Yosun Chang
ABSTRACT
We summarize several methods we have used to create software and processes for automated methods for content creation for augmented reality, virtual reality, and other 3D medium uses and beyond. We utilize processes involving, machine learning semantic segmentation, computer vision geometry recognition for automated texture mapping, photogrammetry 3D reconstruction from 2D images and videogrammetry video content, and more. A practical use in industry is an emphasis for each software example, and many are associated with awards.
- Yosun Chang. 2014. Photo of Gerard Sans.Google Scholar
- Yosun Chang. 2018a. faced.io Digitizer. Retrieved January 12, 2019 from http://d.faced.ioGoogle Scholar
- Yosun Chang. 2018b. faceStylr. DevPost for TechCrunch Disrupt SF Hackathon (Aug. 2018). https://devpost.com/software/facestylrGoogle Scholar
- Yosun Chang. 2018c. PlayGAMI. App Store and Play Store (Aug. 2018). http://get.PlayGAMI.comGoogle Scholar
- Yosun Chang. 2018d. Project Sur. Retrieved January 12, 2019 from http://sur.faced.ioGoogle Scholar
- Yosun Chang and Zenka (Jenny Carden). 2018. Magic Remotes. Retrieved January 12, 2019 from http://magicremotes.orgGoogle Scholar
- Yosun Chang and Zack Hargett. 2018. Unshave. Retrieved November 12, 2018 from http://unshave.comGoogle Scholar
- Yosun Chang and Jackie McGuire. 2018. faceStylr Grand Prize at TechCrunch Disrupt SF Hackathon. TechCrunch Disrupt (Sept. 2018). https://www.youtube.com/watch?v=xmPkCGXw3v0Google Scholar
Index Terms
sur.faced.io: augmented reality content creation for your face and beyond by drawing on paper
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