Objects are trained from a single front-on view of the object. Media Server can recognize the trained model across a large range of scales and poses.
There are few restrictions on the size of the training image, but it must be large enough to show the required detail. The minimum size is about 50x50 pixels, but most objects require a larger image in order to include all the detail. Media Server downsizes images consisting of more than 307,200 pixels (equivalent to a 640x480 image), so there is no advantage in using training images that are larger than this.
Use a good quality training image. If you expect the target image to be blurred, it sometimes helps to use a blurred training image; however, this does not always improve recognition and HPE recommends that you attempt it only when a good quality training image does not work. Objects that are very sparse, with little or no texture, and a small number of corners or edges, might not work as well as more complex objects.
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