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Title: Face Recognition using the Techniques Base on Principal Component Analysis PCA
Page Link: Face Recognition using the Techniques Base on Principal Component Analysis PCA -
Posted By: computer science crazy
Created at: Tuesday 24th of February 2009 02:51:20 AM
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During several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application. Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear Discriminant (FLD), Face Specific Subspace (FSS) will be discussed. We will review the developed idea used in the 2D-PCA ....etc

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Title: source code for pose invariant face recognition
Page Link: source code for pose invariant face recognition -
Posted By: archana.telagi
Created at: Wednesday 08th of February 2012 09:27:52 PM
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myself archana telagi, i am in final sem of my mtech so i am doing project on pose invariant 2D face recognition so i wanted its source code ....etc

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Title: Face Recognition using the Techniques Base on Principal Component Analysis PCA
Page Link: Face Recognition using the Techniques Base on Principal Component Analysis PCA -
Posted By: Computer Science Clay
Created at: Sunday 01st of March 2009 01:15:52 PM
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Face Recognition using the Techniques Base on Principal Component Analysis (PCA)

several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application.

Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear ....etc

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Title: face recognition using pca full report
Page Link: face recognition using pca full report -
Posted By:
Created at: Monday 04th of March 2013 03:59:41 PM
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Title: Object class recognition using unsupervised scale-invariant learning FULL REPORT
Page Link: Object class recognition using unsupervised scale-invariant learning FULL REPORT -
Posted By: seminar class
Created at: Wednesday 27th of April 2011 12:26:32 PM
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PRESENTED BY:
Devansh Tripathi


Goal
• Recognition of object categories
• Unassisted learning
Some object categories
Difficulties:

• Size variation
• Background clutter
• Occlusion
• Intra-class variation
Main issues
• Representation
• Learning
• Recognition
Model: Constellation of Parts
f Fischler & Elschlager 1973
f Yuille ‘91
f Brunelli & Poggio ‘93
f Lades, v.d. Malsburg et al. ‘93
f Cootes, Lanitis, Taylor et al. ‘95
f Amit & Geman ‘95 ....etc

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Title: PCA based Eigen Face Generation
Page Link: PCA based Eigen Face Generation -
Posted By: seminar class
Created at: Thursday 03rd of March 2011 01:21:26 PM
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Principal Component Analysis
• PCA is a powerful tool for analyzing data.
• It is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences.
• Principal component analysis (PCA) involves a mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.
• Principal Components Analysis is a method that reduces data dimensionality by performing a c ....etc

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Title: AN EDGE-BASED FACE DETECTION ALGORITHM ROBUST AGAINST ILLUMINATION FOCUS AND SCALE
Page Link: AN EDGE-BASED FACE DETECTION ALGORITHM ROBUST AGAINST ILLUMINATION FOCUS AND SCALE -
Posted By: seminar class
Created at: Thursday 05th of May 2011 07:27:58 PM
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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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Title: pca face recognition free source code matlab
Page Link: pca face recognition free source code matlab -
Posted By:
Created at: Wednesday 03rd of August 2016 06:38:48 PM
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Hi am suvarnsing i would like to get details on A multimodal Biometrics System face, ear and signature using rank level fusionfree source code matlab ..My friend Justin said pca face recognition free source code matlab will be available here and now i am living at aurangabad(MH) and i last studied in the college/school Department of Computer Science & Information Technology, Dr Babasaheb Ambedkar Marathwada University Campus, Aurangabad, Maharashtra and now am doing M.Phil i need help on A multimodal Biometrics System face, ear and signature u ....etc

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Title: Human Face Recognition Using PCA on Wavelet Subband
Page Link: Human Face Recognition Using PCA on Wavelet Subband -
Posted By: seminar class
Created at: Friday 06th of May 2011 12:45:18 PM
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Abstract
Together with the growing interest in the development of human and computer interface and
biometric identification, human face recognition has become an active research area since early
90. Nowadays, Principal Component Analysis (PCA) has been widely adopted as the most
promising face recognition algorithm. Yet still, PCA has its limitations: poor discriminatory power
and large computational load.
In view of these limitations, this paper proposed a new approach in using PCA - apply PCA on
wavelet subband. Traditionally, ....etc

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Title: face recognition by elastic bunch graph matching matlab code
Page Link: face recognition by elastic bunch graph matching matlab code -
Posted By:
Created at: Friday 14th of November 2014 11:21:19 PM
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I need matlab code for elastic bunch graph matching. I have 2 faces ,I should making their mesh and compare them.I think elastic bunch graph matching can help me with it. ....etc

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