~/talk

4 Keys to Augmented Reality’s Future

Talkat AWE USA 2017 · 2017-05-31..06-02· [webxr]
links:none on file
slides:none on file

Argues that AR’s blockers are not concept but execution, calling out four gaps: content, fragmentation, power, and computer vision. Presents machine‑vision solutions: city‑scale geo data with ~1 m accuracy and ~10 s response, room‑scale surface and object localization targeting ~1 mm and ~10 ms, and 3D free‑hand tracking with millimeter accuracy and 20 ms latency. Shows a demo running hand and head tracking on a single camera module and on-device DSP/ARM compute to cut power.

AI-written summary · about

  1. 0:00Introduction to AR future
  2. 3:30User expectations for AR
  3. 7:07Technical challenges in AR
  4. 10:44World sensing and tracking solutions
  5. 13:18Hand tracking and interaction demos
  6. 16:35Role of computer vision in AR
  7. 17:19Summary of four key factors
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