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Photosynth by Microsoft Live Labs

Photosynth by Microsoft Live Labs. C@CM Presentation Team Members Greg Yoon Saki Koizumi Mike Penrod Hui Han Chin Soojin Yoon. Introduction. Photosynth is an entirely new visual medium developed by Microsoft Live Labs. Introduction.

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Photosynth by Microsoft Live Labs

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  1. Photosynthby Microsoft Live Labs C@CM Presentation Team Members Greg Yoon Saki Koizumi Mike Penrod Hui Han Chin Soojin Yoon

  2. Introduction • Photosynth is an entirely new visual medium developed by Microsoft Live Labs.

  3. Introduction • It analyzes a set of photos of a place to discover similarities between the photos and uses that data to estimate where a photo was taken and build a model of the subject.

  4. Introduction • It then re-creates the environment and uses that as a canvas on which to display the photos. 

  5. History of Photosynth • 2006: Microsoft acquired small, Seattle-area startup Seadragon

  6. History of Photosynth • Seadragon’swascapable of delivering a smooth experience browsing massivequantities of visual information over the Internet

  7. History of Photosynth • 2006: Groundbreaking research of Noah Snavely (UW), Steve Seitz (UW), and Richard Szeliski (Microsoft Research), developed a prototype called ‘photo tourism’, which form the basis of the synther in photosynth

  8. History of Photosynth

  9. History of Photosynth • November 9, 2006 : Microsoft released a free tech preview version • August 6-20, 2007 : Microsoft teamed up with NASA on allowing users to preview its Photosynth technology showing the Space Shuttle Endeavour.

  10. History of Photosynth • August 20, 2008, Microsoft officially released Photosynth to the public, allowing users to upload their images and generate their own Photosynth models.

  11. Key Technology • Feature Tracking • 3D Transformation • Geo Registration

  12. How do humans compare?

  13. Feature Tracking • Algorithm of Choice: • Scale-space Invariant Feature Transform by David G Lowe, (2000) • Most stable to affine transformation • Uses Difference of Gaussians to find extrema across scale spaces as interest points

  14. Feature Tracking

  15. Feature Tracking • Discover correspondence between pictures

  16. 3D Transformation • Uses the Direct Linear Transformation Algorithm, Richard Hartley and Andrew Zisserman (2000)

  17. Find the matrix H that describe the perspective transformation

  18. 3D Transformation – Scary math

  19. Geo Registration • Aligns the estimated position of the pictures with a GPS map of the location

  20. Capabilities of photosynth • Walk or fly through a scene to see photos from any angle • Zoom in or out of a photo • See where pictures were taken in relation to one another • Smoothly change viewing angle between nearby photos • Smoothly zoom in and out of high-resolution photos • Find similar photos to the one you're currently viewing • Send pictures

  21. Demonstration • http://photosynth.net/Default.aspx

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