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Computer Vision REU Week 6. Adam Kavanaugh. This week in review. Worked toward narrowing down a research topic Read many papers in both 2004 and 2005 IEEE CVPR conference proceedings as well as others. Mostly stuck with papers in the areas of: Image retrieval (general and medical) Motion

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this week in review
This week in review
  • Worked toward narrowing down a research topic
  • Read many papers in both 2004 and 2005 IEEE CVPR conference proceedings as well as others.
  • Mostly stuck with papers in the areas of:
    • Image retrieval (general and medical)
    • Motion
    • Tracking
content based image retrieval
Content Based Image Retrieval
  • Basics of Image Retrieval
    • Extract features or distinctive information from a database and a query
    • Use a type of distance function to find the most similar matches
    • Improve query results by getting user feedback, or use a learning approach to limit user involvement
image retrieval papers
Image Retrieval Papers
  • Recurring Methods used:
    • Fuzzy C-Mean clustering
    • Earth Mover’s Distance
    • Support Vector Machines
  • Some Papers:
  • Hoi, S.C.H.; Lyu, M.R., "A semi-supervised active learning framework for image retrieval"
  • Grauman, K.; Darrell, T., "Efficient image matching with distributions of local invariant features"
  • Hertz, T.; Bar-Hillel, A.; Weinshall, D., "Learning distance functions for image retrieval"
image retrieval as a topic
Image Retrieval as a Topic
  • Working with Dr. Sugaya to perform retrieval of gene mapping MRI’s
  • Gene mapping in this context is disease association
motion and tracking
Motion and Tracking
  • Primary interest in motion and tracking falls into the category of Robotics Applications and/or previous work with optical flow.
  • Would like to see some kind of relevant application come out of the work on optical flow.
some topic ideas in motion
Some Topic Ideas in Motion
  • The presentations of the COCOA system and similar Aerial tracking applications are of interest.
  • Applying SIFT descriptors to give more accurate motion fields in Optical Flow.
  • Navigation and obstacle detection in motion
some more papers
Some More Papers
  • Optical Flow
    • Lei Yuan; Jinzong Li; Bing Zhu; Yulong Qiao, "A Discontinuity-preserving Optical Flow Algorithm"
    • Zhimin Fan; Ying Wu; Ming Yang, "Multiple collaborative kernel tracking"
  • Tracking
    • Greenspan, M.; Limin Shang; Jasiobedzki, P., "Efficient tracking with the Bounded Hough Transform"
    • Freedman, D.; Turek, M.W., "Illumination-invariant tracking via graph cuts"