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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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rithm, which adds false detections..................[:=> 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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l information into electrical information, the amplitude of which varies in accordance with variation of brightness.

An optical image of the scene to be transmitted is focused by lense assembly on the rectangular glass plate of the camera tube. The inner side of this has a transparent coating on which is laid a very thin layer of photoconductive material. The photolayer has very high resistance when no light is falling on it but decreases depending on the intensity of light falling on it. An electron beam is formed by an electron gun in the TV camera tube. This beam is used to pick up t..................[:=> 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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tch 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 are able to synthesize the deformation learned from a small group of subjects (control group) onto a 3D neutral model (not in the control group), resulting in a deformed template. A personspecific (3D) deformable model is built for each subject in the gallery w.r.t. the control group by combining the templates with synthesized deformations. By..................[:=> 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..................[:=> 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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ature 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 identity of an applicant by using neural networks..................[:=> 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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le 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 images. Simple heuristics, such as using the fact that faces rarely overlap in images, can further improve the accuracy. Comparisons with several other state-of-the-art face de..................[:=> 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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LAB v 6.5. The convolutional neural network provides for the partial invariance to translational, rotation, scale, and deformation. Hence it is analyzed ..................[:=> 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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uitable in many signal-processing applications like sound, image processing etc...................[:=> Show Contents <=:]



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