scholarly journals Visual Hull Tree: A New Progressive Method to Represent Voxel Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 141850-141859
Author(s):  
Tae Young Jang ◽  
Seong Dae Kim ◽  
Sung Soo Hwang
Keyword(s):  
Visual Hull ◽  
Progressive Method ◽  
Voxel Data

Cryopreservation to be a progressive method for keeping up valuable strains of lactic acid bacteria and yeasts

2014 ◽  
pp. 112-119 ◽  
Author(s):  
O.A. Savkina ◽  
◽  
G.V. Ternovskoi ◽  
M.N. Lokachuk ◽  
E.N. Pavlovskaya ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Progressive Method

Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation

2009 ◽  
Vol 87 (1-2) ◽  
pp. 156-169 ◽  
Author(s):  
Stefano Corazza ◽  
Lars Mündermann ◽  
Emiliano Gambaretto ◽  
Giancarlo Ferrigno ◽  
Thomas P. Andriacchi
Keyword(s):  
Motion Capture ◽  
Specific Model ◽  
Model Generation ◽  
Visual Hull ◽  
Markerless Motion Capture ◽  
Subject Specific

scholarly journals Modified Regression Model for the Logan Plot

2002 ◽  
Vol 22 (2) ◽  
pp. 240-244 ◽  
Author(s):  
József Varga ◽  
Zsolt Szabo
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Graphical Model ◽  
Logan Plot ◽  
Positron Emission ◽  
Straight Line ◽  
Binding Data ◽  
Data Points ◽  
Voxel Data

Logan's graphical model is a robust estimation of the total distribution volume (DVt) of reversibly bound radiopharmaceuticals, but the resulting DVt values decrease with increasing noise. The authors hypothesized that the noise dependence can be reduced by a linear regression model that minimizes the sum of squared perpendicular rather than vertical ( y) distances between the data points and fitted straight line. To test the new method, 15 levels of simulated noise (repeated 2,000 times) were added to synthetic tissue activity curves, calculated from two different sets of kinetic parameters. Contrary to the traditional method, there was no ( P > 0.05) or dramatically decreased noise dependence with the perpendicular model. Real dynamic 11C (+) McN5652 serotonin transporter binding data were processed either by applying Logan analysis to average counts of large areas or by averaging the Logan slopes of individual-voxel data. There were no significant differences between the parameters when the perpendicular regression method was used with both approaches. The presented experiments show that the DVt calculated from the Logan plot is much less noise dependent if the linear regression model accounts for errors in both the x and y variables, allowing fast creation of unbiased parametric images from dynamic positron-emission tomography studies.

Visual hull-based prediction framework for 3D object coding

2012 ◽  
Author(s):  
Sung Soo Hwang ◽  
Sujung Kim ◽  
Seong-Dae Kim ◽  
Sang-Young Park
Keyword(s):  
Visual Hull ◽  
3D Object ◽  
Object Coding

scholarly journals Bottom and Concave Surface Rendering in Image-based Visual Hull

2009 ◽  
Vol 8 (2) ◽  
pp. 39-44
Author(s):  
Jie Feng ◽  
Bencong Song ◽  
Bingfeng Zhou
Keyword(s):  
Efficient Method ◽  
Concave Surface ◽  
Visual Hull ◽  
Surface Rendering ◽  
Lower Side ◽  
Object Surface

Bottom and concave shapes on object surface are difficult to reconstruct in image-based visual hull method. In this paper, we propose a simple but efficient method to solve these problems in regular image-based visual hull framework. With the help of a simple image acquiring platform which involves a glass and a mirror, we can capture images of the object from both upper and lower side at the same time. Using these images, silhouette cones necessary for reconstructing the bottom and the concave surfaces could be generated. Therefore the final rendering result of the object can be significantly improved in accuracy and reality, especially in the parts of bottom and concaves.

Visual hull reconstruction for automated primate behavior observation

2013 ◽  
Author(s):  
Nastaran Ghadar ◽  
Xikang Zhang ◽  
Kang Li ◽  
Deniz Erdogmus ◽  
Guillaume Thibault ◽  
...  
Keyword(s):  
Visual Hull ◽  
Primate Behavior ◽  
Behavior Observation

The Effect of the Inner Game Method versus the Progressive Method on Learning Motor Skills

1989 ◽  
Vol 9 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Geraldine Madden ◽  
Carl McGown
Keyword(s):  
Right Hemisphere ◽  
Hemispheric Dominance ◽  
Progressive Method ◽  
Brain Dominance ◽  
Gain Scores ◽  
Survey Form ◽  
Technical Manual ◽  
Team Game ◽  
Level 1 ◽  
Method Analysis

This study compared the effect of the Gallwey inner game method with the progressive method, as presented in the U.S. Volleyball Association Level 1 Technical Manual, on the learning of volleyball skills. The interaction of the methods with hemispheric dominance was also investigated. Hemisphericity was assessed using the Herrmann Participant Survey Form (HPSF). Volleyball skill was evaluated with a modification of the Barbarich (1980) Forearm Pass Test (BFPT) and a team game called cooperation. Undergraduate volunteers were divided into four groups. Two groups were taught by the inner game method and the other two groups were taught by the progressive method. Analysis of variance on the gain scores of the BFPT revealed no significant differences between the methods for forearm pass. There were also no differences on the team scores for cooperation, nor was there any significant interaction between brain dominance and either method. Thus, the prediction that right hemisphere dominant students would profit more if taught by the inner game method and that left hemisphere dominant students would profit more through the progressive method was not realized.

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