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Informal Time Lapse Photography

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Informal Time Lapse Photography. Seth Cooper & T. Scott Saponas ... Handheld photographs taken on separate occasions (throughout a day, throughout a ... – PowerPoint PPT presentation

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Title: Informal Time Lapse Photography


1
Informal Time Lapse Photography
  • Seth Cooper T. Scott Saponas
  • CSE 576 Final Project Presentation

2
Problem Statement
  • Handheld photographs taken on separate occasions
    (throughout a day, throughout a year)
  • Pictures could easily be up to 50 misaligned
  • Not enough consistency between frames

3
Problem Statement Cont.
  • One subject moves from frame to frame
  • Want background aligned
  • Fading between images insufficient
  • Want to recreate continuous movement

4
Problem Statement Cont.
  • Subject Undergoes Continuous Change
  • Fading between images insufficient
  • Want to recreate continuous movement

5
Problem Statement Cont.
  • Historic Images
  • Taken with different cameras
  • Taken from different viewpoint

6
Informal Time Lapse Photography
  • Support someone taking images on multiple
    occasions of similar scene
  • Align images
  • Create pleasing in-between frames
  • Support taking multiple images of moving/changing
    subject
  • Create motion from discrete images using morphing

7
Approach - Alignment
  • Use SIFT binary to extract features from full
    resolution input images
  • Pairwise alignment of consecutive images using
    extracted features (ratio threshold)
  • Use RANSAC with two matching features
  • Apply 3D rotation motion model to pairs, then
    inliers

8
Approach - Morphing
  • Linear Blend
  • Triangle Based
  • Edge Based

9
Approach - Morphing
  • Linear Blend
  • Fine when subject is aligned
  • Not as good if not aligned, or things are moving

10
Approach - Morphing
  • Triangle Based Try 1
  • Auto detect features
  • Auto triangulate
  • Convert to pixel coords to barycentric coords
  • Blend feature points

11
Approach - Morphing
  • Triangle Based Try 1
  • Features good for matching not necessarily good
    for morphing
  • Too many interior features, not enough on edges
  • Flipping triangles artifact

12
Approach - Morphing
  • Triangle Based Try 2
  • Allow user to select important features (and
    optionally important edges)
  • Augment selection with vision techniques (snap to
    corner, feature match)
  • Rest is the same

13
Approach - Morphing
  • Triangle Based Try 2
  • Auto triangulation not great for morphing
  • Better, but flipping triangles still a problem

14
Approach - Morphing
  • Edge Based
  • Allow user to select important edges
  • Blend edges
  • Move pixels based on weights from nearby edges
    Beier and Neely

15
Approach - Morphing
  • Edge Based
  • Less artifacts
  • Less lines to cross but bad when they do

16
Approach - Morphing
  • Comparison

17
Artifacts
Quad at Sunset
Dancing Book
Clock at Sunrise
Melting Ice
Leaning Tower of Pisa Through 1900s
18
Conclusions
  • Our artifacts better?
  • Whats an interesting time lapse is subjective
  • Good alignment seems like a clear win
  • Morphing over blend better in many cases
  • Alignment
  • Robust same camera, similar viewpoint
  • Room for improvement Images through history
  • Morphing
  • Robust Semi-auto, points not passing through
    lines
  • Room for improvement More automatic morphing
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