Digital image stabilization - Computer Graphics Laboratory

More documents

Recommendations

Info

Problem statement ✦ Motion from <strong>image</strong> H to <strong>image</strong> I ✦ Given pixel in H, find nearby pixel in I with same color ✦ Assumptions: Tuesday, February 23, 2010 • small motion • color (or brightness) constancy
1D brightness constancy ✦ Goal: Estimate motion by observing a single pixel just look at brightness variation between H(p) and I(p) ✦ Solution: use first-order model Tuesday, February 23, 2010 H ∆p pixel p I
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 and 24: 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: Optical flow: dense, non-parametr.
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 and 76: Coarse-to-fine optical flow image H
Page 77 and 78: 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
Page 127 and 128:
RE- PHOTOGRAPHY Tuesday, February 2
Page 129 and 130:
s found in Step 2 and estimates cam
Page 131 and 132:
Bae et al. Tuesday, February 23, 20
Page 133 and 134:
Video stabilization ✦ http://www.
Page 135 and 136:
Tracking ✦ http://citeseerx.ist.p
show all

Digital image stabilization - Computer Graphics Laboratory

Create successful ePaper yourself

Delete template?

Save as template?