Local feature evaluation for a constrained local model framework

Maiya Hori, Shogo Kawai, Hiroki Yoshimura, Yoshio Iwai

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

Abstract

We present local feature evaluation for a constrained local model (CLM) framework. We target facial images captured by a mobile camera such as a smartphone. When recognizing facial images captured by a mobile camera, changes in lighting conditions and image degrada- tion from motion blur are considerable problems. CLM is effective for recognizing a facial expression because partial occlusions can be han- dled easily. In the CLM framework, the optimization strategy is local expert-based deformable model fitting. The likelihood of alignment at a particular landmark location is acquired beforehand using the local features of a large number of images and is used for estimating model parameters. In this learning phase, the features and classifiers used have a great influence on the accuracy of estimation in landmark locations. In our study, tracking accuracy can be improved by changing the features and classifiers for parts of the face. In the experiments, the likelihood map was generated using various features and classifiers, and the accuracy of landmark locations was compared with the conventional method.

Original languageEnglish
Title of host publicationFace and Facial Expression Recognition from Real World Videos - International Workshop, Revised Selected Papers
EditorsGang Hua, Qiang Ji, Thomas B. Moeslund, Kamal Nasrollahi
PublisherSpringer Verlag
Pages11-19
Number of pages9
ISBN (Electronic)9783319137360
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes
EventInternational Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2014 held in conjunction with 22nd International Conference on Pattern Recognition, 2014 - Stockholm, Sweden
Duration: Aug 24 2014Aug 24 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8912
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2014 held in conjunction with 22nd International Conference on Pattern Recognition, 2014
CountrySweden
CityStockholm
Period8/24/148/24/14

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hori, M., Kawai, S., Yoshimura, H., & Iwai, Y. (2015). Local feature evaluation for a constrained local model framework. In G. Hua, Q. Ji, T. B. Moeslund, & K. Nasrollahi (Eds.), Face and Facial Expression Recognition from Real World Videos - International Workshop, Revised Selected Papers (pp. 11-19). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8912). Springer Verlag. https://doi.org/10.1007/978-3-319-13737-7_2