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Generalized Autofocus

Generalized Autofocus. Daniel Vaquero 1,2 , Natasha Gelfand 1 , Marius Tico 1 , Kari Pulli 1 , Matthew Turk 2 1 Nokia Research Center, Palo Alto 2 University of California, Santa Barbara Paper #5. All-in-Focus Imaging. Images focused at different distances (focal stack).

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Generalized Autofocus

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  1. Generalized Autofocus Daniel Vaquero1,2, Natasha Gelfand1, Marius Tico1, Kari Pulli1, Matthew Turk2 1Nokia Research Center, Palo Alto 2University of California, Santa Barbara Paper #5

  2. All-in-Focus Imaging Images focused at different distances (focal stack)

  3. What is our work about? • The capture process for focal stacks • For fusion, we use existing techniques, but we do it on-camera • Our scenario, typical in camera phones and low-end consumer cameras • Fixed lens aperture • Handheld camera • Limited memory and processing power

  4. Contrast-based Passive Autofocus Sharp!

  5. Our Method: Generalized Autofocus depth • Contribution: autofocus for focal stacks • Find the minimal set of required images to generate an all-in-focus composite • The choice of this set depends on the scene • Why is minimizing the number of images important? • Faster capture • Less sensitive to motion • Requires less memory and processing power

  6. Approach 1) Lens sweep from near focus to far focus • capture metering stack of low-resolution images 2) Analyze sharpness 3) Plane-sweep algorithm to determine the minimal set of required images, runs in linear time 4) Recapture minimal set in high resolution 5) Perform all-in-focus fusion • Implementation • Nokia N900 smartphone + Frankencamera + enblend

  7. Thank you! Daniel Vaquero www.cs.ucsb.edu/~daniel ilab.cs.ucsb.edu More details: Poster #5

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