fg-object-removal.blogspot.com

Foreground object removal

Thursday, March 4, 2010. Seam carving for content-aware image resizing. Uses the same technique James Davis uses, but for a different application. See the "Object removal" section (section 4.6) for another interesting application. I may play around with this to reduce the artifacts after removing people. Sunday, February 28, 2010. Preliminary pedestrian removal results. Currently, this is my pipeline to remove pedestrians:. Compute homographies between two views (I1 and I2) using SIFT and RANSAC. I've ch...

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Foreground object removal | fg-object-removal.blogspot.com Reviews

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Thursday, March 4, 2010. Seam carving for content-aware image resizing. Uses the same technique James Davis uses, but for a different application. See the Object removal section (section 4.6) for another interesting application. I may play around with this to reduce the artifacts after removing people. Sunday, February 28, 2010. Preliminary pedestrian removal results. Currently, this is my pipeline to remove pedestrians:. Compute homographies between two views (I1 and I2) using SIFT and RANSAC. I've ch...

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1 foreground object removal

2 interesting paper

3 posted by

4 arturo flores

5 no comments

6 some results

7 1 comment

8 pedestrian detection

9 a relevant paper

10 deghosting local registration

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Foreground object removal | fg-object-removal.blogspot.com Reviews

https://fg-object-removal.blogspot.com

Thursday, March 4, 2010. Seam carving for content-aware image resizing. Uses the same technique James Davis uses, but for a different application. See the "Object removal" section (section 4.6) for another interesting application. I may play around with this to reduce the artifacts after removing people. Sunday, February 28, 2010. Preliminary pedestrian removal results. Currently, this is my pipeline to remove pedestrians:. Compute homographies between two views (I1 and I2) using SIFT and RANSAC. I've ch...

INTERNAL PAGES

fg-object-removal.blogspot.com

1

Foreground object removal: How google does surface normals

http://fg-object-removal.blogspot.com/2010/02/how-google-does-surface-normals.html

Thursday, February 25, 2010. How google does surface normals. Apparently, google does use 3D laser point clouds to estimate surface normals (or building facades as they call them), see this quote from http:/ google-latlong.blogspot.com/2009/06/introducing-smart-navigation-in-street.html. We have been able to accomplish this by making a compact representation of the building facade and road geometry for all the Street View panoramas using laser point clouds and differences between consecutive pictures.

2

Foreground object removal: Preliminary pedestrian removal results

http://fg-object-removal.blogspot.com/2010/02/preliminary-pedestrian-removal-results.html

Sunday, February 28, 2010. Preliminary pedestrian removal results. Currently, this is my pipeline to remove pedestrians:. Compute homographies between two views (I1 and I2) using SIFT and RANSAC. Detect pedestrians on both views (with bounding boxes). Warp pedestrian bounding boxes using homography from step 1, determine overlap (if any). Use method proposed by James Davis. To obtain a dividing boundary in overlap region. March 3, 2010 at 9:17 PM. Subscribe to: Post Comments (Atom).

3

Foreground object removal: January 2010

http://fg-object-removal.blogspot.com/2010_01_01_archive.html

Wednesday, January 27, 2010. Odd results and some runtime errors. At this point, I am trying to debug the Josh Wills' motion segmentation code. After altering the code to use SIFT correspondences, I encountered a few bugs:. Attempted to access IndexSam(4997,:); index out of bounds because size(IndexSam)=[4996,4]. Error in = get warps at 56. From reading the code, it appears this function is using RANSAC to estimate the homography. I changed a hard-coded iters. Monday, January 25, 2010. The correspondence...

4

Foreground object removal: A relevant paper

http://fg-object-removal.blogspot.com/2010/02/relevant-paper.html

Thursday, February 18, 2010. Found a paper that may be useful: " Piecewise Planar City 3D Modeling from Street View Panoramic Sequences. The focus of this paper is 3D modeling, but they mention a multi-view stereo technique for dense depth estimation. This may make it possible to remove foreground objects based on histogram analysis of pixel depths (similar to the way foreground objects were removed in Dr. Zakhor's work. Which was the inspiration for this project). Subscribe to: Post Comments (Atom).

5

Foreground object removal: March 2010

http://fg-object-removal.blogspot.com/2010_03_01_archive.html

Thursday, March 4, 2010. Seam carving for content-aware image resizing. Uses the same technique James Davis uses, but for a different application. See the "Object removal" section (section 4.6) for another interesting application. I may play around with this to reduce the artifacts after removing people. Subscribe to: Posts (Atom). CSE 190a Spring 2010 bees counting project. Real Time Detection of Groceries. Dancer Identification within Shot Boundaries. Forgot to Mention Histograms.

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fg-object-removal.blogspot.com

Foreground object removal

Thursday, March 4, 2010. Seam carving for content-aware image resizing. Uses the same technique James Davis uses, but for a different application. See the "Object removal" section (section 4.6) for another interesting application. I may play around with this to reduce the artifacts after removing people. Sunday, February 28, 2010. Preliminary pedestrian removal results. Currently, this is my pipeline to remove pedestrians:. Compute homographies between two views (I1 and I2) using SIFT and RANSAC. I've ch...

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