Tutorial: Algorithms for 2-Dimensional Object Recognition. Representation of arbitrary shape for purposes of visual recognition is an unsolved problem. The task of representation is intimately constrained by the recognition process and one cannot be solved without some solution for the other. We have already done some work on the use of an associative neural network system for hierarchal pattern recognition of the sort that may be ultimately useful for generic object recognition. The conclusions from this work were that @ Networks can be constructed which are robust to noisy and missing data. @ The input to the network should preferably be signi_cance measures of homogenous features. @ The required invariance properties must be explicit in the form of input representation. We restrict here the recognition task to pre-segmented rigid bodies in the hope that a solution for this case will suggest ways of solving the more general case.

Tutorial--Algorithms for 2-D Object Recognition.pdf

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．