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Proceedings ArticleDOI

Performance enhancement of 2D face recognition via mosaicing

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TLDR
Experiments conducted on a small dataset of 27 users indicate that face mosaicing as described in this paper offers significant benefits by accounting for the pose variations commonly observed in face images.
Abstract
We describe a face mosaicing scheme that generates a composite face image during enrollment based on the evidence provided by frontal and semi-profile face images of an individual. Face mosaicing obviates the need to store multiple face templates representing multiple poses of a user's face image. In the proposed scheme, the side profile images are aligned with the frontal image using a terrain transform that exploits neighborhood properties to determine the transformation relating the 2 images. Multiresolution splining is then used to blend the side profiles with the frontal image thereby generating a composite face image of the user. A local binary pattern matching algorithm is used to compare an input face image with the template face mosaic. Experiments conducted on a small dataset of 27 users indicate that face mosaicing as described in this paper offers significant benefits by accounting for the pose variations commonly observed in face images.

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Citations
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Journal ArticleDOI

Person recognition by fusing palmprint and palm vein images based on Laplacianpalm representation

TL;DR: Experimental results show that the proposed ''Laplacianpalm'' approach provides a better representation and achieves lower error rates in palm recognition, and the proposed multimodal method outperforms any of its individual modality.
Patent

Method, system and computer program product for automatic and semi-automatic modification of digital images of faces

Parham Aarabi
TL;DR: In this paper, a method of detecting faces in digital images and matching and replacing features within the digital images is provided, and techniques for blending, recoloring, shifting and resizing of portions of digital images are disclosed.
Journal ArticleDOI

A Mosaicing Scheme for Pose-Invariant Face Recognition

TL;DR: A face mosaicing scheme that generates a composite face image during enrollment based on the evidence provided by frontal and semiproflle face images of an individual is described.
Book ChapterDOI

Blind estimation of timing and carrier frequency offsets in OFDM systems

TL;DR: A novel approach is proposed for blind synchronization of Orthogonal Frequency Division Multiplexing (OFDM) systems that shows enhanced performance in terms of Mean Square Error (MSE) when compared to estimators using the temporal autocorrelation.
Journal ArticleDOI

An efficient image-mosaicing method based on multifeature matching

TL;DR: The main originality of the proposed system resides in the preliminary manipulation of regions matching, thus making it possible to estimate the rotation, the translation and the scale factor between two successive images of the input sequence, reducing considerably the complexity of the interest points matching algorithm.
References
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Journal ArticleDOI

Face recognition: A literature survey

TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Journal ArticleDOI

Snakes, shapes, and gradient vector flow

TL;DR: This paper presents a new external force for active contours, which is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image, and has a large capture range and is able to move snakes into boundary concavities.
Journal ArticleDOI

A multiresolution spline with application to image mosaics

TL;DR: A multiresolution spline technique for combining two or more images into a larger image mosaic is defined and coarse features occur near borders are blended gradually over a relatively large distance without blurring or otherwise degrading finer image details in the neighborhood of th e border.
Journal ArticleDOI

An evaluation of multimodal 2D+3D face biometrics

TL;DR: The largest experimental study to date in multimodal 2D+3D face recognition, involving 198 persons in the gallery and either 198 or 670 time-lapse probe images, reaches major conclusions.
Proceedings ArticleDOI

Face identification across different poses and illuminations with a 3D morphable model

TL;DR: A novel approach for recognizing faces in images taken from different directions and under different illumination is presented, based on a 3D morphable face model that encodes shape and texture in terms of model parameters, and an algorithm that recovers these parameters from a single image of a face.