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Sketch2Photo: Internet Image Montage

  1. Tao Chen  |  no link available
  2. Ming-Ming Chen  |  cg.cs.tsinghua.edu.cn:8080/cmm
  3. Ping Tan  |  www.ece.nus.edu.sg/stfpage/eletp
  4. Ariel Shamir  |  www.faculty.idc.ac.il/arik/site/index.asp
  5. Shi-Min Hu  |  cg.cs.tsinghua.edu.cn/prof_hu.htm
  6. Tsinghua University  |  www.tsinghua.edu.cn/qhdwzy/index.jsp
  7. National University of Singapore  |  www.nus.edu.sg
  8. The Interdisciplinary Center  |  portal.idc.ac.il/he
  9. Tsinghua University  |  www.tsinghua.edu.cn/qhdwzy/index.jsp
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​Abstract

​We present a system that composes a realistic picture from a simple freehand sketch annotated with text labels. The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet. Although online image search generates many inappropriate results, our system is able to automatically select suitable photographs to generate a high quality composition, using a filtering scheme to exclude undesirable images. We also provide a novel image blending algorithm to allow seamless image composition. Each blending result is given a numeric score, allowing us to find an optimal combination of discovered images. Experimental results show the method is very successful; we also evaluate our system using the results from two user studies. 

Press

The Telegraph
telegraph.co.uk/technology/news/6265876/PhotoSketch-picture-software-wins-plaudits.html | Archive (pdf)

Der Spiegel
spiegel.de/netzwelt/gadgets/0,1518,653734,00.html | Archive (pdf) | Translated (pdf)
​
Net Explorateur
netexplorateur.org/?q=en/top-10 ("10 most promising digital initiatives in 2010") ​(defunct)

Downloads

Original Screenshot
File Size: 576 kb
File Type: jpg
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Paper
File Size: 5974 kb
File Type: pdf
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Supplementary Material
File Size: 9434 kb
File Type: pdf
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User Study
File Size: 24031 kb
File Type: pdf
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Power Point Presentation
File Size: 6800 kb
File Type: pdf
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Video
File Size: 29501 kb
File Type: mp4
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System Pipeline

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Online Video

User information posted to YouTube:
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Pertinent comments from YouTube page:
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Results

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This information was found here:
www.cs.sfu.ca/~pingtan/Projects/Sketch2Photo/index.htm

See Also:
Extracting 3D Objects from Photographs Using 3-Sweep (pdf)

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