Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients

Mahir Faik Karaaba; Olarik Surinta; L. R. B. Schomaker; Marco A. Wiering

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients

Topics: Face and Expression Recognition; Features Extraction; Machine Learning Technologies for Vision; Object and Face Recognition

In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 582-589, 2016 , Rome, Italy

Authors: Mahir Faik Karaaba ; Olarik Surinta ; L. R. B. Schomaker and Marco A. Wiering

Affiliation: University of Groningen, Netherlands

Keyword(s): Face Recognition, Histogram of Oriented Gradients, Bag of Words, Small Sample Problem.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Face identification under small sample conditions is currently an active research area. In a case of very few reference samples, optimally exploiting the training data to make a model which has a low generalization error is an important challenge to create a robust face identification algorithm. In this paper we propose to combine the histogram of oriented gradients (HOG) and the bag of words (BOW) approach to use few training examples for robust face identification. In this HOG-BOW method, from every image many sub-images are first randomly cropped and given to the HOG feature extractor to compute many different feature vectors. Then these feature vectors are given to a K-means clustering algorithm to compute the centroids which serve as a codebook. This codebook is used by a sliding window to compute feature vectors for all training and test images. Finally, the feature vectors are fed into an L2 support vector machine to learn a linear model that will classify the test images. To show the efficiency of our method, we also experimented with two other feature extraction algorithms: HOG and the scale invariant feature transform (SIFT). All methods are compared on two well-known face image datasets with one to three training examples per person. The experimental results show that the HOG-BOW algorithm clearly outperforms the other methods. (More)

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Karaaba, M. F., Surinta, O., Schomaker, L. R. B. and Wiering, M. A. (2016). Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 582-589. DOI: 10.5220/0005722305820589

@conference{visapp16,
author={Mahir Faik Karaaba and Olarik Surinta and L. R. B. Schomaker and Marco A. Wiering},
title={Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={582-589},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005722305820589},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients
SN - 978-989-758-175-5
IS - 2184-4321
AU - Karaaba, M.
AU - Surinta, O.
AU - Schomaker, L.
AU - Wiering, M.
PY - 2016
SP - 582
EP - 589
DO - 10.5220/0005722305820589
PB - SciTePress