Mengyun Lv - Netflix | LinkedIn (original) (raw)

About

Experienced Senior Software Engineer with a demonstrated history of working in the…

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Experience & Education

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Courses

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EECS336

EECS325

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EECS317

EECS313

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EECS330

EECS339

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Projects

Apr 2014

JAVA Project. Designed an application to find the best course selections. JAVA was used to implement the back-end algorithm and JavaScript and HTML5 were used for the front-end to generate the course information and the calendar.

Mar 2014 - Jun 2014

Built a glasses-free 3D display system with dual-stacked LCDs, applying the dynamic parallax barrier.
Generated front pinhole images and rear rendering images using Matlab. Rendered front and rear image sets synchronically for dual-DVI output. Involved in disassembling, rebuilding the dual-stacked display hardware.
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Feb 2014 - Mar 2014

Database Project. Extended Perl, JavaScript and SQL queries to select specific federal election data from Oracle database and added corresponding markers in the map; collected crowdsourcing opinions from users.
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Jan 2014 - Mar 2014

Human Computer Interaction Project. Designed an app for NU residents in an iterative process, including prototyping, user testing, learnability and efficiency test, finally implemented the website with HTML5 and JavaScript.
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Sep 2013 - Dec 2013

Computer Vision Project. Used SIFT, SURF and Harris Corner features to accomplish automated image registration and merging, and finally get the panoramic image of the set of input images with MATLAB.
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Sep 2012 - May 2013

Overview: This project aimed to develop a self-adaptive system based on two cameras and NVIDIA 3D VISION, and users can type messages by simply pointing the virtual keyboard seen in the air with 3D glasses with OpenCV. Finally we were able to accomplish the click precision up to 98.6%.
➢Calculated the coordinate transformation relationship between 2D images and 3D space, established the system hardward structure
➢Built the model of HSV skin color detection, achieved the reconstruction…
Overview: This project aimed to develop a self-adaptive system based on two cameras and NVIDIA 3D VISION, and users can type messages by simply pointing the virtual keyboard seen in the air with 3D glasses with OpenCV. Finally we were able to accomplish the click precision up to 98.6%.
➢Calculated the coordinate transformation relationship between 2D images and 3D space, established the system hardward structure
➢Built the model of HSV skin color detection, achieved the reconstruction of fingertip 3D coordinates
➢Realized human eye recognition with OpenCV and theoretical calculation
➢Tested the system, created a ’cross’ calibration method, achieved high input speed and precision.
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UPDATE: Yohanes has been found. Unfortunately, he passed away. https://lnkd.in/gZ\_hkKB2 ———————————————————————- Hi network, I'm reaching out to…

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