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1. PATTERN RECOGNTION “ Our visual systems have to decide which edges, surfaces, corners and so on go together to form units or wholes. (Roth 1995)” 2. The challenge…
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  • 1. PATTERN RECOGNTION “ Our visual systems have to decide which edges, surfaces, corners and so on go together to form units or wholes. (Roth 1995)”
  • 2. The challenge for pattern recognition is to explain the complexity of the process which is so ingrained in our experience that we rarely even notice that we do it. (Houston et al 1991) Tt tT tT T Tt t
  • 3. Template Matching Theory <ul><li>Match sensory information against templates held in LTM </li></ul>SPORTS CAR
  • 4. Template Matching Theory <ul><li>A pattern is recognised on the basis of which template provides the closest match to the stimulus input. The theory is simple but unrealistic in view of the enormous variations in visual stimuli allegedly matching the same template </li></ul><ul><li>One improvement is to assume a NORMALISATION process takes place by producing an internal representation in a standard position and size etc.. Before the search to match a template. Especially useful with respect to LETTERS and DIGITS. But it is doubtful it would produce consistent matching with template. </li></ul>A A A V D E a A
  • 5. BIEDERMANS GEON THEORY OR RECOGNITION BY COMPONENTS <ul><li>Geon - geometrical icon </li></ul><ul><li>Overcomes limitations of TMH </li></ul><ul><li>Parsing or segmentation - we split familiar or unfamiliar objects into parts or components </li></ul><ul><li>Concavity - divide an object up where one parts makes a sharp angle with another. </li></ul>
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