Abstract
Objective:Human visual system is able to recognize objects in large complexity variation. Despite such capability, little is known about the effects of complexity on object recognition. Here we studied the spatial frequency (SF) characteristics in identifying Chinese characters (CCs) of different complexity levels.Method:Stimuli were 150 frequently used CCs categorized into 3 complexity groups. Each character was digitally band-passed by 11 cosine log filters (bandwidth = 2 octaves, center frequency = 1.27 to 12.8 cycles/character in 0.1 log step). We measured contrast sensitivity for recognizing CCs of sizes 0.5°, 1°, and 2°. Peak SF (cycles/deg) and bandwidth (octaves) were plotted against character size in nominal character frequency (cycles/deg). A CSF ideal observer model (Chung et al., 2002 Vision Research42 2137–2152) was formulated to examine whether early CSF filtering followed by template matching could explain human performance.Results:Log-log slopes of peak SF vs. size functions were 0.60±0.04...
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