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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.

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Presentation on theme: "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."— Presentation transcript:

1 Computer Vision REU Week 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)Image retrieval (general and medical) MotionMotion TrackingTracking

3 Content Based Image Retrieval  Basics of Image Retrieval Extract features or distinctive information from a database and a queryExtract features or distinctive information from a database and a query Use a type of distance function to find the most similar matchesUse 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 involvementImprove 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 clusteringFuzzy C-Mean clustering Earth Mover’s DistanceEarth Mover’s Distance Support Vector MachinesSupport 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"Lei Yuan; Jinzong Li; Bing Zhu; Yulong Qiao, "A Discontinuity-preserving Optical Flow Algorithm" Zhimin Fan; Ying Wu; Ming Yang, "Multiple collaborative kernel tracking"Zhimin Fan; Ying Wu; Ming Yang, "Multiple collaborative kernel tracking"  Tracking Greenspan, M.; Limin Shang; Jasiobedzki, P., "Efficient tracking with the Bounded Hough Transform"Greenspan, M.; Limin Shang; Jasiobedzki, P., "Efficient tracking with the Bounded Hough Transform" Freedman, D.; Turek, M.W., "Illumination- invariant tracking via graph cuts"Freedman, D.; Turek, M.W., "Illumination- invariant tracking via graph cuts"


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