Face Detection Through Neural Analysis
Akhil G S, Gibu George
S4 Mechanical Engineering,
Muslim Association College Of Engineering, Venjaramoodu



Abstract
The aim of this paper is to implement an effective system to locate upright frontal faces on monochromatic images
with use of a neural network-based classifier. In this paper, A new approach to reduce the computation time taken
by fast neural nets for the searching process is presented. The principle of ....etc

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Rules of Designing Routing Metrics for Greedy,
Face, and Combined Greedy-Face Routing

Yujun Li, Yaling Yang, and Xianliang Lu




Abstract—


Different geographic routing protocols have different requirements on routing metric designs to ensure proper operation.
Combining a wrong type of routing metrics with a geographic routing protocol may produce unexpected results, such as geographic
routing loops and unreachable nodes. In this paper, we propose a novel routing algebra system to investigate t ....etc

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Neural Network-Based Face Detection

Abstract: We present a neural network-based upright frontal face detection system. A retinal connected neural network examines small windows of an image, and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We present a straightforward procedure for aligning positive face examples for training. To collect negative examples, we use a bootstrap algorithm, which adds false detections into the training set as training pr ....etc

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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....etc

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Face Detection in images : Neural networks & Support Vector Machines
ABSTRACT
Over the years, one of the many problems being dealt with by the computer-vision community is that of face detection and recognition in images. The applications of such a system are numerous, from automated security systems, census, intelligence information etc. In this report, we present our experience with two of the most successful techniques present today (,) and extensions of this work into other interesting applicati ....etc

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AN EDGE-BASED FACE DETECTION ALGORITHM ROBUST AGAINST
ILLUMINATION, FOCUS, AND SCALE VARIATIONS
ABSTRACT
A face detection algorithm very robust against illumination,focus and scale variations in input images has been developedbased on the edge-based image representation. Themultiple-clue face detection algorithm developed in our previouswork has been employed in conjunction with a newdecision criterion called .density rule,. where only high densityclusters of detected face candidates are retained as faces.As a result, the occurre ....etc

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Richard M. Jiang, Abdul H. Sadka, Huiyu Zhou


ABSTRACT

In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour filtering classifier to enhance the accuracy in face detection. The initial experimental benchmark shows the proposed scheme can be efficiently applied for image annotation with higher fidelity.

Introd ....etc

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Presented By
Ramakrishna Paruchuri

Abstract
This article is the brief summary based on the reference article “advances in the face
detection and recognition technologies” by Atsushi SATO, Hitoshi IMMOKA, SUZUKI
and HOSAI. This report briefly describes the advances in the authors face detection and
recognition technologies. For the face detection they proposed a combined scheme for
both face and eye based on the Generalized Learning Vector Quantization method. For
the face recognition a perturbation method has been impr ....etc

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Abstract
Face detection is an important aspect for biometrics,video surveillance and human computer interaction. Wepresent a multi-GPU implementation of the Viola-Jones facedetection algorithm that meets the performance of the fastestknown FPGA implementation. The GPU design offers far lowerdevelopment costs, but the FPGA implementation consumesless power. We discuss the performance programming requiredto realize our design, and describe future research directions.Keywords-Graphical Processing Unit; Face Detection; FieldProgrammable Ga ....etc

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Neural Network-Based Face Detection
Abstract: We present a neural network-based upright frontal face detection system. A retinal connected neural network examines small windows of an image, and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We present a straightforward procedure for aligning positive face examples for training. To collect negative examples, we use a bootstrap algorithm, which adds false detections into the training set as training progr ....etc

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