Image-to-video face identification method based on distinguish analysis oriented to scenes

Abstract

The embodiment of the invention provides an image-to-video face identification method based on distinguish analysis oriented to scenes. The image-to-video face identification method comprises the steps: (1) detecting a face area in an input static image and a face video and normalizing the face area to the same size; (2) extracting the feature of the face area subjected to normalization processing and conducting dimensionality reduction; (3) establishing different mapping matrixes for the extracted static scene face and video scene face and calculating the feature expression of an original feature in mapping space; (4) optimizing mapping matrix parameters of a static scene and a video scene by binding intra-class compactness and inter-class separability according to image video face training data coupled with identification; (5) inputting the face video to be tested and the face image in the data base into the corresponding mapping matrixes, calculating new features, and adopting the nearest neighbor heuristics to identify face identification. According to the image-to-video face identification method based on distinguish analysis oriented to scenes, different mapping matrixes are established for different scenes, modeling is effectively conducted according to the data feature of different scenes, and the mapping matrixes oriented to the scenes are optimized by utilizing linear judgment, analysis and learning, so that the converted feature is well distinguished.

Description

technical field [0001] The invention belongs to the technical field of video face recognition, in particular to an image-to-video face recognition method based on scene discriminant analysis. Background technique [0002] With the popularization of information collection equipment such as cameras, video data resources have gradually been widely used in daily life. One of the important applications includes facial photo matching in various scenarios, such as recognizing face images in driver's licenses, passports, and ID cards. Therefore, face recognition research based on video data is called an urgent and important task. Here, we mainly focus on real-world image-to-video face recognition applications. In this scenario, each person in the database registers only a single or a small number of high-quality still pictures, while the query pictures are multiple video clips. These videos are usually obtained from different environments, which are interfered by factors such as ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of large differences in the distribution of face data features in cross-scene fac

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