2 key problems of image recognition

asked 2018-06-06 08:45:45 -0500

Suppose we have an arbitrary filled figure of a definite size placed at the centre of the image. There are various methods (depending on details) to recognize what it is. This task is solvable in general. Now add 2 variations: different location or changing size (proportionally). Does anybody know, are these tasks solved now or still not?

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dnn ssd dnn ssd dnn ssd dnn ssd dnn ssd dnn ssd

berak gravatar imageberak ( 2018-06-06 08:52:44 -0500 )edit

OK, SSD is based on features. So it will work if we can define this object in terms of size- and position-independent features. Also need an efficient algorithm of their detection for many possible objects.

Now what about DNN? How can they do it?

ya_ocv_user gravatar imageya_ocv_user ( 2018-06-06 09:18:47 -0500 )edit

well, that was "object detection & recognition". for simple shapes, there's a module for that also there are fourier descriptors in contrib, also the "1$ shape recognition" can be useful

berak gravatar imageberak ( 2018-06-07 01:33:37 -0500 )edit