Hi,
I want to detect and locate a pallet in an image. I have filtered the input image with a distance (3d picture) treshold resulting in a 2D binary image. The algorithm should be able to locate the position and orientation of the pallet. I already have tried a SurfFeatureDetector/SurfDescriptorExtractor/FlannBasedMatcher and OrbFeatureDetector/OrbDescriptorExtractor/BFMatcher but without succes. I noticed that I had not much keypoints (due to binary image ??? ) and the matching was wrong.
Do you have suggestions for the right approach finding the write algorithm that is:
- Able to find orientation and position of a pallet
- Able to find orientation and position of a pallet
- Robust to noisy input image
- Robust for missing a small regions of the pallet in the input image
- (Able to find more than one pallet in the input image)
Object to be found :
I noticed that without sufficient "white" surround the image no keypoints could be found in the object. I don't know why ?
Object with ORB keypoints :
I didn't test any algorithm with Hough finding lines and corners.
Thanks in advance