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Title:
END-TO-END SPECKLE PROJECTION THREE-DIMENSIONAL MEASUREMENT METHOD BASED ON DEEP LEARNING
Document Type and Number:
WIPO Patent Application WO/2022/057556
Kind Code:
A1
Abstract:
Disclosed is an end-to-end speckle projection three-dimensional measurement method based on deep learning. The method comprises: first using a projector for projection and a binocular camera for synchronously collecting a speckle pattern; performing stereo correction on the speckle pattern, inputting the pattern into a stereo matching network, and a feature extraction sub-network based on a shared weight processing the speckle pattern obtain a series of low-resolution three-dimensional feature tensors; inputting the feature tensors into a salient object detection sub-network for detecting foreground information in the speckle pattern to generate a full-resolution effective mask; generating a four-dimensional matching cost body by means of the feature tensors of two viewing angles according to a candidate disparity range, achieving cost aggregation by means of a series of three-dimensional convolutional layer filtering, and obtaining an initial disparity map by means of disparity regression; and obtaining a final disparity map by combining the effective mask and the initial disparity map to achieve single-frame robust absolute three-dimensional surface contouring. The present invention can achieve single-frame robust absolute three-dimensional surface contouring simply by projecting a speckle pattern.

Inventors:
ZUO CHAO (CN)
YIN WEI (CN)
CHEN QIAN (CN)
FENG SHIJIE (CN)
SUN JIASONG (CN)
HU YAN (CN)
TAO TIANYANG (CN)
Application Number:
PCT/CN2021/113187
Publication Date:
March 24, 2022
Filing Date:
August 18, 2021
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Assignee:
UNIV NANJING SCI & TECH (CN)
International Classes:
G06T7/55; G06N3/04
Foreign References:
CN112419386A2021-02-26
CN111563564A2020-08-21
CN110111271A2019-08-09
US20200193580A12020-06-18
Attorney, Agent or Firm:
JIANGSU SHENGDIAN LAW FIRM (CN)
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