Proceedings ArticleDOI
Feature selection for pose invariant face recognition
Berk Gökberk,Lale Akarun,Ethem Alpaydin +2 more
- Vol. 4, pp 40306-40306
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TLDR
This work has designed a feature based pose estimation and face recognition system using 2D Gabor wavelets as local feature information and it is shown that local feature based approach improved the performance of both pose estimationand face recognition.Abstract:
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In this work, we have designed a feature based pose estimation and face recognition system using 2D Gabor wavelets as local feature information. The difference of our system from the existing ones lies in its simplicity and its intelligent sampling of local features. Intelligent feature selection can be carried out by learning a set of parameters where the aim is the optimal performance of the overall system. In this paper we give comparative analysis of the performance of our system with the standard modular eigenfaces approach and show that local feature based approach improved the performance of both pose estimation and face recognition. For efficient coding, we have employed principal component analysis to the outputs of local feature vectors. Intelligent feature selection also reduced the space and time complexity of the system while retaining almost the same estimation and recognition accuracy.read more
Citations
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Proceedings ArticleDOI
A wearable face recognition system for individuals with visual impairments
TL;DR: This paper describes the iCare Interaction Assistant, an assistive device for helping the individuals who are visually impaired during social interactions with real-time face recognition algorithms on a wearable device.
Establishing Good Benchmarks and Baselines for Face Recognition
TL;DR: For example, Cox et al. as discussed by the authors used the label-free face recognition dataset (LFW) as a baseline against which the performance of other face recognition systems can be evaluated.
Proceedings ArticleDOI
Color face recognition by hypercomplex Gabor analysis
Creed F. Jones,A.L. Abbott +1 more
TL;DR: In this article, the well-known Gabor filter was extended to the hypercomplex domain, and several modes of this extension were discussed, and a preferred formulation was selected for color-based feature extraction.
Journal ArticleDOI
Face recognition under pose variations
Shan Du,Rabab K. Ward +1 more
TL;DR: A review of the typical algorithms that aim to overcome one of the main obstacles in the face recognition task, the variations in face pose, is presented in this article, where future research challenges in pose-invariant face recognition are also identified.
Journal ArticleDOI
Learning the best subset of local features for face recognition
TL;DR: A novel, local feature-based face representation method based on two-stage subset selection where the first stage finding the informative regions and the second stage finds the discriminative features in those locations for person identification.
References
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Active appearance models
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Proceedings ArticleDOI
View-based and modular eigenspaces for face recognition
Pentland,Moghaddam,Starner +2 more
TL;DR: In this paper, a view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose, which incorporates salient features such as the eyes, nose and mouth, in an eigen feature layer.
Journal ArticleDOI
Synthesis of Novel Views from a Single Face Image
TL;DR: A new technique is described for synthesizing images of faces from new viewpoints, when only a single 2D image is available, which is interesting for view independent face recognition tasks as well as for image synthesis problems in areas like teleconferencing and virtualized reality.
Proceedings ArticleDOI
An investigation into face pose distributions
TL;DR: This work uses a variation of Gabor wavelet transform as a representation framework for investigating face pose measurement and Dimensionality reduction using principal components analysis (PCA) enables pose changes to be visualised as manifolds in low-dimensional subspaces and provides a useful mechanism for investigating these changes.
Journal ArticleDOI
Gabor wavelet networks for efficient head pose estimation
Volker Krüger,Gerald Sommer +1 more
TL;DR: This paper first introduces the Gabor wavelet network (GWN) as a model-based approach for effective and efficient object representation and presents an approach for the estimation of head pose based on the GWNs.