Publication

Anisotropic Gaussian Filters for Face Class Modeling

Jean-Philippe Thiran, Vlad Popovici
2006
Conference Papers

Abstract

In this paper we propose a new approach to automatic human face detection which employs anisotropic Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current state of the art systems, while remaining fast enough for being used in real time systems. We report a number of results on some reference datasets and we use an unbiased method for comparing the detectors.

Official source

https://infoscience.epfl.ch/entities/publication/c8a5c725-f0a0-4a8c-a482-06151b8c299a

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Jean-Philippe Thiran, Vlad Popovici
2006
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/c8a5c725-f0a0-4a8c-a482-06151b8c299a

About this result

Related concepts (32)

Face detection

Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.

Blob detection

In computer vision, blob detection methods are aimed at detecting regions in a that differ in properties, such as brightness or color, compared to surrounding regions. Informally, a blob is a region of an image in which some properties are constant or approximately constant; all the points in a blob can be considered in some sense to be similar to each other. The most common method for blob detection is convolution.

Anisotropic diffusion

In and computer vision, anisotropic diffusion, also called Perona–Malik diffusion, is a technique aiming at reducing without removing significant parts of the image content, typically edges, lines or other details that are important for the interpretation of the image. Anisotropic diffusion resembles the process that creates a scale space, where an image generates a parameterized family of successively more and more blurred images based on a diffusion process.

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Anisotropic Gaussian Filters for Face Class Modeling

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