Non Textual Image recognition
Image recognition is a major technology component in designing, medical and manufacturing fields. Let us review the basic concepts of images recognition architecture.
For example, a general image recognition system, the image understanding architecture has the design which calls for three processing layers.
(i)512 X 512 array of custom pixel processors that extract basic features such as lines and object boundaries.
(ii)The features of an object extracted by the first layer are tracked by the DSP array, and that information is fed into 512-M byte RAM.
(iii)At the highest level, sophisticated AI algorithms perform the difficult task of object and scene recognition.
Image recognition places a tremendous processing burden on the computer. Advanced sensor technology helps case the computational burden. Specialized sensors can resolve transnational objects moving in different direction.
Image recognition requires collecting and analyzing a very large volume of data very rapidly. It requires connecting various types of data. The recognition of facial expression is the new development in making multimedia applications interactive and more intuitive.
