Monday, March 12, 2018

[talk] Trend in Seattle 2018 - 증강현실을 중심으로 (i.e., “Focused on Augmented Reality) by 여일님 (Il "Will"​ Yeo)


Subject
Trend in Seattle 2018 - 증강현실을 중심으로 (i.e., “Focused on Augmented Reality)
Place
Startup Alliance 7F
Time
March 12, 2018 (Mon) 12:00~13:20
Speaker
Host
Startup Alliance
Focus
augmented reality (or mixed reality)
  1. Lesson
    1. Lecturer
      1. personal: Created API at Microsoft for sharing since 2010
      2. In Silicon Valley, K Group; in Seattle, 창발
    2. AR
      1. AR in stories
        1. Technology in Dragon Ball’s scouter: object recognition (e.g., human recognition from where to where), tracking (the object), texts overlay
        2. Iron man’s mask: displays missile origin and health system status on screen
      2. AR research status among big companies
        1. Google: Tango
          1. Application example: Kyle Nel’s presentation on Lowe
          2. Visual positioning system: “Google says VPS makes use of machine learning, computer vision and mapping coordinates…” (source: Mashable)
        2. Facebook: AR Studio
          1. Application example: AR Studio
          2. Technology: Camera effect platform: selfie video app
          3. C.f., Oculus
        3. Apple: ARKit
          1. Application example: IKEA Place
            1. ARKit: light estimation reflecting real light to objects to make the virtual object real
          2. Technology
            1. (horizontal) Surface recognition
            2. Tracking: smooth
            3. Light estimation: how much light needs to be reflected
        4. Google: ARCore
          1. Technology
            1. Surface recognition
            2. Response to real-life event
        5. Microsoft: Hololens
          1. Application example
            1. Education: Case Western University
              1. 3,000 USD per Hololens device usage compared to xx,xxx USD for dead body isn’t too expensive for med school students
            2. Industry: Thyssenkrupp’s stairwell
          2. Technology
            1. Tracking surrounding environment unlike Google Glass (projecting image just like any computer monitor)
            2. Hardware: Optical camera 4, many sensors, RGB, HPU (holographic processing unit)
          3. C.f.,
            1. Privacy issue: due to 3D point alignment, when uploading an object,
            2. Safety issue: obstructing wall example
        6. Other: smart glasses from Intel and Magic Leap

  1. My Takeaway
    1. AR application point: use of visual recognition or visual positioning system
    2. Voice related technology will be needed to augment input on AR devices like Microsoft Hololens
    3. For object recognition, machine learning technology is needed 

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