[1] ZUO CH, ZHANG X L, HU Y, . Has 3D finally come of age?——An introduction to 3D structured-light sensor[J]. Infrared and Laser Engineering, 49, 0303001(2020).

[2] WANG Y H, ZHANG Q, HU Y, . 3D small-field surface imaging based on microscopic fringe projection profilometry: a review[J]. Chinese Optics, 14, 447-457(2021).

[3] FENG SH J, ZUO CH, YIN W, . Application of deep learning technology to fringe projection 3D imaging[J]. Infrared and Laser Engineering, 49, 0303018(2020).

[4] SU X Y, CHEN W J. Fourier transform profilometry: a review[J]. Optics and Lasers in Engineering, 35, 263-284(2001).

[5] ZHENG D L, DA F P, KEMAO Q, et al. Phase-shifting profilometry combined with Gray-code patterns projection: unwrapping error removal by an adaptive median filter[J]. Optics Express, 25, 4700-4713(2017).

[6] AN Y T, HYUN J S, ZHANG S. Pixel-wise absolute phase unwrapping using geometric constraints of structured light system[J]. Optics Express, 24, 18445-18459(2016).

[7] GHIGLIA D C, ROMERO L A. Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods[J]. Journal of the Optical Society of America A, 11, 107-117(1994).

[8] FENG SH J, CHEN Q, GU G H, et al. Fringe pattern analysis using deep learning[J]. Advanced Photonics, 1, 025001(2019).

[9] NGUYEN H, WANG Y Z, WANG ZH Y. Single-shot 3D shape reconstruction using structured light and deep convolutional neural networks[J]. Sensors, 20, 3718(2020).

[10] VAN D J S, DIRCKX J J J. Deep neural networks for single shot structured light profilometry[J]. Optics Express, 27, 17091-17101(2019).

[11] ZHANG ZH, HAN B W, YU H T, . Multi-stage deep learning based single-frame fringe projection 3D measurement method[J]. Infrared and Laser Engineering, 49, 20200023(2020).

[12] [12] RANFTL R, BOCHKOVSKIY A, KOLTUN V. Vision transfmers f dense prediction[C]. Proceedings of IEEECVF International Conference on Computer Vision, IEEE, 2021.

[13] [13] YANG G L, TANG H, DING M L, et al. Transfmerbased attention wks f continuous pixelwise prediction[C]. Proceedings of 2021 IEEECVF International Conference on Computer Vision, IEEE, 2021.

[14] QI F, ZHAI J Z, DANG G H. Building height estimation using Google Earth[J]. Energy and Buildings, 118, 123-132(2016).

[15] ZHU X J, HAN ZH Q, YUAN M K, et al. Hformer: hybrid CNN-transformer for fringe order prediction in phase unwrapping of fringe projection[J]. Optical Engineering, 61, 093107(2022).

[16] GENG J. Structured-light 3D surface imaging: a tutorial[J]. Advances in Optics and Photonics, 3, 128-160(2011).

[17] [17] GUO J Y, HAN K, WU H, et al. CMT: convolutional neural wks meet vision transfmers[C]. Proceedings of 2022 IEEECVF Conference on Computer Vision Pattern Recognition, IEEE, 2022.

[18] CHEN ZH ZH, HANG W, ZHAO Y X. ViT-LSLA: Vision Transformer with Light Self-Limited-Attention[J]. arXiv:, 17115(2210).

[19] [19] RONNEBERGER O, FISCHER P, BROX T. U: convolutional wks f biomedical image segmentation[C]. Proceedings of the 18th International Conference on Medical Image Computing ComputerAssisted Intervention, Springer, 2015.

[20] WANG L, LU D Q, QIU R W, et al. 3D reconstruction from structured-light profilometry with dual-path hybrid network[J]. EURASIP Journal on Advances in Signal Processing, 2022, 14(2022).

[21] YUAN M K, ZHU X J, HOU L P. Depth estimation from single-frame fringe projection patterns based on R2U-Net[J]. Laser & Optoelectronics Progress, 59, 1610001(2022).

[22] [22] FAN CH M, LIU T J, LIU K H. SU: swin transfmer U f image denoising[C]. Proceedings of 2022 IEEE International Symposium on Circuits Systems, IEEE, 2022.

[23] [23] ZHU X J, ZHANG ZH ZH, HOU L P, et al. Light field structured light projection data generation with Blender[C]. Proceedings of 2022 3rd International Conference on Computer Vision, Image Deep Learning & International Conference on Computer Engineering Applications, IEEE, 2022.