Science· 2013Q1
3D Computational Imaging with Single-Pixel Detectors
- 908citations
- Q1SCImago
- 2013year
Short summary
Researchers developed a 3D computational imaging technique using multiple single-pixel detectors and a single projector to reconstruct an object's form from shading information.
AI-generated from the title and abstract; the full text is not read.
Key points
- Reconstructs 3D object shape from multiple 2D images captured by single-pixel detectors.
- Uses a single digital projector for illumination, creating directional lighting effects in each detector's view.
- Derives surface gradients from image shading to achieve 3D reconstruction.
- Achieves results comparable to stereophotogrammetry systems.
- Method is extendable to non-visible wavebands.
AI-generated from the title and abstract; the full text is not read.
Abstract
Computational imaging enables retrieval of the spatial information of an object with the use of single-pixel detectors. By projecting a series of known random patterns and measuring the backscattered intensity, it is possible to reconstruct a two-dimensional (2D) image. We used several single-pixel detectors in different locations to capture the 3D form of an object. From each detector we derived a 2D image that appeared to be illuminated from a different direction, even though only a single digital projector was used for illumination. From the shading of the images, the surface gradients could be derived and the 3D object reconstructed. We compare our result to that obtained from a stereophotogrammetric system using multiple cameras. Our simplified approach to 3D imaging can readily be extended to nonvisible wavebands.
The authors' abstract, as published at the source. Science, 2013 · DOI ↗
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Field: Acoustics and Ultrasonics
Acoustics and UltrasonicsPhysics and Astronomy