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Three-dimensional point cloud head posture estimation system and method based on ordered regression and soft labels

A technology of 3D point cloud and head posture, applied in neural learning methods, 3D object recognition, calculation, etc., can solve problems such as poor recognition effect of hard regression data

Active Publication Date: 2020-07-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a 3D point cloud head pose estimation system and method based on ordered regression and soft labels, and solve the problem that the hard regression data recognition effect of the prior art is not good

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  • Three-dimensional point cloud head posture estimation system and method based on ordered regression and soft labels
  • Three-dimensional point cloud head posture estimation system and method based on ordered regression and soft labels
  • Three-dimensional point cloud head posture estimation system and method based on ordered regression and soft labels

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Embodiment Construction

[0053] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed item...

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Abstract

The invention discloses a three-dimensional point cloud head posture estimation system and method based on ordered regression and soft labels. The system comprises a feature learning network module which is used for the layered feature extraction of point cloud data; the prediction network module is used for mapping the features obtained by the feature learning network module to a head attitude angle to obtain an angle prediction value, and substituting the angle prediction value and the head attitude angle serving as a label into a first loss function; the sorting network module is used for carrying out dimension division on the head attitude angle to form a plurality of subtasks, generating a soft label according to the relationship between the head attitude angle serving as a label andthe subtasks, carrying out value prediction on the features obtained by the feature learning network module, and substituting the value prediction of the point cloud data and the soft label into a second loss function; network updating module. The loss of the sorting network module and the loss of the prediction network module are combined to introduce the sorting network so as to guide the learning of the prediction network, so that the feature extraction is more accurate, and the precision of the prediction network is improved.

Description

technical field [0001] The invention relates to the field of head pose estimation, in particular to a system and method for 3D point cloud head pose estimation based on ordered regression and soft labels. Background technique [0002] Robust head pose estimation is the basis of many problems in computer vision and computer graphics, and has a wide range of applications in human-computer interaction, such as: VR / AR, driver behavior analysis, etc. In recent years, head pose estimation from RGB images has made great progress and has been successfully applied to constrained scenes. However, the challenges posed by unconstrained scenes, such as illumination changes, large pose changes, and more severe occlusions, make RGB-based methods unreliable. Moreover, using RGB images to convey facial appearance information is considered a threat to individual privacy, which is one of the major concerns in modern society and limits its further applications. [0003] With the popularity of...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06V20/64G06V20/597G06V10/40G06F18/241
Inventor 王旭鹏桑楠肖仕华
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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