How Do You Spell EIGENFACE?

Pronunciation: [ˈa͡ɪd͡ʒənfˌe͡ɪs] (IPA)

The spelling of the word "eigenface" uses the IPA phonetic transcription to indicate its pronunciation. "Eigen" is pronounced as "ˈaɪɡən", with the "ei" pronounced as "ai." Meanwhile, "face" is pronounced as "feɪs," with the "a" pronounced as "ei." Together, "eigenface" is pronounced as "ˈaɪɡənfeɪs." This term refers to a mathematical concept used in facial recognition technology, where a set of facial features is analyzed to create a unique identification model for each person.

EIGENFACE Meaning and Definition

1. Eigenface is a term primarily used in the field of computer vision and facial recognition to describe a set of eigenvectors that form a unique and representative basis for a dataset of face images. It refers to the statistical principle of eigenvalues and eigenvectors applied to face recognition problems.

   In more technical terms, eigenfaces are obtained by performing a principal component analysis (PCA) on a large set of face images. The process involves preprocessing the images to normalize their lighting conditions, alignment, and scale, and then extracting facial features. These features are used to create a covariance matrix, which is subsequently eigen-decomposed to generate the eigenvectors. These eigenvectors, also called eigenfaces, represent an orthonormal basis in the image space.

   Eigenfaces serve as a powerful tool for face recognition and can be used to help identify or authenticate individuals in images or videos. By representing faces as a combination of eigenfaces, it becomes possible to compare and match faces by measuring the similarity in their eigenvector weights.

   Furthermore, the concept of eigenfaces is not limited to just faces but can be extended to other objects or patterns. The term "eigen-" denotes the ability to represent a complex entity through a combination of basic components, where the eigenvalues and eigenvectors capture the most significant variations and features within the data.

Common Misspellings for EIGENFACE

• wigenface
• sigenface
• digenface
• rigenface
• 4igenface
• 3igenface
• eugenface
• ejgenface
• ekgenface
• eogenface
• e9genface
• e8genface
• eifenface
• eivenface
• eibenface
• eihenface
• eiyenface
• eitenface
• eigwnface
• eigsnface

Etymology of EIGENFACE

The word eigenface is derived from two terms: eigen, which comes from German and means own or characteristic, and face, which refers to the front part of the head that includes the forehead, eyes, nose, mouth, and chin. In the context of computer vision and facial recognition, eigenfaces are the characteristic or unique representations of faces that are extracted from a dataset using a mathematical technique called Principal Component Analysis (PCA). The term was coined by Peter N. Belhumeur, João P. Hespanha, and David J. Kriegman in their influential 1997 paper titled Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection.