A Markov Point Process model for wrinkles in human faces

Nazre Batool; Rama Chellappa

doi:10.1109/ICIP.2012.6467233

A Markov Point Process model for wrinkles in human faces

Nazre Batool
, Rama Chellappa

University of Maryland

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

6 Citations (Scopus)

Abstract

In this paper, we present a new generative model for wrinkles on aging human faces based on Markov Point Processes (MPP) where wrinkles are considered as stochastic spatial arrangements of sequences of line segments. The model is then used in a Bayesian framework to localize the wrinkles in images. In aging human faces, wrinkles mostly appear as discontinuities in surrounding grayscale texture. The intensity gradients due to wrinkles are enhanced using filters and used as data to detect more probable locations and directions of line segments. Wrinkles are localized by sampling MPP using the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. Experiments on images obtained from uncontrolled acquisition conditions are presented.

Original language	English
Title of host publication	2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages	1809-1812
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2012.6467233
Publication status	Published - 2012
Externally published	Yes
Event	2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States Duration: 30 Sep 2012 → 3 Oct 2012

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/Territory	United States
City	Lake Buena Vista, FL
Period	30/09/12 → 3/10/12

Keywords

Markov Point Process
Reversible Jump Markov Chain Monte Carlo
stochastic geometrical model
Wrinkles

Access to Document

10.1109/ICIP.2012.6467233

Cite this

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title = "A Markov Point Process model for wrinkles in human faces",

abstract = "In this paper, we present a new generative model for wrinkles on aging human faces based on Markov Point Processes (MPP) where wrinkles are considered as stochastic spatial arrangements of sequences of line segments. The model is then used in a Bayesian framework to localize the wrinkles in images. In aging human faces, wrinkles mostly appear as discontinuities in surrounding grayscale texture. The intensity gradients due to wrinkles are enhanced using filters and used as data to detect more probable locations and directions of line segments. Wrinkles are localized by sampling MPP using the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. Experiments on images obtained from uncontrolled acquisition conditions are presented.",

keywords = "Markov Point Process, Reversible Jump Markov Chain Monte Carlo, stochastic geometrical model, Wrinkles",

author = "Nazre Batool and Rama Chellappa",

year = "2012",

doi = "10.1109/ICIP.2012.6467233",

language = "English",

isbn = "9781467325332",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "1809--1812",

booktitle = "2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings",

note = "2012 19th IEEE International Conference on Image Processing, ICIP 2012 ; Conference date: 30-09-2012 Through 03-10-2012",

}

Batool, N & Chellappa, R 2012, A Markov Point Process model for wrinkles in human faces. in 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings., 6467233, Proceedings - International Conference on Image Processing, ICIP, pp. 1809-1812, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, United States, 30/09/12. https://doi.org/10.1109/ICIP.2012.6467233

A Markov Point Process model for wrinkles in human faces. / Batool, Nazre; Chellappa, Rama.
2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings. 2012. p. 1809-1812 6467233 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - A Markov Point Process model for wrinkles in human faces

AU - Batool, Nazre

AU - Chellappa, Rama

PY - 2012

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N2 - In this paper, we present a new generative model for wrinkles on aging human faces based on Markov Point Processes (MPP) where wrinkles are considered as stochastic spatial arrangements of sequences of line segments. The model is then used in a Bayesian framework to localize the wrinkles in images. In aging human faces, wrinkles mostly appear as discontinuities in surrounding grayscale texture. The intensity gradients due to wrinkles are enhanced using filters and used as data to detect more probable locations and directions of line segments. Wrinkles are localized by sampling MPP using the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. Experiments on images obtained from uncontrolled acquisition conditions are presented.

AB - In this paper, we present a new generative model for wrinkles on aging human faces based on Markov Point Processes (MPP) where wrinkles are considered as stochastic spatial arrangements of sequences of line segments. The model is then used in a Bayesian framework to localize the wrinkles in images. In aging human faces, wrinkles mostly appear as discontinuities in surrounding grayscale texture. The intensity gradients due to wrinkles are enhanced using filters and used as data to detect more probable locations and directions of line segments. Wrinkles are localized by sampling MPP using the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. Experiments on images obtained from uncontrolled acquisition conditions are presented.

KW - Markov Point Process

KW - Reversible Jump Markov Chain Monte Carlo

KW - stochastic geometrical model

KW - Wrinkles

UR - https://www.scopus.com/pages/publications/84875861735

U2 - 10.1109/ICIP.2012.6467233

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M3 - Conference Publication

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T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 1809

EP - 1812

BT - 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings

T2 - 2012 19th IEEE International Conference on Image Processing, ICIP 2012

Y2 - 30 September 2012 through 3 October 2012

ER -

A Markov Point Process model for wrinkles in human faces

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Keywords

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