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Learning-Based Method for 3D Measurement with Fringe Phase Recovery and Speckle Correlation

A phase recovery, three-dimensional measurement technology, applied in the field of optical measurement

Active Publication Date: 2022-03-22
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0003] Therefore, for the 3D imaging technology based on fringe projection profilometry, there is still a lack of a method with both measurement accuracy and measurement efficiency.

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  • Learning-Based Method for 3D Measurement with Fringe Phase Recovery and Speckle Correlation
  • Learning-Based Method for 3D Measurement with Fringe Phase Recovery and Speckle Correlation
  • Learning-Based Method for 3D Measurement with Fringe Phase Recovery and Speckle Correlation

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Embodiment

[0070] In order to verify the effectiveness of the present invention, two cameras (model acA640-750um, Basler), a DLP projector (model LightCrafter 4500PRO, TI) and a computer were used to construct a set of learning-based fringe phase recovery and speckle Related 3D measuring devices. The shooting speed of this set of devices is 25 frames per second when performing three-dimensional measurement of objects. Using steps 1 and 2, a stereo matching network is used to generate an initial disparity map from a speckle pattern (but with lower accuracy). figure 2 It is the basic principle diagram of the robust stereo matching algorithm based on deep learning of the present invention. As described in step / 3, a modified U-net network was used to extract the wrapped phase map from an additional sheet of fringe patterns with high accuracy (but with depth ambiguity). image 3 It is the basic principle diagram of the high-precision phase extraction algorithm based on the improved U-net n...

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Abstract

The invention discloses a learning-based three-dimensional measurement method for fringe phase recovery and speckle correlation. A stereo matching network is first used to generate an initial disparity map from a speckle pattern. Parcel phase maps were extracted with high precision from an additional sheet of fringe patterns using the U‑net network. The initial disparity map is optimized by using the wrapped phase map as an additional constraint, which ultimately enables high-speed and high-precision absolute 3D topography measurements. The invention only needs two projection patterns to realize high-speed and high-precision absolute three-dimensional shape measurement.

Description

technical field [0001] The invention belongs to the technical field of optical measurement, in particular to a three-dimensional measurement method based on learning-based fringe phase recovery and speckle correlation. Background technique [0002] At present, fast 3D shape measurement technology is widely used in various fields, such as intelligent monitoring, industrial quality control and 3D face recognition. Among the many 3D shape measurement methods, fringe projection profilometry based on the principle of structured light and triangulation is one of the most practical techniques due to its advantages of non-contact, full-field, high precision and high efficiency. The mainstream fringe projection profilometry generally needs to go through three processes to achieve 3D measurement, namely phase recovery, phase unwrapping and phase-to-height mapping. Among phase recovery techniques, the two most commonly used methods are Fourier profilometry and phase-shift profilometry...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/25
CPCG01B11/254
Inventor 尹维左超陈钱冯世杰孙佳嵩胡岩尚昱昊陶天阳
Owner NANJING UNIV OF SCI & TECH
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