PSYCH207 Lecture Notes - Lecture 3: Template Matching, Eleanor J. Gibson, Barcode
Document Summary
Introduction: explore the manner in which perception is achieved. Template matching: example: cashier swipes the barcode over the code reader. Machine encodes barcode (brings it into the system). Machine searches its memory for an exact match to that barcode. The item name and price are stored along with the code. Problems with template matching: does not do a good job at capturing the flexibility that s inherent in human perception, 1. Proper id requires an exact match number of templates that must be stored and searched would be incredibly large: 2. Model cannot explain how we recognize a new object, one that we have never encountered before: 3. Model does not explain how we are able to deal with surface variation in stimuli: eg. how you can identify a coffee cup when it"s upside down. Feature analysis: objects are recognized by recognizing their component parts, or features, and the manner in which they are combined.