Pedestrian re-identification three-dimensional data set construction method and device based on neural radiation field

Abstract

The invention discloses a pedestrian re-identification three-dimensional data set construction method and device based on a neural radiation field. The method comprises the following steps: S1, carrying out image acquisition on a pedestrian to be input through a group of cameras with different visual angles; s2, sampling through camera rays in a scene to generate a three-dimensional space position point set, and converting the observation direction of a camera corresponding to the three-dimensional space position point set into a three-dimensional Cartesian unit vector; s3, inputting the three-dimensional space position point set and the observation direction, converted into the three-dimensional Cartesian unit vector, of the three-dimensional space position point set into a multi-layer sensor, and outputting corresponding density and color; according to the pedestrian re-identification three-dimensional data set construction method and device based on the neural radiation field, a brand-new pedestrian re-identification data set construction method is provided, and a new thought for data set construction is provided. Compared with a traditional data set construction method, the data acquisition mode is more direct and clear through images and spatial positions acquired by multiple devices.

Description

technical field [0001] The invention relates to the technical field of pedestrian re-identification, in particular to a method and device for constructing a three-dimensional data set for pedestrian re-identification based on a neural radiation field. Background technique [0002] Person re-identification, also known as person re-identification, is widely regarded as a sub-problem of image retrieval. It uses computer vision technology to determine whether there is a specific pedestrian in videos and images, and, given a pedestrian image, performs cross-device retrieval of the pedestrian's image. Pedestrian re-identification technology can be combined with a variety of technologies and applied to security, video surveillance, prisoner monitoring and other directions. [0003] Pedestrian re-identification technology has many advantages, such as using gait, physical characteristics and clothing to identify people more comprehensively, and can retrieve pedestrians across device...

AI Technical Summary

Problems solved by technology

[0005] Compared with the actual monitoring network, the early data sets have fewer pedestrians and cameras and a smaller amount of data; the time span is short, the lighting conditions change less, and data under different lighting conditions are lacking; the scene is single and the scene coverage is small; more Insufficient manual labeling costs are high, data collection is cumbersome and difficult

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