GPU Implementation for Background-Foreground-Separation via Robust PCA and Robust Subspace Tracking

2014 ◽  
pp. 20-1-20-19
Author(s):  
Clemens Hage ◽  
Florian Seidel ◽  
Martin Kleinsteuber
Keyword(s):  
Subspace Tracking ◽  
Robust Pca ◽  
Gpu Implementation

scholarly journals Provable Dynamic Robust PCA or Robust Subspace Tracking

2019 ◽  
Vol 65 (3) ◽  
pp. 1547-1577 ◽  
Author(s):  
Praneeth Narayanamurthy ◽  
Namrata Vaswani
Keyword(s):  
Subspace Tracking ◽  
Robust Pca

scholarly journals Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

2018 ◽  
Vol 35 (4) ◽  
pp. 32-55 ◽  
Author(s):  
Namrata Vaswani ◽  
Thierry Bouwmans ◽  
Sajid Javed ◽  
Praneeth Narayanamurthy
Keyword(s):  
Subspace Learning ◽  
Subspace Tracking ◽  
Robust Pca

Robust PCA and Robust Subspace Tracking: A Comparative Evaluation

2018 ◽  
Author(s):  
Sajid Javed ◽  
Praneeth Narayanamurthy ◽  
Thierry Bouwmans ◽  
Namrata Vaswani
Keyword(s):  
Comparative Evaluation ◽  
Subspace Tracking ◽  
Robust Pca

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

2020 ◽  
pp. 1-5
Author(s):  
Usman Khan ◽  
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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