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Three-dimensional imaging with detector arrays on arbitrarily shaped surfaces.

Mehdi Daneshpanah1, Bahram Javidi

  • 1University of Connecticut, Storrs, Connecticut 06269, USA.

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This study introduces flexible, nonplanar detector arrays for novel three-dimensional (3D) imaging. This approach enables 3D reconstruction from arbitrarily shaped surfaces, overcoming limitations of conventional flat imaging systems.

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Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Imaging Systems

Background:

  • Conventional multiview imaging relies on planar lenslet arrays and rigid image sensors.
  • Existing systems are constrained by flat detector surfaces, limiting imaging flexibility.

Purpose of the Study:

  • To propose and demonstrate a novel three-dimensional (3D) imaging concept using nonplanar detector arrays.
  • To remove the constraint of rigid, flat sensors in multiview imaging systems.
  • To enable 3D imaging on arbitrarily shaped surfaces.

Main Methods:

  • Proposed a flexible, nonplanar detector array configuration combined with a flexible lenslet array.
  • Explored varying orientations and optical axes of individual image sensing elements.
  • Developed and applied a point-by-point 3D reconstruction algorithm.

Main Results:

  • Demonstrated the feasibility of capturing multiple views using nonplanar detector arrays.
  • Successfully performed 3D reconstruction from simulated imagery acquired with the proposed system.
  • Showcased the adaptability of the system to non-flat imaging platforms.

Conclusions:

  • Nonplanar detector arrays offer a flexible alternative for multiview imaging systems.
  • The proposed method allows for 3D imaging on curved or irregular surfaces.
  • This innovation expands the potential applications of 3D imaging technologies.