Three-dimensional reconstruction method, apparatus and device and storage medium

A technology of 3D reconstruction and 3D mesh, applied in 3D modeling, image data processing, instruments, etc., can solve the problem that GPU cannot be portable, and achieve the effect of improving portability and reducing complexity

Active Publication Date: 2018-11-27
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, GPU cannot be portable, and it is difficult to be applied to mobile robots, portable dev

Method used

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  • Three-dimensional reconstruction method, apparatus and device and storage medium
  • Three-dimensional reconstruction method, apparatus and device and storage medium
  • Three-dimensional reconstruction method, apparatus and device and storage medium

Examples

Experimental program
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Embodiment 1

[0030] figure 1 It is a flow chart of a 3D reconstruction method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of real-time 3D reconstruction of a target scene based on a depth camera. The method can be performed by a 3D reconstruction device, wherein the The device can be implemented by software and / or hardware, and can be integrated into a smart terminal (mobile phone, tablet computer) or a three-dimensional visual interaction device (VR glasses, wearable helmet). Such as figure 1 As shown, the method specifically includes:

[0031] S110. Using a preset fast global optimization algorithm, determine a relative camera pose of the key frame of the current depth image relative to the key frame of the preset depth image.

[0032] Preferably, the key frame of the current depth image corresponding to the current target scene can be acquired based on the depth camera. Wherein, the target scene may preferably be an indoor space s...

Embodiment 2

[0096] figure 2 It is a flow chart of a three-dimensional reconstruction method provided by Embodiment 2 of the present invention. This embodiment is further optimized on the basis of the foregoing embodiments. Such as figure 2 As shown, the method specifically includes:

[0097] S210. Using a preset fast global optimization algorithm, determine a relative camera pose of the key frame of the current depth image relative to the key frame of the preset depth image.

[0098] S220. Divide the key frame of the current depth image into multiple grid voxels according to the preset grid voxel unit, and divide the multiple grid voxels into at least one spatial block.

[0099]Wherein, the preset grid voxel unit may preferably be based on the accuracy of the 3D model required for real-time 3D reconstruction. For example, to achieve 3D reconstruction of a 3D model based on a CPU frequency of 30HZ and a grid voxel precision of 5mm, you can use 5mm as the preset grid voxel unit to con...

Embodiment 3

[0119] image 3 It is a flowchart of a three-dimensional reconstruction method provided by Embodiment 3 of the present invention. This embodiment is further optimized on the basis of the foregoing embodiments. Such as image 3 As shown, the method specifically includes:

[0120] S310. Using a preset fast global optimization algorithm, determine a relative camera pose of the key frame of the current depth image relative to the key frame of the preset depth image.

[0121] S320. Divide the key frame of the current depth image into multiple grid voxels according to the preset grid voxel unit, and divide the multiple grid voxels into at least one spatial block.

[0122] S330. For each spatial block, according to the relative camera pose and the depth value in the key frame of the current depth image, respectively calculate the distance from the grid voxel corresponding to each vertex to the surface of the target scene.

[0123] S340. Select space blocks whose distances from gr...

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Abstract

The embodiment of the invention discloses a three-dimensional reconstruction method, apparatus and device, and a storage medium. The three-dimensional reconstruction method comprises: using a preset fast global optimization algorithm to determine a relative camera pose of a preset depth image key frame relative to a current depth image key frame; using a sparse sampling method to determine at least one effective space block corresponding to the current depth image key frame; fusing the at least one effective space block and a first three-dimensional network model corresponding a previous framedepth image key frame on the basis of the relative camera pose, and obtaining a second three-dimensional network model corresponding to the current depth image key frame; and generating an isosurfaceof the second three-dimensional network model by using the accelerated moving cube algorithm, and obtaining a three-dimensional reconstruction model of a target scene. The embodiment of the inventiongreatly reduces the complexity of the real-time three-dimensional reconstruction process, so that the real-time three-dimensional reconstruction of the target scene can be implemented on the CPU, andthe portability of the real-time three-dimensional reconstruction device is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical fields of computer graphics and computer vision, and in particular, to a three-dimensional reconstruction method, device, device and storage medium. Background technique [0002] Real-time 3D reconstruction is a hot topic in the field of computer vision and robotics. It uses specific devices and algorithms to reconstruct the mathematical models of 3D objects in the real world in real time. It has great potential in human-computer interaction, path planning, and machine perception. great practical application value. [0003] Existing real-time 3D reconstruction algorithms are generally based on depth cameras (RGB-D cameras), and in order to ensure the quality, global consistency and real-time performance of reconstruction results, real-time 3D reconstruction methods usually have a large amount of computation, and high-performance GPU to realize the reconstruction of 3D model. However, the GP...

Claims

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Application Information

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IPC IPC(8): G06T7/70G06T17/10G06T17/20
CPCG06T7/70G06T17/10G06T17/20G06T2207/10028G06T2207/20221G06T2207/30244
Inventor 方璐韩磊
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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