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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Depth propagation and surface construction in 3-D vision.

Mark A Georgeson1, Tim A Yates, Andrew J Schofield

  • 1School of Life & Health Sciences, Aston University, Birmingham B4 7ET, UK. m.a.georgeson@aston.ac.uk

Vision Research
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

Depth perception in stereo vision relies on how visual information is processed. This study reveals that depth cues propagate horizontally before a 3D surface is constructed, suggesting distinct visual processing stages.

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Area of Science:

  • Visual perception
  • Computational neuroscience
  • Stereo vision

Background:

  • Ambiguous disparity regions can gain perceived depth from clear regions, a phenomenon termed stereo capture, depth interpolation, or surface completion.
  • Existing research suggests depth interpolation and surface completion may be separate stages in visual processing.

Purpose of the Study:

  • To investigate induced depth effects and differentiate between depth interpolation and surface completion.
  • To determine the role of orientation and texture in depth perception within stereo vision.

Main Methods:

  • Utilized a disparity-modulated (DM) inducing texture (2-D Gaussian noise) with sinusoidal horizontal corrugation.
  • Replaced the central region with various test patterns (1-D noise, 2-D noise, luminance gratings) to measure perceived corrugation.
  • Varied test pattern orientation and alignment relative to the DM flanking regions.

Main Results:

  • Horizontal 1-D noise induced significant perceived corrugation, similar to DM regions.
  • 2-D noise or vertical 1-D noise induced minimal depth.
  • Horizontal sine-wave gratings strongly induced depth; square-wave gratings induced depth only when aligned with the DM surface features.

Conclusions:

  • Disparity or local depth appears to propagate along horizontal 1-D features.
  • A 3-D surface is constructed from these acquired depth samples, indicating distinct processing stages.
  • The final constructed surface shape can differ from the initial inducer, supporting a multi-stage visual processing model.