Literature DB >> 23964805

Deformable templates for face recognition.

A L Yuille1.   

Abstract

We describe an approach for extracting facial features from images and for determining the spatial organization between these features using the concept of a deformable template. This is a parameterized geometric model of the object to be recognized together with a measure of how well it fits the image data. Variations in the parameters correspond to allowable deformations of the object and can be specified by a probabilistic model. After the extraction stage the parameters of the deformable template can be used for object description and recognition.

Entities:  

Year:  1991        PMID: 23964805     DOI: 10.1162/jocn.1991.3.1.59

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  8 in total

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Authors:  D Mumford
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2.  A Bayesian Algorithm for Reading 1D Barcodes.

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4.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

5.  A comprehensive survey on techniques to handle face identity threats: challenges and opportunities.

Authors:  Mayank Kumar Rusia; Dushyant Kumar Singh
Journal:  Multimed Tools Appl       Date:  2022-06-10       Impact factor: 2.577

6.  Figure-Ground Segmentation Using Factor Graphs.

Authors:  Huiying Shen; James Coughlan; Volodymyr Ivanchenko
Journal:  Image Vis Comput       Date:  2009-06-04       Impact factor: 2.818

7.  Maximal Dependence Capturing as a Principle of Sensory Processing.

Authors:  Rishabh Raj; Dar Dahlen; Kyle Duyck; C Ron Yu
Journal:  Front Comput Neurosci       Date:  2022-03-25       Impact factor: 2.380

8.  Prediction, Bayesian inference and feedback in speech recognition.

Authors:  Dennis Norris; James M McQueen; Anne Cutler
Journal:  Lang Cogn Neurosci       Date:  2015-09-04       Impact factor: 2.331

  8 in total

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