Digital image stabilization - Computer Graphics Laboratory

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Software • Helicon focus • http://www.heliconsoft.com/animation/Krebs_fly1/ index.html • http://www.krebsmicro.com/ Tuesday, February 23, 2010
Focal stack & plenoptic cameraStanford Tech Report CTSR 2005-02 Light Field Photography with a Hand-Held Plenoptic Camera, Ren Ng, Marc Levoy, Mathieu Brédif, Gene Duval, Mark Horowitz, Pat Hanrahan • Capture light field • Refocus to create focal stack • Use photomontage to generate all-focus image Tuesday, February 23, 2010 (a) (b) (c) Stanford Tech Repor Figure 13: A complete light field captured by our prototype. Careful examination (zoom in on electronic version, or u 292 × 292 microlens images, each approximately 0.5 mm wide in print. Note the corner-to-corner clarity and detail field, which illustrates the quality of our microlens focusing. (a), (b) and (c) show magnified views of regions outlined o representative of three types of edges that can be found througout the image. (a) illustrates microlenses at depths closer th up microlens images, the woman’s cheek appears on the left, as it appears in the macroscopic image. In contrast, (b) ill (a) (b) (c) (d) than the focal plane. In these inverted microlens images, the man’s cheek appears on the right, opposite the macroscopic of the microlens’ rays as they pass through the world focal plane before arriving at the main lens. Finally, (c) illustrates m (the fingers that are clasped together). The microlenses at this depth are constant in color because all the rays arriving at point on the fingers, which reflect light diffusely. Figure 13: A complete light field captured by our prototype. Careful examination (zoom in on electronic version, or use magnifying glass in print) reveals 292 × 292 microlens images, each approximately 0.5 mm wide in print. Note the corner-to-corner clarity and detail of microlens images across the light field, which illustrates the quality of our microlens focusing. (a), (b) and (c) show magnified views of regions outlined on the key in (d). These close-ups are representative of three types of edges that can be found througout the image. (a) illustrates microlenses at depths closer than the focal plane. In these right-side up microlens images, the woman’s cheek appears on the left, as it appears in the macroscopic image. In contrast, (b) illustrates microlenses at depths further than the focal plane. In these inverted microlens images, the man’s cheek appears on the right, opposite the macroscopic world. This effect is due to inversion of the microlens’ rays as they pass through the world focal plane before arriving at the main lens. Finally, (c) illustrates microlenses on edges at the focal plane (the fingers that are clasped together). The microlenses at this depth are constant in color because all the rays arriving at the microlens originate from the same point on the fingers, which reflect light diffusely. Figure 14: Refocusing after a single exp is the photo that would have resulted fro 9 9 on the clasped fingers. The remaining at different depths: middle row is focus row is focused on third and last figures. C bottom right for full effective depth of fi Figure 14: Refocusing after a single exposure of the light field camera. Top is the photo that would have resulted from a conventional camera, focused on the clasped fingers. The remaining images are photographs refocused at different depths: middle row is focused on first and second figures; last row is focused on third and last figures. Compare especially middle left and bottom right for full effective depth of field.
Page 1 and 2: Tuesday, February 23, 2010 Image al
Page 3 and 4: DENOISING Tuesday, February 23, 201
Page 5 and 6: Single frame Tuesday, February 23,
Page 7 and 8: EXTENDED DEPTH of FIELD Tuesday, Fe
Page 9 and 10: Focal stack Tuesday, February 23, 2
Page 23: Macro montage • 55 images here Tu
Page 27 and 28: References • http://www.janrik.ne
Page 29 and 30: Interactive Digital Photomontage
Page 31 and 32: Family portrait challenge Tuesday,
Page 33 and 34: Family portrait challenge Tuesday,
Page 35 and 36: Digital photomontage Tuesday, Febru
Page 37 and 38: Tourist removal Tuesday, February 2
Page 43 and 44: Wire removal Tuesday, February 23,
Page 53 and 54: Image alignment goals ✦ Multiple-
Page 55 and 56: Approaches: model or not ✦ Model
Page 57 and 58: Brute force: dense & model-based
Page 59 and 60: Optical flow: dense, non-parametr.
Page 61 and 62: 1D brightness constancy ✦ Goal: E
Page 63 and 64: Same in 2D ✦ If It is the time de
Page 65 and 66: Aperture problem Tuesday, February
Page 73 and 74: Small motion problem ✦ The first
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Coarse-to-fine optical flow image H
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Coarse-to-fine optical flow image H
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Coarse-to-fine optical flow image J
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Coarse-to-fine optical flow image J
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Image alignment: translation Tuesda
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Other application: retiming ✦ Gen
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Good features to track ✦ Idea: so
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Condition for solvability Tuesday,
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Edge Tuesday, February 23, 2010 - l
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High textured region Tuesday, Febru
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Recap ✦ Brute force : dense, mode
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MODEL FITTING Tuesday, February 23,
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Fitting a model ✦ e.g. affine: x
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VIEWFINDER ALIGNMENT Tuesday, Febru
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Idea: 1D matches of gradient ✦ Co
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Application: denoising Pulli / View
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Video stabilization : 3 steps ✦ E
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Content-Preserving Warps ✦ Liu et
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Solving for warp ✦ Grid over imag
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Results Tuesday, February 23, 2010
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Video Tuesday, February 23, 2010
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Video matching ✦ Sand and Teller
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Match move ✦ For compositing with
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Live action ✦ Note orange balls t
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Miniature construction Tuesday, Feb
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5 degrees of freedom camera robot T
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RE- PHOTOGRAPHY Tuesday, February 2
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s found in Step 2 and estimates cam
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Bae et al. Tuesday, February 23, 20
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Video stabilization ✦ http://www.
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Tracking ✦ http://citeseerx.ist.p
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