Dynamic Shape Modeling for Shape Changes

2021 ◽  
pp. 215-239
Author(s):  
Chiwoo Park ◽  
Yu Ding
Keyword(s):  
Shape Modeling ◽  
Shape Changes ◽  
Dynamic Shape

scholarly journals Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling

2017 ◽  
Vol 248 ◽  
pp. 28-40 ◽  
Author(s):  
Afaf Tareef ◽  
Yang Song ◽  
Heng Huang ◽  
Yue Wang ◽  
Dagan Feng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Shape Modeling ◽  
Cytological Examination ◽  
Dynamic Shape

scholarly journals Bottom Dressing by a Dual-Arm Robot Using a Clothing State Estimation Based on Dynamic Shape Changes

10.5772/61930 ◽  
2016 ◽  
Vol 13 (1) ◽  
pp. 5 ◽  
Author(s):  
Kimitoshi Yamazaki ◽  
Ryosuke Oya ◽  
Kotaro Nagahama ◽  
Kei Okada ◽  
Masayuki Inaba
Keyword(s):  
State Estimation ◽  
Dual Arm Robot ◽  
Dual Arm ◽  
Shape Changes ◽  
Dynamic Shape

scholarly journals Dynamic shape changes of cytoplasmic organelles translocating along microtubules.

1987 ◽  
Vol 105 (3) ◽  
pp. 1267-1271 ◽  
Author(s):  
B Kachar ◽  
P C Bridgman ◽  
T S Reese
Keyword(s):  
Electron Microscopy ◽  
High Resolution ◽  
Viscous Medium ◽  
Cross Bridge ◽  
Bridge Structures ◽  
Cytoplasmic Processes ◽  
Shape Changes ◽  
Dynamic Shape ◽  
Fast Freezing ◽  
As If

Transient shape changes of organelles translocating along microtubules are directly visualized in thinly spread cytoplasmic processes of the marine foraminifer. Allogromia laticollaris, by a combination of high-resolution video-enhanced microscopy and fast-freezing electron microscopy. The interacting side of the organelle flattens upon binding to a microtubule, as if to maximize contact with it. Organelles typically assume a teardrop shape while moving, as if they were dragged through a viscous medium. Associated microtubules bend around attachments of the teardrop-shaped organelles, suggesting that they too are acted on by the forces deforming the organelles. An 18-nm gap between the organelles and the microtubules is periodically bridged by 10-nm-thick cross-bridge structures that may be responsible for the binding and motive forces deforming organelles and microtubules.

Dynamic shape modeling of the mitral valve from real-time 3D ultrasound images using continuous medial representation

2012 ◽  
Author(s):  
Alison M. Pouch ◽  
Paul A. Yushkevich ◽  
Benjamin M. Jackson ◽  
Joseph H. Gorman III ◽  
Robert C. Gorman ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Real Time ◽  
3D Ultrasound ◽  
Shape Modeling ◽  
Ultrasound Images ◽  
Medial Representation ◽  
Dynamic Shape

scholarly journals Dynamic shape changes of ECM-producing cells drive morphogenesis of ball-and-socket joints in the fly leg

Development ◽  
2010 ◽  
Vol 137 (12) ◽  
pp. 2055-2063 ◽  
Author(s):  
R. Tajiri ◽  
K. Misaki ◽  
S. Yonemura ◽  
S. Hayashi
Keyword(s):  
Shape Changes ◽  
Dynamic Shape

Dynamic Shape Typing

2002 ◽  
Author(s):  
Joris S. M. Vergeest ◽  
Chensheng Wang ◽  
Yu Song ◽  
Imre Horva´th
Keyword(s):  
Shape Optimization ◽  
Automatic Processing ◽  
Experimental Results ◽  
Shape Modeling ◽  
Shape Design ◽  
Shape Information ◽  
Representation Form ◽  
Theoretical Issues ◽  
Dynamic Shape ◽  
Selection Of

Automatic processing of shape information requires the selection of a representation form of shape. Shape modeling is based on a choice of shape type, which is the joint specification of representation form and a set of operations. In shape applications, such as shape design and shape optimization, it is not sufficient to maintain a static shape type. Depending on the specific needs during the application, i.e. depending on the modeling context, the appropriate shape type might be continuously varying. Programmed systems can handle static shape types relatively well. However, to support dynamic shape typing a number of fundamental problems need to be understood and solved. An approach to dynamic typing of freeform shapes is presented. Theoretical issues will be described and some concrete examples and initial experimental results will be presented.

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