Star Matching from Images - PowerPoint PPT Presentation

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Star Matching from Images

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Pictures are free with large bright objects (e.g., moon) ... tuple and matching is done at the tuple space. Star Matching / Wei-Chao Chen. 7. 11/18/09 ... – PowerPoint PPT presentation

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Title: Star Matching from Images


1
Star Matching from Images
  • Computer Vision Final Project
  • by Wei-Chao Chen

2
Problem Statement
  • Goal
  • Take pictures in the night sky.
  • Match the pictures with star catalog.
  • Condition Requirements
  • Camera parameter are unknown a priori.
  • Pictures are free with large bright objects
    (e.g., moon).
  • Stars in each pictures are related by linear
    translation.

3
Sample Picture
4
Difficulty in the Problem
  • Too many free variables..
  • Camera parameters, time, location, orientation
    when taking the picture.
  • Matching can be ambiguous..
  • Except for relative brightness and color, stars
    have no other salient features.
  • Sensitive to noise..
  • Bad pixels can be regarded as stars.

5
A Solution
  • Match by looking at similar triangles between two
    images.
  • Each image with N stars generates C(N, 3)
    triangles.
  • Each star can have up to N(N-1)/2 matches.
  • The stars pair with higher vote of matches are
    considered as matches.

6
A Solution
4
2
a1
1
T1(a1, b1, c1) gt(a1/c1, b1/c1)
3
b1
c1
1
3
4
2
The aspect ratio of each triangle forms a
2D tuple and matching is done at the tuple space.
7
Results
  • Implementation
  • ANSI C/C
  • Steps
  • Star Detection-Matching-Output
  • Running Speed
  • Generally below 5 seconds on PII PCs (including
    Disk I/O)

8
Results - Star Detection
One Input Image
Detected Stars
9
Results - RotationTranslation
Red Image 1 Green Image 2 Yellow Match
10
RotateTrans.ScalingClipping
Red Image 1 Green Image 2 Yellow Match
Overlapped Region
11
Rigid Trans. Small Noise
Red Image 1 Green Image 2 Yellow Match
Noise
Noise
12
Algorithm Problems
Speckles on image 2 results in algorithm instabili
ty.
Red Image 1 Green Image 2 Yellow Match
13
Algorithm Problems
Radial Distortion caused the algorithm to break.
Red Image 1 Green Image 2 Yellow Match
14
References
  • Valdes et al., FOCAS Automatic Catalog Matching
    Algorithms, in Publications of Astronomical
    Society of the Pacific, 1995 November.
  • Griesen et al., Representation of World
    Coordinates in FITS, www.cv.nrao.edu/fits/documen
    ts/wcs/wcs.html
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