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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...)":
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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...
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Jun 16 2006 |
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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...
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Jul 15 2005 |
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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...
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Jan 19 2005 |
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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....
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Feb 1 2000 |
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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 ...
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Nov 1 1999 |
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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 ...
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Apr 1 1999 |
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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...
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Aug 1 1998 |
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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...
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Jul 1 1998 |
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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...
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May 1 1987 |
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