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background subtractionsegmentation in opencv using gaussian mixtures


Posted by: maroom
Created at: Wednesday 01st of September 2010 01:01:58 PM
Last Edited Or Replied at :Wednesday 01st of September 2010 01:01:58 PM
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round subtraction in opencv using gaussian mixtures project ... i have surfed on net to know about it ... you all are helping in findind and doing semister projects succesfuully thanx to that nature. can any one tell me where can i get clear idea on my project and code helpers etc..

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



Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti


Posted by: hemanthsa
Created at: Monday 23rd of November 2009 10:40:57 PM
Last Edited Or Replied at :Tuesday 24th of November 2009 04:51:42 AM
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pls send me Re..................[:=> Show Contents <=:]



Object tracking in video scenes


Posted by: computer science crazy
Created at: Friday 23rd of October 2009 05:39:07 AM
Last Edited Or Replied at :Saturday 06th of October 2012 01:06:29 AM
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asure interimage displacements. Selection of a particular approach largely depends on the domain of the problem. The seminars takes a brief o..................[:=> Show Contents <=:]



Face Recognition Technology


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 11:04:34 PM
Last Edited Or Replied at :Friday 19th of February 2010 09:44:04 PM
face recognition by elastic bunch graph matching, face recognition based on image sets , face recognition brain, face recognition and schizophrenia , face recognition and gender, face recognition application , android face recognition example, opencv face recognition example , face recognition ebook, face recognition essay , face recognition example, face recognition engine , face recognition experiments, face recognition eigenfaces , face recognition eyes, face recognition emotion , face recognition advertising, face r , face recognition technology seminar report,
within a fraction of a second. A multi-scale algorithm is used to search for faces in low resolution. The system switches to a high-resolution search only after a head-like shape is detected.
2. Alignment - Once a face is detected, the system determines the head's position, size and pose. A face needs to be turned at least 35 degrees toward the camera for the system to register it.
3. Normalization -The image of the head is scaled and rotated so that it can be registered and mapped into an appropriate size and pose. Normalization is performed regardless of the head's location and distance..................[:=> Show Contents <=:]



BLOB


Posted by: computer science crazy
Created at: Thursday 13th of August 2009 06:40:33 AM
Last Edited Or Replied at :Thursday 12th of August 2010 11:36:21 AM
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BLOB. :..................[:=> Show Contents <=:]



MOTION SEGMENTATION AND MEANSHIFT ASSISTED CONTOUR REFINEMENT FOR AIRBORNE VIDEO


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 11:09:40 PM
Last Edited Or Replied at :Saturday 13th of June 2009 11:09:40 PM
motion segmentation matlab , motion segmentation opencv, motion segmentation and pose recognition with motion history gradients , motion segmentation and tracking, motion segmentation algorithm , motion segmentation and estimation, two view motion segmentation from linear programming relaxation , fast image motion segmentation for surveillance applications, motion segmentation fault , motion segmentation based, motion segmentation code , motion segmentation by subspace separation and model selection, motion segme , mean shift segmentation ppt, report on video motion interpolation , motion segmentation differential methods opencv code,
in algorithm 1.
Algorithm 1. The motion segmentation refinement using meanshift clustering.
As a result of the above stated procedure, the motion segmented objects gets much clear blob with more meaningful contours. Figure 4D shows a typical application of contour refinement. In the figure, a car is motion segmented to multiple parts including miss classified regions. A meanshift clustering augmented with the weighted votes from initial contour refines the final contour. Note that this algorithm does not demand that the mean shift technique perfectly segment the background and foregrou..................[:=> Show Contents <=:]



FACE RECOGNITION TECHNOLOGY A SEMINAR REPORT


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 10:46:16 PM
Last Edited Or Replied at :Monday 14th of January 2013 01:37:23 AM
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concentrate on facial components and/ or regions (such as lips, eyes etc). The appearance of the face can change considerably during speech and due to facial expressions. In particular the mouth is subjected to fundamental changes but is also very important source for discriminating faces. So an approach to personâ„¢s recognition is developed based on patio- temporal modeling of features extracted from talking face. Models are trained specific to a personâ„¢s speech articulate and the way that the person speaks. Person identification is performed by tracking mouth movements of t..................[:=> Show Contents <=:]



Face Recognition using the Techniques Base on Principal Component Analysis PCA


Posted by: Computer Science Clay
Created at: Saturday 28th of February 2009 11:15:52 PM
Last Edited Or Replied at :Saturday 28th of February 2009 11:15:52 PM
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view the developed idea used in the 2D-PCA method and its application on the FSS appr..................[:=> Show Contents <=:]



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