Fig. 1. Imaging model of fringe projection system

Fig. 2. Calculation process of feature points in the projector's coordinate system

Fig. 3. Processing of boundary mask mapping. (a) Mask corresponding to the boundary of the overexposed region; (b) boundaries are mapped directly to the pixel coordinate system of the projector; (c) automatically connect mapped boundaries; (d) obtained mask of overexposed region in the projector coordinate system

Fig. 4. Process of iterative adjustment of the maximum input grayscale

Fig. 5. Flow chart of 3D reconstruction based on iteratively adaptive projection

Fig. 6. Physical picture of system

Fig. 7. Process of dot plate. (a) Plate image; (b) captured fringe pattern; (c) obtained continuous phase map; (d) obtained maximum input grayscale; (e) marked overexposed regions; (f) extracted boundary of the overexposed regions

Fig. 8. Process of adaptive intensity of fringe projection. (a) Boundary results of direct mapping of overexposed region boundary; (b) corresponding projection space mask after connecting boundary of exposed area; (c) input grayscale map with reduced intensity of overexposed regions; (d) regenerated fringe pattern

Fig. 9. Comparison of the results before and after adaptive projection. (a) Generated fringe pattern after three iterations; (b) captured fringe pattern; (c) reconstruction of the plate using initial fringe images; (d) reconstruction of plate using adaptive projection

Fig. 10. Optimization process of reconstructing a fish bubble using adaptive projection. (a) Reconstructed 3D surface with dashed lines marking data for analysis; (b) comparison of reconstruction results after the second and third iterations