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The Dynamic Photometric Stereo Method Using a Multi-Tap CMOS Image Sensor.

Takuya Yoda1, Hajime Nagahara2, Rin-Ichiro Taniguchi3

  • 1Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan. yoda@limu.ait.kyushu-u.ac.jp.

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Summary
This summary is machine-generated.

This study introduces a dynamic photometric stereo method using a multi-tap CMOS sensor to estimate surface normals in moving scenes. The novel approach enables real-time normal map estimation for dynamic environments.

Keywords:
3D surface recoverycomputational photographyphotometric stereovision sensor

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Area of Science:

  • Computer Vision
  • Image Processing
  • Robotics

Background:

  • Photometric stereo estimates surface normals using images with varying lighting.
  • Classical methods fail in dynamic scenes due to static scene assumptions.
  • Dynamic scenes require specialized techniques for accurate surface normal estimation.

Purpose of the Study:

  • To develop a dynamic photometric stereo method for estimating surface normals in moving scenes.
  • To overcome the limitations of classical photometric stereo in non-static environments.
  • To enable real-time surface normal estimation for dynamic scenes.

Main Methods:

  • Utilized a multi-tap complementary metal-oxide-semiconductor (CMOS) image sensor.
  • Captured multiple images under different lighting conditions with near-simultaneous timing.
  • Implemented a camera lighting system and software for real-time normal map generation.

Main Results:

  • Successfully estimated surface normals in dynamic scenes.
  • Demonstrated the accuracy of the proposed method through evaluation.
  • Achieved real-time normal map estimation capabilities.

Conclusions:

  • The proposed dynamic photometric stereo method effectively estimates surface normals in dynamic scenes.
  • The use of a multi-tap CMOS sensor allows for rapid image acquisition under varying light.
  • This technique advances the application of photometric stereo in real-world, non-static scenarios.