Towards corner matching for image reconstruction

PDF Version Also Available for Download.

Description

A common problem in so-called multi-source visualization data analysis and visualization is the identification of certain common features in two-dimensional (2D) images and their counterparts in three-dimensions (3D). We discuss methods to define and effectively extract features, e.g., corners or edges, from 2D images and 3D models. Work toward this goal is described and lessons learned discussed.

Physical Description

574 Kilobytes pages

Creation Information

Uselton, S. P.; Jancun-Kelly, T. J.; Hamann, B. & Joy, K. I. June 14, 1999.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Sponsor

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Description

A common problem in so-called multi-source visualization data analysis and visualization is the identification of certain common features in two-dimensional (2D) images and their counterparts in three-dimensions (3D). We discuss methods to define and effectively extract features, e.g., corners or edges, from 2D images and 3D models. Work toward this goal is described and lessons learned discussed.

Physical Description

574 Kilobytes pages

Source

  • IEEE Visualization '99, San Francisco, CA (US), 10/26/1999--10/30/1999

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

  • Report No.: UCRL-JC-134499
  • Report No.: DP0101031
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 14918
  • Archival Resource Key: ark:/67531/metadc621979

Collections

This article is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • June 14, 1999

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

Description Last Updated

  • Feb. 23, 2016, 12:45 p.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 3

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Uselton, S. P.; Jancun-Kelly, T. J.; Hamann, B. & Joy, K. I. Towards corner matching for image reconstruction, article, June 14, 1999; California. (digital.library.unt.edu/ark:/67531/metadc621979/: accessed October 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.