B. Maser
M.Sc. Computer Science Graduate,University of Pune &
M.Sc Student at
the University of Salzburg
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Links:
• WAVELAB
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https://orcid.org/0000-0002-1662-8324
NEW [October 2021] :
I am honored to be selected as a reviewer of IET Image Processing Journal.
NEW [July 2021] : IDENTIFYING THE ORIGIN OF FINGER VEIN SAMPLES USING TEXTURE DESCRIPTORS is accepted by ICSSA 2021, The 21st International Conference on Computational Science and its Applications , Cagliari, Italy.
New:
A new 3-D Reconstruction research project has started. (This project is Halted)
NEW [May 2021]: Using CNNs to Identify the Origin of Finger Vein Image is accepted by IEEE International Workshop on Biometrics and Forensics (IWBF) 2021 , Rome, Italy.
About me
I have concentrated on learning and researching Computer Vision and Machine Learning for the last five years, contributing to a few research projects. As a result, my colleagues and I published seven research papers. My research projects are as follow:
- Residual-based texture classification using classical Machine Learning.
- Classifying texture images based on their unique statistical properties of the image sample using Classical Machine Learning and Deep Learning approaches.
- Effect of media compression on texture classification.
I got good experience using modern machine learning methods, and classical computer vision approaches to solve challenging problems in computer vision. Also, I gained good confidence in using Python, Keras 2.X, Tensorflow 2, OpenCV-python, Scikit-learn, Scikit-image.
I am always open to work on a new research topic. If you know python and also familiar with computer vision please email me.
Affiliation:
M.Sc. student (Applied Image and Signal Processing), Department of Computer Science, University of Salzburg, Austria.
Education:
M.Sc. in Computer Science., University of Pune, India.
Bachelor of Engineering.
Research Interest:
Computer Vision, Applied Machine Learning, Deep Learning, Analysis of Satellite Images, 3D Reconstruction, Color Correction, Medical Imaging, Augmented Reality and Virtual Reality, Robotics, SLAM, Multimedia Security.