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Computer Vision REU Week 6

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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Computer Vision REU Week 6

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  1. Computer Vision REUWeek 6 Adam Kavanaugh

  2. 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

  3. 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

  4. 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"

  5. 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

  6. 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.

  7. 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

  8. 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"

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