Simplified absolute phase retrieval of dual-frequency fringe patterns in fringe projection profilometry

Absolute phase recovery in structured light illumination systems: Sinusoidal vs. intensity discrete patterns

“…7h. Hence, as the error detection is made within the decoding procedure, this technique does not need a separate error detecting algorithm [38] when post-processing the data. The example (mug) of Figs.…”

“…5d. Hence, a separate error detecting algorithm [38] is not needed. Moreover, the code-words of the closed-loop SFCs do not need to be designed to lie on a diamond as indicated in Fig.…”

“…3c that uses also 8 grey levels). However, as the error detection is an inherent property of this technique, further computations with error detecting techniques [38] do not need to be applied. Nevertheless, if an error detection is not desired a different SFC can be designed with more code-words in code-space.…”

“…This novel technique has also an error detecting feature, which allows excluding erroneous pixels from the measurement during the decoding procedure. This makes the use of a separate error detecting algorithm obsolete [38]. We demonstrate the success of this technique using experimental data.…”

Adaptive fringe generation with OBB and homography transform for various objects

“…In the principle of FPP, a set of phase-shifted digital sinusoidal fringe patterns are projected onto the object's surface. After capturing the deformed image with a camera, the absolute phase information can be extracted by our previous work [1] . The 3D points of the object can be obtained with the absolute phase and the mathematical model of structured light system.…”