Hello
The first step of building any image indexing algorithm is to define what type of image descriptor you are going to use. Are you trying to extract (color features, texture features, shape features) of image?
Usually, algorithms as SIFT, SURF and many others provdies a set of k keypoints and the associated descriptor in d dimension (for example, in SIFT each descriptor has d=128 dimensions).
So, in order to describe an image we need a matrix kxd (k descriptor vectors, each one in d dimensions). So far so good.
My question is: how can we describe an image through a single vector?
Thank you
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