AR Developer & Researcher (Contract): 2017-Current
Augmented Expeditions
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Research, Deployment and QA engineer - AE Tree Demo App
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Part of team that released the new AR Demo for turning real life Historical Objects into an interactive AR Experience. This app was featured in Vuforia's latest Keynote address.
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Status: Under Development (LINK)
https://vuforia.com/case-studies/augmented-expeditions.html
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Lead Engineer - Viterbi Magazine Puzzle App (2017)
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AR video puzzle solving app for Images in Viterbi Magazine Published by Univeristy of Southern California
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Status: Released on Google PlayStore and Private Distribution on Apple iTunes Store (App LINK)
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Research Assistant - VGL AIT (2014-15)
Gender Detection Video Analytic (OpenCV/C++)
After my undergraduate studies, I was hired by my then advisor to work as a research associate in his computer vision research lab. I was assigned the project to develop a gender analytic for commercial and open-source VMS (Video Management System).
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Approach: Face Detection -> Feature Extraction -> Gender training based on extracted features. Though there are many ways to differentiate between the genders (gait, ratio of torso to legs, Body structure-> girth of hips), the body part with the most significant differences between the genders, is the face -> plus its easily seen in a surveillance video
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Method: HAAR based face detection using the AT&T Face DB -> PCA for feature extraction -> SVM trained gender classifier based on eigenvalues.
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Platform/Libraries: OpenCV, Eclipse IDE for C++
