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Image regions contributing to perceptual translucency: A psychophysical reverse-correlation study.

Takehiro Nagai1, Yuki Ono2, Yusuke Tani2

  • 1Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan; and Department of Informatics, Yamagata University, Yonezawa, Japan;e-mail: tnagai@yz.yamagata-u.ac.jp.

I-Perception
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Summary

Perceptual translucency relies on local image features, not global contrast. Specific image regions, or "hot spots," influence judgments, but these vary between observers.

Keywords:
image statisticsmaterial perceptionpsychophysicsreverse correlationtranslucency

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Area of Science:

  • Visual perception
  • Computer graphics
  • Psychophysics

Background:

  • Translucency perception is influenced by spatial luminance relationships and local image features.
  • Previous research has primarily focused on global cues, neglecting local image characteristics.

Purpose of the Study:

  • To identify specific spatial regions within computer graphics (CG) images that contribute to the perception of translucency.
  • To investigate the role of local luminance statistics in translucency perception using a reverse-correlation method.

Main Methods:

  • A psychophysical reverse-correlation technique was employed using CG images of objects.
  • Observers compared the perceived translucency of image pairs across numerous trials.
  • Luminance statistics were analyzed within identified translucency-related image regions.

Main Results:

  • Global root-mean-square (rms) contrast of CG images did not correlate with perceived translucency.
  • Local mean luminance within specific image regions showed a strong correlation with perceived translucency.
  • The critical image regions influencing translucency judgments varied significantly among individual observers.

Conclusions:

  • Perceptual translucency is primarily driven by local image features within specific regions, rather than global luminance statistics.
  • Observer-dependent "hot spots" in images significantly influence the judgment of translucency.
  • Future research should explore the variability in these effective image regions across different observers.