Model reconstruction method and related device, electronic equipment and storage medium

A model and voxel model technology, applied in the field of computer vision, to ensure reconstruction integrity, reduce computing memory, and reduce the number of voxels

Pending Publication Date: 2021-11-26
SHENZHEN TETRAS AI TECH CO LTD
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  • Application Information

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Problems solved by technology

[0003] However, under limited computing memory, if the object or scene exceeds the representation range of the reconstruction model, the part beyond the range is usually discarded, or try to choose a larger voxel distance and rebuild from scratch, the above method, or Sacrificing reconstruction integrity, or sacrificing time efficiency, these costs are unaffordable in practical applications

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  • Model reconstruction method and related device, electronic equipment and storage medium
  • Model reconstruction method and related device, electronic equipment and storage medium
  • Model reconstruction method and related device, electronic equipment and storage medium

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Embodiment Construction

[0040] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0041] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0042] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two.

[0043] see figure 1 , figure 1 It ...

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Abstract

The invention discloses a model reconstruction method, a related device, electronic equipment and a storage medium, and the method comprises the steps: fusing a depth image of a target object with a reference voxel model, and obtaining a first voxel model of the target object, wherein adjacent first voxels in the first voxel model are spaced by a first voxel distance, and at least part of the first voxels have first voxel information; and resampling the first voxel model to obtain a second voxel model, wherein adjacent second voxels in the second voxel model are spaced by a second voxel distance, the second voxel distance is greater than the first voxel distance, and at least part of the second voxels have second voxel information. According to the scheme, under the limited calculation memory, the reconstruction integrity can be ensured, and the time efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of computer vision, in particular to a model reconstruction method and related devices, electronic equipment and storage media. Background technique [0002] In the field of 3D reconstruction, voxel is a common method to realize model modeling. Voxel discretizes 3D space into densely arranged voxels, and stores related voxel information on voxels to model objects or scenes. For example, in Truncated Signed Distance Function (TSDF), voxels store their truncated signed distance to the nearest surface of the object or scene, so as to realize the implicit expression of the object or scene. [0003] However, under limited computing memory, if the object or scene exceeds the representation range of the reconstruction model, the part beyond the range is usually discarded, or try to choose a larger voxel distance and rebuild from scratch, the above method, or Sacrificing reconstruction integrity, or sacri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00G06T5/50G06T7/50G06T7/73G06T7/80G06T17/00
CPCG06T7/50G06T7/85G06T5/50G06T3/005G06T17/00G06T7/75
Inventor 李辰宸项骁骏周立阳余亦豪
Owner SHENZHEN TETRAS AI TECH CO LTD
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