Computer Vision REUComputer Vision REUWeek 6Week 6

Adam KavanaughAdam Kavanaugh

This week in reviewThis week in review

Worked toward narrowing down a Worked toward narrowing down a research topicresearch topic

Read many papers in both 2004 and Read many papers in both 2004 and 2005 IEEE CVPR conference 2005 IEEE CVPR conference proceedings as well as others.proceedings as well as others.

Mostly stuck with papers in the areas Mostly stuck with papers in the areas of:of:• Image retrieval (general and medical)Image retrieval (general and medical)• MotionMotion• TrackingTracking

Content Based Image RetrievalContent Based Image Retrieval

Basics of Image RetrievalBasics of Image Retrieval• Extract features or distinctive Extract features or distinctive

information from a database and a information from a database and a queryquery

• Use a type of distance function to find Use a type of distance function to find the most similar matchesthe most similar matches

• Improve query results by getting user Improve query results by getting user feedback, or use a learning approach to feedback, or use a learning approach to limit user involvementlimit user involvement

Image Retrieval PapersImage Retrieval Papers

Recurring Methods used:Recurring Methods used:• Fuzzy C-Mean clusteringFuzzy C-Mean clustering• Earth Mover’s DistanceEarth Mover’s Distance• Support Vector MachinesSupport Vector Machines

Some Papers:Some Papers: Hoi, S.C.H.; Lyu, M.R., "A semi-supervised active learning

framework for image retrieval" Grauman, K.; Darrell, T., "Grauman, K.; Darrell, T., "Efficient image matching with Efficient image matching with

distributions of local invariant featuresdistributions of local invariant features" " Hertz, T.; Bar-Hillel, A.; Weinshall, D., "Hertz, T.; Bar-Hillel, A.; Weinshall, D., "Learning distance Learning distance

functions for image retrievalfunctions for image retrieval""

Image Retrieval as a TopicImage Retrieval as a Topic

Working with Dr. Sugaya to perform Working with Dr. Sugaya to perform retrieval of gene mapping MRI’sretrieval of gene mapping MRI’s

Gene mapping in this context is Gene mapping in this context is disease associationdisease association

Motion and TrackingMotion and Tracking

Primary interest in motion and Primary interest in motion and tracking falls into the category of tracking falls into the category of Robotics Applications and/or previous Robotics Applications and/or previous work with optical flow.work with optical flow.

Would like to see some kind of Would like to see some kind of relevant application come out of the relevant application come out of the work on optical flow.work on optical flow.

Some Topic Ideas in MotionSome Topic Ideas in Motion

The presentations of the COCOA The presentations of the COCOA system and similar Aerial tracking system and similar Aerial tracking applications are of interest.applications are of interest.

Applying SIFT descriptors to give Applying SIFT descriptors to give more accurate motion fields in more accurate motion fields in Optical Flow.Optical Flow.

Navigation and obstacle detection in Navigation and obstacle detection in motionmotion

Some More PapersSome More Papers

Optical FlowOptical Flow• Lei Yuan; Jinzong Li; Bing Zhu; Yulong Qiao, "Lei Yuan; Jinzong Li; Bing Zhu; Yulong Qiao, "A A

Discontinuity-preserving Optical Flow Discontinuity-preserving Optical Flow AlgorithmAlgorithm" "

• Zhimin Fan; Ying Wu; Ming Yang, "Zhimin Fan; Ying Wu; Ming Yang, "Multiple Multiple collaborative kernel trackingcollaborative kernel tracking""

TrackingTracking• Greenspan, M.; Limin Shang; Jasiobedzki, P., Greenspan, M.; Limin Shang; Jasiobedzki, P.,

""Efficient tracking with the Bounded Hough Efficient tracking with the Bounded Hough TransformTransform" "

• Freedman, D.; Turek, M.W., "Freedman, D.; Turek, M.W., "Illumination-Illumination-invariant tracking via graph cutsinvariant tracking via graph cuts" "