Three-dimensional data acquisition system and method based on multi-frame random binary coded light field

Abstract

The present invention discloses a three-dimensional data collection system and method based on a multi-frame random binary coding light field which can be capable of collection three-dimensional dataof non-static, quasi-static and static targets in various environment, are adjustable in collection precision and the resolution, do not need strict synchronization for the projection and the shooting, cannot be influenced by nonlinearity of a projection device, is not dependent on a precise switching mechanism and reduces the device size and the cost. The system comprises a binocular camera having a left camera and a right camera, a projection device and a synchronous control circuit. The projection device is configured to project a random binary coding image sequence to the surface of a measurement target; the synchronous control circuit is configured to trigger the binocular camera to shoot light field images modulated by measurement of the target surface topography when the projectiondevice projects each random binary coding image; and a three-dimensional reconstruction algorithm module is configured to perform image analysis and processing of the obtained two-dimensional image sequence to obtain three-dimensional point cloud data of the measurement target in different views.

Description

technical field [0001] The invention relates to the technical field of three-dimensional measurement, in particular to a three-dimensional data acquisition system and method based on multi-frame random binary coded light fields. Background technique [0002] 3D data acquisition is an important application field where optical 3D measurement technology and computer vision technology intersect. Obtaining the 3D shape data of human face has a wide range of applications in medical cosmetology, film and television entertainment, face recognition, virtual reality, video conferencing and other fields. [0003] The 3D data acquisition method based on structured light projection has significant advantages such as high precision, full-field non-contact, automatic data processing, high degree of visualization, and fast acquisition speed. The low-cost and small-sized devices on the market mainly include Microsoft's Kinect and Intel's RealSense series, but they are suitable for occasions...

AI Technical Summary

Problems solved by technology

The low-cost and small-sized devices on the market mainly include Microsoft's Kinect and Intel's RealSense series, but they are suitable for occasions where the accuracy of consumer electronics and other fields is not high. Data acquisition, it is difficult to obtain high-precision 3D face shape data

High-precision equipment in the industrial field can obtain surface topography data of almost any target with diffuse reflection surface characteristics, but most structured light scanning equipment is oriented to industrial applications. Environmental control is stricter

One of the fundamental reasons for its high cost is that the use of sinusoidal structured light field illumination or structured light encoding methods based on other time-series encodings requires strict spatial displacement relationships between projection sequences, and requires a strict relationship between the projection device and the camera. Synchronization, which must rely on sophisticated and expensive switching mechanisms, so it is difficult to truly use for 3D data acquisition of non-static or quasi-static targets such as faces

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