scholarly journals Reconstructing Mass-Conserved Water Surfaces Using Shape from Shading and Optical Flow

2011 ◽  
pp. 189-201 ◽  
Author(s):  
David Pickup ◽  
Chuan Li ◽  
Darren Cosker ◽  
Peter Hall ◽  
Phil Willis
Keyword(s):  
Optical Flow ◽  
Shape From Shading ◽  
Water Surfaces

scholarly journals Shape from Shading and Optical Flow used for 3-Dimensional Reconstruction of Endoscope Image

2015 ◽  
Vol 1 (1) ◽  
pp. 20-23 ◽  
Author(s):  
Lei Lei ◽  
◽  
Jianhui Li ◽  
Meiqing Liu ◽  
Xiaoming Hu ◽  
...  
Keyword(s):  
Optical Flow ◽  
Shape From Shading ◽  
3 Dimensional ◽  
Dimensional Reconstruction

Shape from shading and optical flow used for 3-dimensional reconstruction of endoscope image

2016 ◽  
Vol 136 (11) ◽  
pp. 1190-1192 ◽  
Author(s):  
Lei Lei ◽  
Jianhui Li ◽  
Meiqing Liu ◽  
Xiaoming Hu ◽  
Ya Zhou ◽  
...  
Keyword(s):  
Optical Flow ◽  
Shape From Shading ◽  
3 Dimensional ◽  
Dimensional Reconstruction

Mental Models "Midst the Optical Flow

1992 ◽  
Author(s):  
Jeremy M. A. Beer
Keyword(s):  
Optical Flow ◽  
Mental Models

Motion correction in PET/CT

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  
Keyword(s):  
Optical Flow ◽  
Motion Correction ◽  
Motion Vector ◽  
Emission Tomography ◽  
Cardiac Pet ◽  
Novel Approach ◽  
Positron Emission ◽  
Pet Ct ◽  
Flow Algorithm ◽  
Motion Vector Field

Summary:Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.

Locating Method for Vehicle at Intersection Based on TPVM and Optical Flow

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Tao Chen ◽  
Linkun Fan ◽  
Xuchuan Li ◽  
Congshuai Guo ◽  
Miaomiao Qiao
Keyword(s):  
Optical Flow

Research of On-Road Obstacle Detection and Risk Degree Demonstration by Analyzing Difference between Model Flow Field and Observed Optical Flow Field

2009 ◽  
Vol 129 (5) ◽  
pp. 792-799
Author(s):  
Takashi Yamanaka ◽  
Masayuki Kashima ◽  
Kiminori Sato ◽  
Mutsumi Watanabe ◽  
Jun Ogata
Keyword(s):  
Flow Field ◽  
Optical Flow ◽  
Obstacle Detection ◽  
Optical Flow Field ◽  
Model Flow ◽  
Risk Degree

Classification of Esophageal and Bolus Movements for Evaluation of Swallowing Function by Ultrasound Video Processing Using Optical Flow and Stable Extremal Region Method

2019 ◽  
Vol 139 (5) ◽  
pp. 603-608 ◽  
Author(s):  
Yutaka Suzuki ◽  
Kyosuke Hatsushika ◽  
Keisuke Masuyama ◽  
Osamu Sakata ◽  
Morimasa Tanimoto ◽  
...  
Keyword(s):  
Optical Flow ◽  
Video Processing ◽  
Swallowing Function ◽  
Region Method

Wavelet-based Optical Flow Velocimetry (wOFV) Applied to Tagging Velocimetry Data

2021 ◽  
Author(s):  
Tobin Gevelber ◽  
Bryan E. Schmidt ◽  
Muhammad A. Mustafa ◽  
David Shekhtman ◽  
Nick J. Parziale
Keyword(s):  
Optical Flow ◽  
Flow Velocimetry
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