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Generalized Autofocus for All-in-Focus Imaging

Explore the benefits of a generalized autofocus approach for creating all-in-focus images at different distances, focusing on minimizing required images for efficient capture. Our method improves speed, sensitivity to motion, and resource usage. Utilized in Nokia N900 smartphone and Frankencamera. Presented by Daniel Vaquero. More details at cs.ucsb.edu/~daniel.ilab.cs.ucsb.edu

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Generalized Autofocus for All-in-Focus Imaging

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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

  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: 8:30-10:00 p.m. Poster Session II-2 (Keauhou 1)

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