Digital image stabilization - Computer Graphics Laboratory

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Coarse-to-fine optical flow image H u=1.25 pixels u=2.5 pixels u=5 pixels u=10 pixels image I Gaussian pyramid of image H Gaussian pyramid of image I Tuesday, February 23, 2010
Coarse-to-fine optical flow image H image I Gaussian pyramid of image H Gaussian pyramid of image I Tuesday, February 23, 2010
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Tuesday, February 23, 2010 Image al
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DENOISING Tuesday, February 23, 201
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Single frame Tuesday, February 23,
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EXTENDED DEPTH of FIELD Tuesday, Fe
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Focal stack Tuesday, February 23, 2
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Macro montage • 55 images here Tu
Page 25 and 26: Focal stack & plenoptic cameraStanf
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
Page 75: Coarse-to-fine optical flow image H
Page 79 and 80: Coarse-to-fine optical flow image J
Page 81 and 82: Coarse-to-fine optical flow image J
Page 83 and 84: Image alignment: translation Tuesda
Page 85 and 86: Other application: retiming ✦ Gen
Page 87 and 88: Good features to track ✦ Idea: so
Page 89 and 90: Condition for solvability Tuesday,
Page 91 and 92: Edge Tuesday, February 23, 2010 - l
Page 93 and 94: High textured region Tuesday, Febru
Page 95 and 96: Recap ✦ Brute force : dense, mode
Page 97 and 98: MODEL FITTING Tuesday, February 23,
Page 99 and 100: Fitting a model ✦ e.g. affine: x
Page 101 and 102: VIEWFINDER ALIGNMENT Tuesday, Febru
Page 103 and 104: Idea: 1D matches of gradient ✦ Co
Page 105 and 106: Application: denoising Pulli / View
Page 107 and 108: Video stabilization : 3 steps ✦ E
Page 109 and 110: Content-Preserving Warps ✦ Liu et
Page 111 and 112: Solving for warp ✦ Grid over imag
Page 113 and 114: Results Tuesday, February 23, 2010
Page 115 and 116: Video Tuesday, February 23, 2010
Page 117 and 118: Video matching ✦ Sand and Teller
Page 119 and 120: Match move ✦ For compositing with
Page 121 and 122: Live action ✦ Note orange balls t
Page 123 and 124: Miniature construction Tuesday, Feb
Page 125 and 126: 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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