2014-11-14 05:37:27 -0600 | asked a question | Binary image object recognition 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:
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 |