CENS Image Feature Visualization Project
This project focuses on the extraction and visualization of feature sets from image data. It aims to facilitate image set research by allowing users to display features in a user-defined manner and verify the data extraction process. Significant milestones include the definition of histogram extractors, the establishment of a visualization framework, and the production of verification tools. We have made notable progress and plan to enhance the UI framework within four weeks and develop a generalized framework in five weeks. Thank you for your attention.
CENS Image Feature Visualization Project
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Presentation Transcript
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
