Fusion algorithm for cross-modal face recognition

The invention discloses a fusion algorithm for cross-modal face recognition, which comprises data description, a data set comprises data from 142 subjects, a total of 2556 pairs of image samples, each pair of samples is composed of a black-and-white image collected by a cab and a color image of an i...

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Bibliographic Details
Main Author HAN JIACHENG
Format Patent
LanguageChinese
English
Published 10.06.2025
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The invention discloses a fusion algorithm for cross-modal face recognition, which comprises data description, a data set comprises data from 142 subjects, a total of 2556 pairs of image samples, each pair of samples is composed of a black-and-white image collected by a cab and a color image of an identification photo, the number of the images of two modals is 50%, and in order to ensure the practical applicability of a test set, the fusion algorithm is provided with a fusion algorithm for cross-modal face recognition. 20% of the image pairs of each subject are randomly selected as a test set to ensure balanced distribution of different illumination conditions, shooting angles and expression changes, in addition, all the images are manually screened, samples which are seriously blurred, shielded or insufficient in illumination are removed, and the data quality is ensured; the modeling step comprises preprocessing, face area detection and face standardization, face vector representation, distance measurement,
Bibliography:Application Number: CN20251075526