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  Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Scene Analysis (I.4.8) > Range Data (I.4.8...)  
 
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  1-9 of 9 Reviews about "Range Data (I.4.8...)": Date Reviewed
  A novel representation and feature matching algorithm for automatic pairwise registration of range images
Mian A., Bennamoun M., Owens R. International Journal of Computer Vision 66(1): 19-40, 2006.  Type: Article

The ability to automatically match two-dimensional (2D) scans of three-dimensional (3D) objects is a basic problem in 3D modeling. Mian, Bennamoun, and Owens describe a novel method for matching surface features, using third-order tens...

Jun 16 2006
  Range Image Segmentation by an Effective Jump-Diffusion Method
Han F., Tu Z., Zhu S. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(9): 1138-1153, 2004.  Type: Article

Usually, a pixel of a digital image represents the reflected color or grey tone of a given projected point of the real space onto a charge coupled device (CCD), or similar sensor cell. However, range images are those in which every pix...

Jul 15 2005
   Complete solution classification for the perspective-three-point problem
Gao X., Hou X., Tang J., Cheng H. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(8): 930-943, 2003.  Type: Article

The perspective problem (also called pose estimation) is defined as follows: given n points in space, and the values of the angles subtended by each pair of points at an unknown “point of view,“ d...

Jan 19 2005
  RANSAC-Based DARCES: A New Approach to Fast Automatic Registration of Partially Overlapping Range Images
Chen C., Hung Y., Cheng J. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(11): 1229-1234, 1999.  Type: Article

The problem of registering two partially overlapping range images taken from different views is dealt with in this paper. The authors describe the RANSAC-based DARCES method, which can solve this problem without any initial estimation....

Feb 1 2000
  Dynamic-scale model construction from range imagery
Hoover A., Goldgof D., Bowyer K. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(12): 1352-1357, 1998.  Type: Article

There are two well-explored methods for construction of a modelfrom range imagery: surface adjacency graph and mesh computation. Thescale of a method is basically the fineness of the edges that thealgorithm uses. Proper setting of the ...

Nov 1 1999
  Range imaging with adaptive color structured light
Caspi D., Kiryati N., Shamir J. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(5): 470-480, 1998.  Type: Article

A number of techniques have been developed for range sensing in an image with panchromatic or colored illumination patterns. The desired goals are accuracy, robustness, and low acquisition time. This report deals with the use of color ...

Apr 1 1999
  3D part segmentation using simulated electrical charge distributions
Wu K., Levine M. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(11): 1223-1235, 1997.  Type: Article

The segmentation of a 3D object into parts has customarily been determined by analyzing the object’s geometric properties, such as surface curvature or volumetric shape. This paper uses a novel physics-based approach on range...

Aug 1 1998
  Partial surface and volume matching in three dimensions
Barequet G., Sharir M. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(9): 929-948, 1997.  Type: Article

For the analysis or generation of three-dimensional models, there is a need to match these models of the surface or the volume enclosed by the surface. This paper describes a system that uses the geometric hashing technique and works o...

Jul 1 1998
  Invariant surface characteristics for 3D object recognition in range images
Besl P., Jain R. (ed) Computer Vision, Graphics, and Image Processing 33(1): 33-80, 1986.  Type: Article

As the quality of digitized range data available from active and passive sensors has improved with time, there has been a tremendous increase in computer vision research using this data. In this very extensive paper, the authors addres...

May 1 1987
 
 
 
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