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Atlas de IA

Reconhecimento facial

Decidir se dois rostos são da mesma pessoa

Compreensão visualIntermediário #16
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O texto completo é apresentado em inglês; o título e o resumo estão traduzidos.

O QUE ESTA CAPACIDADE SIGNIFICA

Takes one or two face images and outputs an identity decision: verification answers whether the two are the same person, while identification asks who in a gallery a face matches. Faces are first aligned and encoded into feature vectors, then compared by distance. Unlike classification the class set is not fixed; the comparison target comes from a dynamic gallery.

Como é feita tecnicamente

The pipeline typically detects a face, aligns it by keypoints, and extracts a feature vector with a deep network trained by metric learning to pull the same person together and push others apart. Early systems relied on hand-crafted features; deep metric learning around 2014 pushed accuracy past the practical threshold. Liveness detection, which separates a live person from a photo or a mask, is an indispensable part of any deployment.

Produtos representativos

1

Organizações relacionadas

Usos típicos

  • Access control and ID verification
  • Automatic people grouping in photo albums
  • Identity confirmation for remote account opening
  • Video search and person tracking

Como avaliar se funciona bem

1:1 verification accuracy
Correct same-or-different decisions
TAR@FAR
True accept rate at a fixed false accept rate
Identification mAP
Ranking quality when searching a gallery

Limites e dificuldades

  • Large pose differences, age gaps and harsh lighting push the same person apart in feature space
  • Uneven training data produces systematic bias across skin tones and genders
  • Photos, replayed video and realistic masks can fool the system, so liveness detection is required, not optional

Conceitos por trás