seetaface/SeetaFaceEngine
SeetaFaceEngine
SeetaFaceEngine 是一个 C++ 人脸识别引擎，旨在检测、对齐和识别人脸。它作为一个原生库，在不依赖外部第三方软件库的情况下执行面部分析。
该系统利用卷积神经网络框架进行面部特征提取和身份匹配，将身份表示为数值特征向量嵌入。它采用漏斗式级联方案进行实时人脸定位，并使用堆叠自动编码器网络通过地标对齐来归一化面部朝向。
该工具包将这些功能集成到一个模块化流水线中，将检测、对齐和识别序列化为一个完整的人脸识别工作流。
Features
- Facial Recognition - Identifies and verifies individuals by matching detected faces against a known set.
- Cascaded Face Detectors - Utilizes a funnel-structured cascade schema for efficient real-time face localization.
- Face Detection - Provides real-time face detection capabilities to locate multiple faces within images.
- Convolutional Neural Networks - Uses deep convolutional neural networks for extracting facial feature vectors and performing identity matching.
- Alignment Auto-Encoders - Employs stacked auto-encoder networks to normalize facial orientation through landmark alignment.
- Face Recognition Libraries - Provides a native C++ library for the complete face detection, alignment, and recognition process.
- Facial Landmark Analysis - Analyzes facial landmarks to normalize face orientation and position.
- Facial Embeddings - Represents facial identities as fixed-length numerical feature vectors for efficient similarity comparisons.
- Native C++ Implementations - Implements core mathematical computations in native C++ to ensure high execution speed without external dependencies.
- Facial Analysis Pipelines - Integrates detection, alignment, and identification into a modular, sequenced workflow.
- Face Detection - Engine for detection, alignment, and identification.
