Insight Journal - Interactive Correspondence Selection

Interactive Correspondence Selection

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3313

Published in The Insight Journal - 2011 July-December.

Submitted by David Doria on 08-26-2011.

This document presents a GUI application to manually select corresponding points in two data sets. The data sets can each be either an image or a point cloud. If both data sets are images, the functionality is equivalent to Matlab's 'cpselect' function. There are many uses of selecting correspondences. If both data sets are images, the correspondences can be used to compute the fundamental matrix, or to perform registration. If both data sets are point clouds, the correspondences can be used to compute a landmark transformation. If one data set is an image and the other is a point cloud, the camera matrix relating the two can be computed.

The source code for this publication has not been tested per author's request.

Reviews

Mr by Sanusi A.i on 2012-02-07 02:53:44 for revision #1

expertise: 4 sensitivity: 5

Summary:

The author has tried to solve the problem of selection of point correspondence in 2D and 3D images. This makes it easier for further processing such as image registration and landmark transformation.

Hypothesis:

The images are aligned.

Evidence:

The functionality which behavior is similar ‘cpselect’ a Matlab’s function if and only if the image set are both in 2D.

Open Science:

The source code and details on the usage was fully provided. Also, sample of input and output images were provided. Replication details were made available.

Reproducibility:

All details were provided and satisfactory.

Use of Open Source Software:

All necessary details were made available.

Open source Contributions:

Fully describe with user guide. Some few hours after it was properly compiled.

Code Quality :

Source code were provided as required with standard/modern coding style. Codes are portable and platform independent.

Quality of the data :

Easy to use.

Interest:

Computer vision, machine learning, GIS and statistics

Free comment :

Great job.

Add a new review

Quick Comments

Resources


Download All
Download Paper , View Paper
Download Source code
Github

Statistics more


Global rating:
Review rating:	[review]
Code rating:
Views:	14106
Downloads:	4177
Paper Quality:

Information more


Paper Id:	836
Categories:	Image, PointSet, Transforms
Keywords:	Correspondences, Registration, Keypoints
Toolkits:	ITK, VTK
Revision:
Export citation:
Status:	Open for public review

Share

Linked Publications more


Reader/Writer for Analyze Object Maps for ITK by Hawley J., Johnson H.
Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy by Vercauteren T., Pennec X., Perchant A., Ayache N.
A Label Geometry Image Filter for Multiple Object Measurement by Padfield D., Miller J.
Importing Contours from DICOM-RT Structure Sets by Dowling J., Malaterre M., Greer P.B., Salvado O.
An implementation of the minimization of region-scalable fitting energy levelsets by Tang H., Hameeteman R., Gelas A., Van Walsum T.
Importing Contours from DICOM-RT Structure Sets with ITK4 by Dowling J.
Structural MRI Unwarping Using CMTK by Rohlfing T.
Primal/Dual Mesh with Application to Triangular/Simplex Mesh and Delaunay/Voronoi by Irshad H., Rigaud S., Gouaillard A.
Fostering Open Science in Lung Cancer Lesion Sizing with ITK module LSTK by Liu X., Helba B., Krishnan K., Reynolds P., McCormick M., Turner W., Ibáñez L., Yankelevitz D., Avila R.
Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach by Lowekamp B., Chen D., Yaniv Z., Yoo T.

View license

Loading license...

Send a message to the author