Face Recognition, Final Day topic at MATLAB Workshop

Face Recognition, Final Day topic at MATLAB Workshop

The final day of CSI-MLSU-MATLAB workshop at the Vigyan Bhawan, MLSU, was devoted to Face Recognition on Digital Images.

The Chief Guest at the Valedictory function was Professor I.V. Trivedi, Vice Chancellor, Mohanlal Sukhadia University, who in his speech, stressed upon the regularity of such events so as to update the participants on the latest in technology and related products and services.

 
Face Recognition, Final Day topic at MATLAB Workshop

The final day of CSI-MLSU-MATLAB workshop at the Vigyan Bhawan, MLSU, was devoted to Face Recognition on Digital Images.

The Chief Guest at the Valedictory function was Professor I.V. Trivedi, Vice Chancellor, Mohanlal Sukhadia University, who in his speech, stressed upon the regularity of such events so as to update the participants on the latest in technology and related products and services.

In the valedictory session, Dr Azimuddin Khan appreciated the activities that took place over the last six days, where participants including faculty members, researchers, scientists and industry executives got together to learn about the MATLAB software and its uses in the improvement of research qualities.

Earlier during the day, the opening lecture was delivered by Dr. Rashmi Agrawal of MLSU, where she explained the various functions of face recognition using MATLAB.

Face recognition, which has become a popular area of research in computer vision and one of the most successful applications of image analysis, is, in simpler words, the process of identifying or verifying one or more persons in the scene using a stored database of faces of still or video images

The second session, taken by Dr. Manju Mandot, Assistant Professor, JRN, Rajasthan Vidhyapeeth, Udaipur, was on Image Compression. Image compression is used to minimize the amount of memory needed to represent an image.

Various techniques of image compression, such as pixel coding, predictive coding, and transform coding are used to compress images so as to transfer them smoothly over different digital data transfer media as well as to store them within minimal storage.

She explained how, using MATLAB, digital images can be compressed to JPEG format by Converting the base image to 8×8 matrices, DCT transform and quantizing, Zig-Zag Encoding of Quantized Matrices, Conversion of Quantized Vectors into the JPEG defined bitstream, and Construction of the JPEG File header as well as writing the File.

A quiz session, before the completion of the days event, was organized for the participants and was won by Mr. Sardar Singh Rao of College of Science, MLSU, Udaipur

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