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Neural Network-Based Face Detection


Posted by: electronics seminars
Created at: Tuesday 12th of January 2010 08:26:38 PM
Last Edited Or Replied at :Thursday 19th of January 2012 10:33:19 PM
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e 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 progresses. This eliminates the difficult task of manually selecting non face training examples, which must be chosen to span the entire space of non face ..................[:=> Show Contents <=:]



face recognition technology seminar report


Posted by: applied electronics
Created at: Tuesday 29th of December 2009 04:02:48 AM
Last Edited Or Replied at :Monday 14th of January 2013 01:37:06 AM
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pare scans to records stored in a central or local database or even on a smart card.


What are biometrics?
A biometric is a unique, measurable characteristic of a human being that can be used to automatically recognize an individual or verify an individualâ„¢s identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from direct measurement of a part of the human body) include:

¢ Finger-scan
¢ Facial Recognition
¢ Iris-scan
¢ Retina-scan
¢ Hand-scan

Behavio..................[:=> Show Contents <=:]



3D Face Recognition


Posted by: electronics seminars
Created at: Monday 30th of November 2009 03:38:04 AM
Last Edited Or Replied at :Monday 03rd of January 2011 11:16:25 PM
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rom different views. 2.5D is a simplified 3D (x, y, z) surface representation that contains at most one depth value (z direction) for every point in the (x, y) plane. A robust similarity metric is defined for matching. To address the non-rigid facial movement, such as expressions, we present a facial surface modeling and matching scheme to match 2.5D test scans in the presence of both non-rigid deformations and large pose changes (multiview) to a neutral expression 3D face model. A geodesic-based resampling approach is applied to extract landmarks for modeling facial surface deformations. We a..................[:=> Show Contents <=:]



Gesture Recognition


Posted by: sandyBhardwaj
Created at: Monday 02nd of November 2009 02:12:14 AM
Last Edited Or Replied at :Thursday 05th of November 2009 03:14:23 AM
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i want report on gesture recognition.its urgent......................[:=> Show Contents <=:]



Artificial Neural Network Based Face Recognition System


Posted by: nit_cal
Created at: Thursday 29th of October 2009 03:33:58 AM
Last Edited Or Replied at :Monday 06th of February 2012 01:32:45 AM
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chment=226]
Abstract
Identify some unique feature in the face image of a person, and then extract that Feature and compare. The system Extract eye from the face image and the extracted Image is given to input layer of artificial neural network. After three levels of processing, this network will generate a string which will be compared to the string earlier stored in the database for that face image. If the generated string of the current image already exists in the database, then it can be concluded that the image data is already entered in the database. Hence the system will verify the id..................[:=> Show Contents <=:]



Neural Network-Based Face Detection


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:54:50 AM
Last Edited Or Replied at :Monday 13th of February 2012 03:00:10 AM
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ns into the training set as training progresses. This eliminates the difficult task of manually selecti..................[:=> Show Contents <=:]



FACE RECOGNITION USING NEURAL NETWORKS Download Seminar Report


Posted by: Computer Science Clay
Created at: Thursday 30th of July 2009 06:55:46 AM
Last Edited Or Replied at :Friday 01st of February 2013 09:58:46 AM
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convolutional neural network. The self-organizing map provides the quantization of image samples into a topological space where inputs that are nearby in the original space are also in the output space, thereby providing dimensionality reduction and invariance to minor changes in the image sample. All these features are implemented using MATLAB v 6.5. The convolutional neural network provides for the partial invariance to translational, rotation, scale, and deformation. Hence it is analyzed that by implementing face recognition in security systems, the business transaction via Internet can be ..................[:=> Show Contents <=:]



FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS


Posted by: Computer Science Clay
Created at: Sunday 01st of March 2009 02:04:09 AM
Last Edited Or Replied at :Monday 06th of February 2012 01:32:32 AM
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nt way from the conventional digital computers. The brain modeling techniques ope..................[:=> Show Contents <=:]



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