object detection, image matching for small objects
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I am using SIFT feature the matching between two images or it can be considered as object detection.
First matching. I used SIFT feature for matching and it failed when the object is small.
Second matching. However, it woks when I cropped that object out from that image.
Any suggestions or ideas to improve the first matching without cropping?
Example images are shown below.
Image A:
Image B:
Image C cropped out from image B:
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Answers (1)
Image Analyst
on 28 Nov 2014
This is exactly what this group at the University of Arizona did using Hu's moments: http://www.youtube.com/watch?v=Nc06tlZAv_Q Maybe you might want to try that method. The advantage is that it's robust to scale and rotation changes (within reason).
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