Connectionist models of face processing: A survey
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Summary
One advantage of these models over some nonconnectionist approaches is that analyzable features emerge naturally from image-based codes, and hence the problem of feature selection and segmentation from faces can be avoided.
- Type
- article
- Published
- 1994-09-01
- Cited by
- 451
- References
- 60
- OpenAlex
- https://openalex.org/W2014102379
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5315848
Keywords
Connectionism, Computer science, Backpropagation, Artificial intelligence, Categorization
References
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- Understanding face recognition.
- Low-dimensional representation of faces in higher dimensions of the face space
- Automatic recognition and analysis of human faces and facial expressions: a survey
- Recognizing human eyes
- Connectionist Models and Their Properties
- Principal Components Analysis Of Images Via Back Propagation
- Machine identification of human faces
- Theory and Applications of Correspondence Analysis
- Facenet: A connectionist model of face identification in context.
- Distinctive features, categorical perception, and probability learning: some applications of a neural model
- The Automatic Recognition of Human Faces from Profile Silhouettes
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- Processing of Face Images and Its Applications
- Face Recognition through Multilayer Perceptron (MLP) and Learning Vector Quantization (LVQ)
- Feature and Decision Fusion based Facial Recognition in Challenging Environment
- Connectionist "face"-off: Different algorithms for different tasks
- Modeling physical personalities for virtual agents by modeling trait impressions of the face: a neural network analysis
- Biometric Applications Based on Multiresolution Analysis Tools
- Making Extreme Caricatures with a New Interactive 2D Deformation Technique with Simplicial Complexes
- An Environment to Acknowledge the Interface between Affect and Cognition
- Photorealistic retrieval of occluded facial information using a performance-driven face model
- EXPRESSION-INDEPENDENT FACE RECOGNITION USING BIOLOGICALLY INSPIRED FEATURES
- Autenticación Facial Inteligente
- 3D object and human face recognition using appearance manifold with view-dependent covariance matrix
- Algorithms and VLSI architectures for low-power mobile face verification
- An analogy between various machine-learning techniques for detecting construction materials in digital images
- Face image analysis by unsupervised learning
- Adaptive blind signal and image processing
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