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Feature #4466

Develop control point suppression techniques for very large networks

Added by Kris Becker about 1 year ago. Updated 12 months ago.

Status:
Closed
Priority:
High
Assignee:
Category:
Applications
Impact:

This is a new application. No impact on existing ISIS applications.

Software Version:
Test Reviewer:

Description

Using the findfeatures application can produce control networks that are very large. They may contain a very large number of control points/image-based control network with many image measures/point (depth).

These networks become difficult to processing due to their size and volume. An application (cnetsuppress) will be developed to reduce/suppress the number of control points in networks while computing the most efficient distribution of the best registered control points with an emphasis on maintaining point (measure) depth.

We intend to use the algorithm described in the paper titled EFFICIENTLY SELECTING SPATIALLY DISTRIBUTED KEYPOINTS FOR VISUAL TRACKING (http://www.cs.ucsb.edu/~holl/pubs/Gauglitz-2011-ICIP.pdf).

History

#1 Updated by Kris Becker about 1 year ago

  • Assignee set to Kris Becker

#2 Updated by Kris Becker about 1 year ago

  • Status changed from New to In Progress

#3 Updated by Kristin Berry about 1 year ago

  • Assignee changed from Kris Becker to Kristin Berry

Picking this up to get it checked in.

#4 Updated by Kristin Berry about 1 year ago

  • Status changed from In Progress to Resolved

#5 Updated by Kristin Berry 12 months ago

  • Impact updated (diff)

#7 Updated by Kris Becker 12 months ago

  • Status changed from Resolved to Closed

Thanks!

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