Region-based reconstruction for face hallucination

Jeong Seon Park, Junseak Lee, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new method for synthesizing high resolution faces from single-frame low-resolution facial images, using a region-based reconstruction method of an extended morphable face model. In the method, we suppose that any noble facial image can be reconstructed by a linear combination of prototypes obtained from training facial images. Then, in order to maintain the local characteristics of local facial regions, we apply a region-based reconstruction method. The encouraging results show that the proposed methods can be used to improve the performance of face recognition systems, particularly to enhance the resolution of facial images captured from visual surveillance systems.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages44-53
Number of pages10
Volume4351 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2007 Dec 1
Event13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore
Duration: 2007 Jan 92007 Jan 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4351 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Multimedia Modeling Conference, MMM 2007
CountrySingapore
CitySingapore
Period07/1/907/1/12

Fingerprint

Face recognition
Face
Visual Surveillance
Face Recognition
Linear Combination
High Resolution
Prototype

Keywords

  • Example-based reconstruction
  • Extended morphable face model
  • Face hallucination
  • Face recognition
  • Super-resolution

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Park, J. S., Lee, J., & Lee, S. W. (2007). Region-based reconstruction for face hallucination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 4351 LNCS, pp. 44-53). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4351 LNCS, No. PART 1). https://doi.org/10.1007/978-3-540-69423-6_5

Region-based reconstruction for face hallucination. / Park, Jeong Seon; Lee, Junseak; Lee, Seong Whan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4351 LNCS PART 1. ed. 2007. p. 44-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4351 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Park, JS, Lee, J & Lee, SW 2007, Region-based reconstruction for face hallucination. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 4351 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4351 LNCS, pp. 44-53, 13th International Multimedia Modeling Conference, MMM 2007, Singapore, Singapore, 07/1/9. https://doi.org/10.1007/978-3-540-69423-6_5
Park JS, Lee J, Lee SW. Region-based reconstruction for face hallucination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 4351 LNCS. 2007. p. 44-53. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-540-69423-6_5
Park, Jeong Seon ; Lee, Junseak ; Lee, Seong Whan. / Region-based reconstruction for face hallucination. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4351 LNCS PART 1. ed. 2007. pp. 44-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
@inproceedings{335fb1a137f3489db0b72816626cf5ca,
title = "Region-based reconstruction for face hallucination",
abstract = "This paper proposes a new method for synthesizing high resolution faces from single-frame low-resolution facial images, using a region-based reconstruction method of an extended morphable face model. In the method, we suppose that any noble facial image can be reconstructed by a linear combination of prototypes obtained from training facial images. Then, in order to maintain the local characteristics of local facial regions, we apply a region-based reconstruction method. The encouraging results show that the proposed methods can be used to improve the performance of face recognition systems, particularly to enhance the resolution of facial images captured from visual surveillance systems.",
keywords = "Example-based reconstruction, Extended morphable face model, Face hallucination, Face recognition, Super-resolution",
author = "Park, {Jeong Seon} and Junseak Lee and Lee, {Seong Whan}",
year = "2007",
month = "12",
day = "1",
doi = "10.1007/978-3-540-69423-6_5",
language = "English",
isbn = "9783540694212",
volume = "4351 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "44--53",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 1",

}

TY - GEN

T1 - Region-based reconstruction for face hallucination

AU - Park, Jeong Seon

AU - Lee, Junseak

AU - Lee, Seong Whan

PY - 2007/12/1

Y1 - 2007/12/1

N2 - This paper proposes a new method for synthesizing high resolution faces from single-frame low-resolution facial images, using a region-based reconstruction method of an extended morphable face model. In the method, we suppose that any noble facial image can be reconstructed by a linear combination of prototypes obtained from training facial images. Then, in order to maintain the local characteristics of local facial regions, we apply a region-based reconstruction method. The encouraging results show that the proposed methods can be used to improve the performance of face recognition systems, particularly to enhance the resolution of facial images captured from visual surveillance systems.

AB - This paper proposes a new method for synthesizing high resolution faces from single-frame low-resolution facial images, using a region-based reconstruction method of an extended morphable face model. In the method, we suppose that any noble facial image can be reconstructed by a linear combination of prototypes obtained from training facial images. Then, in order to maintain the local characteristics of local facial regions, we apply a region-based reconstruction method. The encouraging results show that the proposed methods can be used to improve the performance of face recognition systems, particularly to enhance the resolution of facial images captured from visual surveillance systems.

KW - Example-based reconstruction

KW - Extended morphable face model

KW - Face hallucination

KW - Face recognition

KW - Super-resolution

UR - http://www.scopus.com/inward/record.url?scp=84886438881&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84886438881&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-69423-6_5

DO - 10.1007/978-3-540-69423-6_5

M3 - Conference contribution

AN - SCOPUS:84886438881

SN - 9783540694212

VL - 4351 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 44

EP - 53

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -