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The initial stage of the pipeline involves locating faces within a video frame or image. Modern systems predominantly utilize Multi-task Cascaded Convolutional Networks (MTCNN) or Single Shot Multibox Detectors (SSD). These networks identify bounding boxes around faces and estimate facial landmarks (e.g., eyes, nose, mouth corners).
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