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3DOR
2008
15 years 9 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
VMV
2001
248views Visualization» more  VMV 2001»
15 years 8 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
ETS
2010
IEEE
174views Hardware» more  ETS 2010»
15 years 7 months ago
Test-architecture optimization for TSV-based 3D stacked ICs
Testing of 3D stacked ICs (SICs) is becoming increasingly important in the semiconductor industry. In this paper, we address the problem of test architecture optimization for 3D s...
Brandon Noia, Sandeep Kumar Goel, Krishnendu Chakr...
MTA
2006
195views more  MTA 2006»
15 years 6 months ago
An efficient and robust algorithm for 3D mesh segmentation
Abstract This paper presents an efficient and robust algorithm for 3D mesh segmentation. Segmentation is one of the main areas of 3D object modeling. Most segmentation methods deco...
Lijun Chen 0003, Nicolas D. Georganas
IJCAT
2010
111views more  IJCAT 2010»
15 years 5 months ago
Vision-based 3D surface motion capture for the DIET breast cancer screening system
—Breast cancer is one of the most prevalent forms of cancer in the world today. The search for effective treatment and screening methods is a highly active area of research. The ...
Richard G. Brown, Christopher E. Hann, J. Geoffrey...