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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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Hai folks

Can anyone please provide the project -> background su..................[:=> Show Contents <=:]



Image Processing and Analysis


Posted by: electronics seminars
Created at: Sunday 13th of December 2009 05:46:07 AM
Last Edited Or Replied at :Sunday 13th of December 2009 05:46:07 AM
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o be the amount of white mixed in with the color. It is sometimes useful to convert from RGB color cube coordinates to HIS hexcone coordinates and vice-versa

The hue, saturation and intensity transform is useful in two ways: first as method of image enhancement and secondly as a means of combining co-registered images from different sources. The advantage of the HIS system is that it is a more precise representation of human color vision than the RGB system. This transformation has been quite useful for geological applications.
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Announcement


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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
image processing applications, image processing analysis and machine vision pdf , image processing analysis machine vision, image processing amazon , image processing android, image processing analysis and machine vision , image processing algorithms, image processing barbara , image processing branford ct, image processing background subtraction , image processing box filter, image processing by linear interpolation and extrapolation , image processing berkeley, image processing blur , image processing blob detect,
pls send me Report and ..................[:=> 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
object tracking algorithm , object tracking a survey, multiple 3d object tracking for augmented reality , opencv object tracking example, rfid personal object tracking device , multiple object tracking demo, object tracking definition , object tracking database, object tracking dataset , object tracking device, matlab object tracking code , enhanced object tracking cisco, multiple object tracking code , object tracking code, object tracking computer vision , object tracking cisco, object tracking camera , Object tracking, classes and methods , download code for tracking object from video, optical flow based object tracking , seminar object tracking video scenes, object tracking ,
in the process of tracking...................[:=> 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. : Blob is the abbreviation for binary large object, a collection of binary data stored as a s..................[:=> 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, wireless video camera ,
i In (3) This background can be used for all registered frames in the window N 1 I. I to . But the quality of object detection will vary as the registration anomalies will be more for the frames with less overlap. Another possibility is to repeat the frame stacking for each frame, creating its own background. But this will demand high processing power of N registrations for each frame. In our case, after the initial boot strapping, we update the background information instead of re computing it. Owing to this, there is no need to keep the stack of registered frames in memory. Let Thr be ..................[:=> 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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olment and verification rates.
c. It does not require an expert to interpret the comparison result.
d. It can use your existing hardware infrastructure, existing camaras and image capture Devices will work with no problems
e. It is the only biometric that allow you to perform passive identification in a one to.
Many environments (e.g.: identifying a terrorist in a busy Airport terminal 11

2. FACE RECOGNITION
THE FACE:
The face is an important part of who you are and how people identify you. Except in the case of identical twins, the face is arguably a person's most..................[:=> 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
Analysis , Component, Principal , Base, face recognition by independent component analysis , face recognition background, face recognition beta , face recognition by elastic bunch graph matching, face recognition basics , face recognition based, face recognition books , face recognition brain, face recognition baby , face recognition biometrics, android face recognition example , picasa face recognition exif, opencv face recognition example , face recognition expert, face recognition example , face recognition ebook, face re , ppt for face recognition using pca, face recognition using pca technique ,
en 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 method and its application on the FSS approach.

For the experimental results, several tests have been performed over on three face image databases: ORL, Yale, and UMIST;

The approaches will be illustrated using a web-based face recognition program. The architecture and techniques used in the development p..................[:=> Show Contents <=:]



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