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Jennifer Gillenwater
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Content by Jennifer Gillenwater
Other authors' collections containing modules by Jennifer Gillenwater
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NIR Single Pixel Camera
(col10525)
Authors:
J. Ryan Stinnett
,
Jennifer Gillenwater
Keywords:
compressed, compressive, sensing, imaging, nir
Summary:
Describes our work on building an NIR single pixel camera for our senior design project.
Subject:
Science and Technology
Language:
English
Popularity:
21.25%
Revised:
2008-04-29
Revisions:
New
Advantages of the Chosen Algorithms and Future Improvements
(m14215)
Authors:
Jennifer Gillenwater
,
J. Ryan Stinnett
,
Elica Skorcheva
Keywords:
site insertion
Summary:
This module addresses several possibilities for the extension and optimization of basic image registration and interpolation algorithms.
Subject:
Science and Technology
Language:
English
Popularity:
62.04%
Revised:
2006-12-21
Revisions:
2
Bose-Lertrattanapanich Pixel Interpolation
(m14214)
Authors:
Jennifer Gillenwater
,
J. Ryan Stinnett
,
Elica Skorcheva
Keywords:
Bose
,
Delaunay
,
image
,
interpolation
,
Lertrattanapanich
Summary:
One method for interpolating the pixel values of several low-resolution (LR) images to create a single high-resolution (HR) image is to approximate the patches of a Delaunay triangulation with bivariate polynomials.
Subject:
Science and Technology
Language:
English
Popularity:
51.28%
Revised:
2006-12-21
Revisions:
2
Compressive Imaging
(m16125)
Authors:
J. Ryan Stinnett
,
Jennifer Gillenwater
Keywords:
compressed
,
compressive
,
sensing
Summary:
An introduction to the principles of compressive imaging, based on a comparison to conventional digital cameras
Subject:
Science and Technology
Language:
English
Popularity:
71.18%
Revised:
2008-04-29
Revisions:
New
Contributing Authors and References
(m14229)
Authors:
Jennifer Gillenwater
,
J. Ryan Stinnett
,
Elica Skorcheva
Keywords:
authors
,
references
,
works cited
Summary:
Information on the group members involved in this project and references used.
Subject:
Science and Technology
Language:
English
Popularity:
36.59%
Revised:
2006-12-21
Revisions:
2
Delaunay Triangulation for Image Processing
(m14211)
Authors:
Jennifer Gillenwater
,
J. Ryan Stinnett
,
Elica Skorcheva
Keywords:
Delaunay
,
image
,
interpolation
,
triangulation
Summary:
Triangulation is a tool that divide a surface into regions with certain common characteristics. The type of these characteristics depends on the type of triangulation. Delaunay triangulation can divide a surface into regions that are particularly well-suited for image processing applicaions.
Subject:
Science and Technology
Language:
English
Popularity:
79.89%
Revised:
2006-12-21
Revisions:
2
DMD Development Kit Setup and Issues
(m16127)
Authors:
J. Ryan Stinnett
,
Jennifer Gillenwater
Keywords:
compressed
,
compressive
,
imaging
,
lab
Subject:
Science and Technology
Language:
English
Popularity:
47.81%
Revised:
2008-04-29
Revisions:
New
Image Registration using Projective Flow
(m14209)
Authors:
J. Ryan Stinnett
,
Jennifer Gillenwater
,
Elica Skorcheva
Keywords:
flow
,
image
,
projective
,
registration
Summary:
Gives the highlights of the projective flow algorithm we used for image registration.
Subject:
Science and Technology
Language:
English
Popularity:
60.98%
Revised:
2006-12-21
Revisions:
2
Introduction to Optical Flow
(m14208)
Authors:
J. Ryan Stinnett
,
Jennifer Gillenwater
,
Elica Skorcheva
Keywords:
flow
,
optical
Summary:
A short introduction to optical flow, with a slant towards how it pertains to the projective flow image registration algorithm we used.
Subject:
Science and Technology
Language:
English
Popularity:
76.13%
Revised:
2006-12-22
Revisions:
2
Overview of Image Superresolution
(m14210)
Authors:
Elica Skorcheva
,
Jennifer Gillenwater
,
J. Ryan Stinnett
Keywords:
interpolation
,
registration
,
superresolution
,
triangulation
Summary:
Image superresolution uses information from several low-resolution images in order to compose one high-resolution image. This way the quality of images taken from low-cost cameras could be greatly improved.
Subject:
Science and Technology
Language:
English
Popularity:
67.20%
Revised:
2006-12-22
Revisions:
2
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