Expressions invariant face recognition using SURF and Gabor features

Bairagi, Barun Kumar; Chatterjee, Arpitam; Das, Samir Chandra; Tudu, Bipan

doi:10.1109/eait.2012.6407888

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…In order to overcome these problems, some research has outlined the necessity for a pre-processing stage in order to make use of valid facial images which are unadulterated with the use of make-up, wigs, facial hair or glasses. The pre-processing stages of illumination normalization and histogram equalization techniques have been developed to enhance or retrieve the input image [3]- [7]. However, these techniques do not solve the problems of pose and expression changes.…”

Section: Review Of the Literaturementioning

confidence: 99%

The Feasibility of Implementing a Face Recognition System Based on a Gabor Filter and Nearest Neighbor Techniques in an FPGA Device for Door Control Systems

Al-Shebani¹,

Premaratne²,

Vial³

et al. 2015

JCP

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Door access control systems based on face recognition are geared towards simplifying difficult face recognition problems in uncontrolled environments. Such systems are able to control illumination, offer neutral pose and improve the poor performance of many face recognition algorithms. Door access control systems control illumination and pose in order to overcome face recognition problems. While there have been significant improvements in the algorithms with increasing recognition accuracy, very little research has been conducted on implementing these in hardware devices. Most of the previous studies focused on implementing a simple principal component analysis in hardware with low recognition accuracy. In contrast, the use of a Gabor filter for feature extraction and the nearest neighbour method for classification were found to be better alternatives. Dramatic developments in field programmable gate arrays (FPGAs) have allowed designers to select various resources and functions to implement many complex designs. The aim of this paper is to present the feasibility of implementing Gabor filter and nearest neighbour face recognition algorithms in an FPGA device for face recognition. Our simulation using Xilinx FPGA platforms verified the feasibility of such a system with minimum hardware requirements.

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Section: Review Of the Literaturementioning

confidence: 99%

The Feasibility of Implementing a Face Recognition System Based on a Gabor Filter and Nearest Neighbor Techniques in an FPGA Device for Door Control Systems

Al-Shebani¹,

Premaratne²,

Vial³

et al. 2015

JCP

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show abstract

“…Apart from orientation, invariant to illumination property makes them appropriate to capture phase information of the pixels. Additionally, it is also an effective method to capture the texture of images [16]. A Gabor wavelet filter is a Gaussian kernel function modulated by a sinusoidal plane wave as in (1).…”

Section: Wavelet Transformsmentioning

confidence: 99%

Score Fusion of SIFT & SURF Descriptors for Face Recognition Using Wavelet Transforms

Ameen¹,

Eleyan²

2017

IJIGSP

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Abstract-Automatic face recognition is a major research area in computer vision which aims to recognize human face without human intervention. Significant developments in this field have shown that in many face recognition applications the automated techniques outperform humans. The conventional Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) are used in face recognition where they provide high performances. However, this performance can be improved further by transforming the input into different domains before applying SIFT and SURF algorithms. Hence, we apply Discrete Wavelet Transform (DWT) or Gabor Wavelet Transform (GWT) at the input face images, which provides denser and extra information to be used by the conventional SIFT or SURF algorithms. Matching scores of SIFT or SURF from each subimage is fused before making final decision. Simulations show that the proposed approaches based on wavelet transforms using SIFT or SURF provides very high performance compared to the conventional algorithms.

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Nonlinear Transformation of the Distance Function in the Nearest Neighbor Image Recognition

Savchenko

2014

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

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Expressions invariant face recognition using SURF and Gabor features

Cited by 10 publications

References 13 publications

The Feasibility of Implementing a Face Recognition System Based on a Gabor Filter and Nearest Neighbor Techniques in an FPGA Device for Door Control Systems

The Feasibility of Implementing a Face Recognition System Based on a Gabor Filter and Nearest Neighbor Techniques in an FPGA Device for Door Control Systems

Score Fusion of SIFT & SURF Descriptors for Face Recognition Using Wavelet Transforms

Nonlinear Transformation of the Distance Function in the Nearest Neighbor Image Recognition

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