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  2. Worth 4 dot test - Wikipedia

    en.wikipedia.org/wiki/Worth_4_dot_test

    assess degree of binocular vision. The Worth Four Light Test, also known as the Worth's four dot test or W4LT, is a clinical test mainly used for assessing a patient's degree of binocular vision and binocular single vision. Binocular vision involves an image being projected by each eye simultaneously into an area in space and being fused into a ...

  3. Heterophoria - Wikipedia

    en.wikipedia.org/wiki/Heterophoria

    Heterophoria is an eye condition in which the directions that the eyes are pointing at rest position, when not performing binocular fusion, are not the same as each other, or, "not straight". This condition can be esophoria, where the eyes tend to cross inward in the absence of fusion; exophoria, in which they diverge; or hyperphoria, in which ...

  4. Eigenface - Wikipedia

    en.wikipedia.org/wiki/Eigenface

    Eigenface. An eigenface ( / ˈaɪɡən -/ EYE-gən-) is the name given to a set of eigenvectors when used in the computer vision problem of human face recognition. [1] The approach of using eigenfaces for recognition was developed by Sirovich and Kirby and used by Matthew Turk and Alex Pentland in face classification.

  5. Fusiform face area - Wikipedia

    en.wikipedia.org/wiki/Fusiform_face_area

    Anatomical terminology. [ edit on Wikidata] The fusiform face area ( FFA, meaning spindle-shaped face area) is a part of the human visual system (while also activated in people blind from birth [1]) that is specialized for facial recognition. [2] It is located in the inferior temporal cortex (IT), in the fusiform gyrus ( Brodmann area 37 ).

  6. Three-dimensional face recognition - Wikipedia

    en.wikipedia.org/wiki/Three-dimensional_face...

    Three-dimensional face recognition ( 3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition .

  7. Face space - Wikipedia

    en.wikipedia.org/wiki/Face_space

    Face space is a theoretical idea in psychology such that it is a multidimensional space in which recognizable faces are stored. The representation of faces within this space are according to invariant features of the face itself. [1] However, recently it was theoretically demonstrated that faces can be stored in the face space according to ...

  8. Face inversion effect - Wikipedia

    en.wikipedia.org/wiki/Face_inversion_effect

    Neural systems of face recognition Location of the Fusiform Face Area. Faces are processed in separate areas of the brain to other stimuli, such as scenes or non-facial objects. For example, the fusiform face area (FFA) is a face-selective region in the brain that is only used for facial processing.

  9. Esophoria - Wikipedia

    en.wikipedia.org/wiki/Esophoria

    Esophoria is an eye condition involving inward deviation of the eye, usually due to extra-ocular muscle imbalance. It is a type of heterophoria. Cause. Causes include: Refractive errors; Divergence insufficiency; Convergence excess; this can be due to nerve, muscle, congenital or mechanical anomalies.

  10. File:Face Recognition.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Face_Recognition.pdf

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  11. Diffusion map - Wikipedia

    en.wikipedia.org/wiki/Diffusion_map

    Applications based on diffusion maps include face recognition, spectral clustering, low dimensional representation of images, image segmentation, 3D model segmentation, speaker verification and identification, sampling on manifolds, anomaly detection, image inpainting, revealing brain resting state networks organization and so on.