
- Output :