Human body parameterized three-dimensional model deformation method based on neural network joint point estimation

Abstract

The invention relates to a human body parameterized three-dimensional model deformation method and device based on neural network joint point estimation, computer equipment and a storage medium. The method comprises the steps of performing two-dimensional image extraction on a target three-dimensional object model to obtain a target two-dimensional object image set; performing two-dimensional articulation point detection on the target two-dimensional object images in the target two-dimensional object image set by using a target two-dimensional articulation point detection model to obtain a target two-dimensional articulation point set corresponding to each target two-dimensional object image; obtaining a target three-dimensional articulation point corresponding to the target two-dimensional articulation point according to the spatial mapping relationship corresponding to each target two-dimensional articulation point in the target two-dimensional articulation point set corresponding tothe target two-dimensional object image; performing object fitting by utilizing the target three-dimensional joint points corresponding to the target two-dimensional joint points to obtain a fitted three-dimensional object model corresponding to the target three-dimensional object model. By adopting the method, the accuracy of the human body parameterized model can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, computer equipment and storage medium for deforming a parametric three-dimensional model of a human body based on neural network joint point estimation. Background technique [0002] With the development of computer technology, 3D (three dimensional, three-dimensional) technology has emerged, and the application of three-dimensional human body models in 3D printing, clothing customization, virtual fitting and animation production has been continuously explored. For example, a parametric model of a human body similar to a real person can be used to realize a virtual catwalk. Therefore, in 3D applications, how to obtain a parametric model of a human body similar to a real person is particularly important. [0003] At present, the human body is usually measured by equipment such as a depth camera to obtain a parametric model of the human body. However,...

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Problems solved by technology

[0004] Based on this, it is necessary to address the technical problem of low accuracy of the above-mentioned parametric human body model, and provide a method and device for deforming a parametric three-dimensional human body model based on neural network joint point estimation that can improve the accuracy of the parametric human body model , computer equipment and storage media

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