Object Recognition Using Alignment. Brian J. Stankiewicz. Approaches to Human Object Recognition. Alignment Approach Store image(s) in memory Use image transformations to bring new view into alignment with viewed image. Approaches to Human Object Recognition. Alignment Approach.
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Object Recognition Using Alignment
Brian J. Stankiewicz
Template matching Failures
Many different exemplars of category of object. How does one handle this type of variability?
RT To “Same” Responses
Angle of Rotation
Initial reaction times similar to S&M
Performance improves after 13 blocks
Surprise orientations slower than trained
Block 1~12: practice
Block 13: practice + surprise
Compute best fittingline to compute slope
Surprise orientations’ required degree to be rotated 90 : 45 - 135: 45 - 45 : 45 but 180: 90
“4 different orientation- images stored in memory?”
High slope = much rotation = single canonical image
Mental Rotation in Block 1
By block 13 trained orns are fast
Mental rotation rate for untrained orns slower.