Attitude transformation data processing method and device, computer equipment and storage medium

An attitude transformation and data processing technology, applied in the field of image processing, can solve the problems of low image quality of attitude transformation, difficult to obtain satisfactory results, unable to solve the problem of occlusion, etc., and achieve the effect of high robustness and accuracy

Active Publication Date: 2020-04-21
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0003] In related technologies, deep learning technology can be used to solve the pose transformation problem, and the given image features can be deformed to the target pose image through the space transformation module. Ho

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  • Attitude transformation data processing method and device, computer equipment and storage medium
  • Attitude transformation data processing method and device, computer equipment and storage medium
  • Attitude transformation data processing method and device, computer equipment and storage medium

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[0025] In order to make the purpose, technical solutions, and advantages of this application clearer, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the application, and are not used to limit the application.

[0026] It can be understood that the terms “first”, “second”, etc. used in this application can be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish the first element from another element.

[0027] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results. In other ...

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Abstract

The invention relates to an attitude transformation data processing method and device, computer equipment and a storage medium, and relates to an artificial intelligence image processing technology. The method comprises the steps that a source image and a target three-dimensional posture are acquired, three-dimensional segmentation voxels including voxel category information are obtained based onsemantic segmentation reconstruction, the three-dimensional segmentation voxels are projected to obtain a corresponding target posture two-dimensional segmentation image, and objects in the target posture two-dimensional segmentation image are labeled based on the category information to obtain component categories; a target two-dimensional attitude corresponding to the target three-dimensional attitude is obtained, and the source image, the target attitude two-dimensional segmentation image and the features of the target two-dimensional attitude are extracted to synthesize an intermediate-scale transformation image; the source image, the three-dimensional segmentation voxel, the target two-dimensional attitude and the transformation image are cut to obtain component layer data of each object component, and component synthesis on the component layer data of each object component is performed to generate a component image; and the transformed image and the component image are fused to obtain a target attitude image, thereby improving the quality of the attitude transformed image.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a pose transformation data processing method, device, computer equipment and storage medium. Background technique [0002] Pose transformation is an emerging research technique in image synthesis that aims to transform a given image of an object into a target pose while maintaining the consistency of the object's appearance. [0003] In related technologies, deep learning technology can be used to solve the pose transformation problem, and the given image features can be deformed to the target pose image through the space transformation module. However, when the visual features change due to the large pose interval, it will be difficult to obtain satisfactory results. , also cannot solve the occlusion problem, resulting in low-quality pose-transformed images. Contents of the invention [0004] Based on this, it is necessary to address the above technical problems and ...

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Application Information

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IPC IPC(8): G06T5/50G06T7/10G06N3/04
CPCG06T5/50G06T7/10G06T2207/20084G06T2207/20221G06N3/045
Inventor 吴现李琛戴宇荣
Owner TENCENT TECH (SHENZHEN) CO LTD
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