Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities

Lecture Notes in Computer Science - Computer Vision – ECCV 2008 ◽

10.1007/978-3-540-88682-2_11 ◽

2008 ◽

pp. 127-140 ◽

Cited By ~ 12

Author(s):

Ady Ecker ◽

Allan D. Jepson ◽

Kiriakos N. Kutulakos

Keyword(s):

Semidefinite Programming ◽

Surface Reconstruction

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Fermi-surface reconstruction close to a pressure-induced metal-insulator transition

Journal de Physique IV (Proceedings) ◽

10.1051/jp4:2004114058 ◽

2004 ◽

Vol 114 ◽

pp. 277-281 ◽

Cited By ~ 1

Author(s):

J. Wosnitza ◽

J. Hagel ◽

O. Stockert ◽

C. Pfleiderer ◽

J. A. Schlueter ◽

...

Keyword(s):

Fermi Surface ◽

Surface Reconstruction ◽

Insulator Transition ◽

Metal Insulator Transition ◽

Metal Insulator ◽

Fermi Surface Reconstruction

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A Semidefinite Programming Approach to Source Localization Using Differential Received Signal Strength

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e98.a.745 ◽

2015 ◽

Vol E98.A (2) ◽

pp. 745-748

Author(s):

Yan Shen DU ◽

Ping WEI ◽

Hua Guo ZHANG ◽

Hong Shu LIAO

Keyword(s):

Semidefinite Programming ◽

Source Localization ◽

Signal Strength ◽

Received Signal Strength ◽

Programming Approach

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DOWNHOLE SIGNAL COMPRESSION AND SURFACE RECONSTRUCTION BASED ON DICTIONARY MACHINE LEARNING

10.30632/spwla-5088 ◽

2020 ◽

Author(s):

Jian Li ◽

◽

Bin Dai ◽

Christopher M. Jones ◽

Etienne M. Samson ◽

...

Keyword(s):

Machine Learning ◽

Surface Reconstruction ◽

Signal Compression

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CPU-GPU Rendering of CT Scan Images for Vertebra Reconstruction from CT Scan Images with a Calibration Policy

10.31487/j.mirs.2020.01.02 ◽

2020 ◽

pp. 1-5

Author(s):

Usman Khan ◽

AmanUllah Yasin ◽

Imran Shafi ◽

Muhammad Abid

Keyword(s):

3D Reconstruction ◽

Ct Scan ◽

Surface Reconstruction ◽

3D Visualization ◽

Cervical Vertebra ◽

Marching Cubes ◽

Affine Transform ◽

Visualization Techniques ◽

Visualization Algorithms ◽

Gpu Implementation

In this work GPU implementation of classic 3D visualization algorithms namely Marching Cubes and Raycasting has been carried for cervical vertebra using VTK libraries. A proposed framework has been introduced for efficient and duly calibrated 3D reconstruction using Dicom Affine transform and Python Mayavi framework to address the limitation of benchmark visualization techniques i.e. lack of calibration, surface reconstruction artifacts and latency.

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