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3D reconstruction from structured-light profilometry with dual-path hybrid network
2022
EURASIP Journal on Advances in Signal Processing
AbstractWith the rapid development of high-speed image sensors and optical imaging technology, these have effectively promoted the improvement of non-contact 3D shape measurement. Among them, striped structured-light technology has been widely used because of its high measurement accuracy. Compared with classical methods such as Fourier transform profilometry, many deep neural networks are utilized to restore 3D shape from single-shot structured light. In actual engineering deployments, the
doi:10.1186/s13634-022-00848-5
fatcat:56qiwz2xhbfqpirrsn5qlqfa4u