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  Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Enhancement (I.4.3) > Registration (I.4.3...)  
  1-10 of 11 Reviews about "Registration (I.4.3...)": Date Reviewed
  Registration methods for pulmonary image analysis: integration of morphological and physiological knowledge
Schmidt-Richberg A., Springer Vieweg, Wiesbaden, Germany, 2014. 192 pp.  Type: Book (978-3-658016-61-6)

Irradiating a moving tumor has been one of the ultimate goals of radiation oncology. Older forms of radiation oncology could not account for the motion associated with an organ containing a tumor. Radiation beams were targeted at a tum...

Jul 14 2014
  Groupwise registration via graph shrinkage on the image manifold
Ying S., Wu G., Wang Q., Shen D.  CVPR 2013 (Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, Jun 23-28, 2013) 2323-2330, 2013.  Type: Proceedings

Groupwise registration makes sense when more than two images have to be aligned. In order to remove bias, none of the original images are chosen as the single target image. Instead, a group mean image is used. However, an arithmetic me...

Apr 15 2014
   High-performance deformable image registration algorithms for manycore processors
Shackleford J., Kandasamy N., Sharp G., Morgan Kaufmann Publishers Inc., Waltham, MA, 2013. 122 pp.  Type: Book (978-0-124077-41-6)

This is more of a booklet than a book, but it is nonetheless a kind of gem for understanding the process of mastering deformable image registration with graphics processing units (GPUs). The 100-plus pages are divided into six chapters...

Jan 10 2014
  Image registration using BP-SIFT
Zhu Y., Cheng S., Stanković V., Stanković L. Journal of Visual Communication and Image Representation 24(4): 448-457, 2013.  Type: Article

Image registration is the process of coordinating images of the same scene taken from different views, at different times, in different locations, or using different sensors. This process greatly helps with image fusion in remote sensi...

Oct 1 2013
  Spectral registration of noisy sonar data for underwater 3D mapping
Bülow H., Birk A. Autonomous Robots 30(3): 307-331, 2011.  Type: Article

In mapping, it is important to register two maps, that is, to find a shift and a 3D rotation after which the parts of the maps that describe the overlapping region match. In contrast to satellite and biomedical imaging, sonar and other...

Aug 4 2011
  The angular difference function and its application to image registration
Keller Y., Shkolnisky Y., Averbuch A. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(6): 969-976, 2005.  Type: Article

The methods discussed in this work can be used to rapidly estimate the shift and rotation of two images. There is an excellent mathematical exposition, beginning with the standard application of Fourier-based translation estimation alg...

Feb 13 2006
  2-D and 3-D image registration: for medical, remote sensing, and industrial applications
Goshtasby A., Wiley-Interscience, New York, NY, 2005. 280 pp.  Type: Book (9780471649540)

Image registration (IR), the process of spatially aligning two or more images of a scene, is an important problem in image analysis, and is the focus of this book. In the very short chapter 1, an example of IR is given, followed by an ...

Sep 22 2005
  Parallel evolutionary registration of range data
Robertson C., Fisher R. Computer Vision and Image Understanding 87(1/2/3): 39-50, 2002.  Type: Article

In reconstructing a 3D image from a so-called 2-1/2 representation, it is necessary to assign a correspondence between points in a set of images that represent the same point in the 3D image. This is often done by using an iterative cl...

May 29 2003
  An Orientation Reliability Matrix for the Iterative Closest Point Algorithm
Lee B., Kim C., Park R. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10): 1205-1208, 2000.  Type: Article

The general area of this short paper is the registration of multiple views of a scene, in order to build an object model of the scene. The iterative closest point (ICP) algorithm has been widely used because it can handle free-form obj...

May 1 2001
  A survey of image registration techniques
Brown L. ACM Computing Surveys 24(4): 325-376, 1992.  Type: Article

A taxonomy of two-dimensional image registration techniques is presented based on the types of variations in the images. To fulfill this purpose, the author presents the necessary terminology and image registration fundamentals in the ...

Jun 1 1994
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