US 2022/0189062 A1Published application

Multi-view camera-based iterative calibration method for generation of 3d volume model

AssigneeKwangwoon University Industry-Academic Collaboration Foundation

InventorsYoung Ho SEO, Byung Seo PARK

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Abstract

Proposed is a multi-view camera-based iterative calibration method for generation of a 3D volumetric model that performs calibration between cameras adjacent in a vertical direction for a plurality of frames, performs calibration while rotating with the results of viewpoints adjacent in the horizontal direction, and creates a virtual viewpoint between each camera pair to repeat calibration. Thus, images of various viewpoints are obtained using a plurality of low-cost commercial color-depth (RGB-D) cameras. By acquiring and performing the calibration of these images at various viewpoints, it is possible to increase the accuracy of calibration, and through this, it is possible to generate a high-quality real-life graphics volumetric model.

Claims12

Dependent claims

A multi-view camera-based iterative calibration method for generation of 3D volumetric model, the multi-view camera-based iterative calibration method comprising:

(a) receiving a multi-view color-depth image (sample image);
(b) converting each sample image into a point cloud (point cloud of each viewpoint);
(c) optimizing a transformation parameter by performing calibration (top-bottom calibration) for point clouds of viewpoints adjacent in a vertical direction (top-bottom point clouds), and matching the top-bottom point clouds;
(d) optimizing the transformation parameter by performing calibration (round calibration) for top-bottom matched point clouds of viewpoints adjacent in a horizontal direction;
and
(e) generating a point cloud of a virtual viewpoint by combining some of the top-bottom point clouds of at least two viewpoints, and optimizing the transformation parameter by performing calibration (viewpoint calibration) for a viewpoint adjacent to the virtual viewpoint.

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Dependencies are inferred from the claim text.

Facts

Application: 17/332,618Filed 27 May 2021
Priority: KR 10-2020-017494815 Dec 2020
Published: 16 Jun 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

G06T 7/32
Determination of transform parameters for the alignment of images, i.e. image registration: using correlation-based methods
G06T 7/80
Image analysis: analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
G06T 15/20
Geometric effects: perspective computation
G06T 2207/10024
Image acquisition modality: color image