Projective Parallel Single-Pixel Imaging: 3D Structured Light Scanning Under Global Illumination
This addresses the challenge of accurate 3D scanning in complex lighting conditions like inter-reflections and subsurface scattering, offering a more efficient solution for computer vision and graphics applications.
The paper tackles the problem of 3D structured light scanning under global illumination by proposing projective parallel single-pixel imaging (pPSI), which efficiently captures light transport coefficients and separates global illumination effects, achieving robust performance in challenging scenarios and outperforming state-of-the-art methods.
We present projective parallel single-pixel imaging (pPSI), a 3D photography method that provides a robust and efficient way to analyze the light transport behavior and enables separation of light effect due to global illumination, thereby achieving 3D structured light scanning under global illumination. The light transport behavior is described by the light transport coefficients (LTC), which contain complete information for a projector camera pair, and is a 4D data set. However, the capture of LTC is generally time consuming. The 4D LTC in pPSI are reduced to projection functions, thereby enabling a highly efficient data capture process. We introduce the local maximum constraint, which provides constraint for the location of candidate correspondence matching points when projections are captured. Local slice extension (LSE) method is introduced to accelerate the capture of projection functions. Optimization is conducted for pPSI under several situations. The number of projection functions required for pPSI is optimized and the influence of capture ratio in LSE on the accuracy of the correspondence matching points is investigated. Discussions and experiments include two typical kinds of global illuminations: inter-reflections and subsurface scattering. The proposed method is validated with several challenging scenarios, and outperforms the state-of-the-art methods.