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This project focuses on extracting feature sets from image data, aiding image set research, and displaying features in a user-defined manner for data verification. Key tools include histogram extractors, a visualization framework, and production verification tools. Milestones include UI framework development and general framework enhancement within specified timeframes.
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CENS Image Feature Visualization Project Checkpoint Slides Michael Wilson Faculty Advisor: Deborah Estrin Graduate Student Advisor: Josh Hyman
Overview • Extract feature sets from image data • Facilitate image set research • Display image sets with extracted features in user-defined manner • Verify feature set extraction data
Progress • Histogram Extractors defined • Visualization framework established • Verification tools in production
Screenshots Verbose Histogram – well-formed XML
Screenshots Condensed Histogram – twice as many data points
Milestones • Further UI framework – 4 weeks • Generalized Framework – 5 weeks