Synthesizing cloth wrinkles by CNN-based geometry image superresolution

2018 ◽  
Vol 29 (3-4) ◽  
pp. e1810 ◽  
Author(s):  
Lan Chen ◽  
Juntao Ye ◽  
Liguo Jiang ◽  
Chengcheng Ma ◽  
Zhanglin Cheng ◽  
...  
Keyword(s):  
Geometry Image

Multi-resolution surface modeling by using geometry image: Application to a brain atlas

2005 ◽  
Vol 1281 ◽  
pp. 1295
Author(s):  
Su Huang ◽  
Chau Ha Jenice Fung ◽  
Jimin Liu ◽  
Wieslaw L. Nowinski
Keyword(s):  
Surface Modeling ◽  
Brain Atlas ◽  
Geometry Image

scholarly journals TightCap: 3D Human Shape Capture with Clothing Tightness Field

2022 ◽  
Vol 41 (1) ◽  
pp. 1-17
Author(s):  
Xin Chen ◽  
Anqi Pang ◽  
Wei Yang ◽  
Peihao Wang ◽  
Lan Xu ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Ground Truth ◽  
Data Driven ◽  
Optimization Scheme ◽  
High Quality ◽  
3D Scan ◽  
Multi Stage ◽  
Geometry Image

In this article, we present TightCap, a data-driven scheme to capture both the human shape and dressed garments accurately with only a single three-dimensional (3D) human scan, which enables numerous applications such as virtual try-on, biometrics, and body evaluation. To break the severe variations of the human poses and garments, we propose to model the clothing tightness field—the displacements from the garments to the human shape implicitly in the global UV texturing domain. To this end, we utilize an enhanced statistical human template and an effective multi-stage alignment scheme to map the 3D scan into a hybrid 2D geometry image. Based on this 2D representation, we propose a novel framework to predict clothing tightness field via a novel tightness formulation, as well as an effective optimization scheme to further reconstruct multi-layer human shape and garments under various clothing categories and human postures. We further propose a new clothing tightness dataset of human scans with a large variety of clothing styles, poses, and corresponding ground-truth human shapes to stimulate further research. Extensive experiments demonstrate the effectiveness of our TightCap to achieve the high-quality human shape and dressed garments reconstruction, as well as the further applications for clothing segmentation, retargeting, and animation.

scholarly journals Extraction of Objects from Terrestrial Laser Scans by Integrating Geometry Image and Intensity Data with Demonstration on Trees

2012 ◽  
Vol 4 (1) ◽  
pp. 88-110 ◽  
Author(s):  
Shahar Barnea ◽  
Sagi Filin
Keyword(s):  
Intensity Data ◽  
Geometry Image

scholarly journals Apporach Geometry/Image for Rendering Forest in Real Time

2011 ◽  
Vol 3 (3) ◽  
pp. 40-49
Author(s):  
Abbas Faycal ◽  
Med Chaouki Babahenini
Keyword(s):  
Real Time ◽  
Geometry Image

scholarly journals A Label Geometry Image Filter for Multiple Object Measurement

2013 ◽  
Author(s):  
Dirk Padfield ◽  
James Miller
Keyword(s):  
Geometric Features ◽  
Image Filter ◽  
Mathematical Background ◽  
Multiple Object ◽  
Object Features ◽  
Geometry Image

The itkLabelGeometryImageFilter is a new ITK filter that enables the measurement of geometric features of labeled objects. It calculates features similar to the “regionprops” command of Matlab. It is related to the itkLabelStatisticsImageFilter in that both filters measure features of labeled masks. It differs, however, in that it measures geometric features of the objects themselves rather than statistics of image intensities under the masks defined by the objects. This document describes the mathematical background of the geometric features measured by this filter and describes the framework of the code, which is structured to enable easy expandability as new object features are desired.

Multi-Resolution Aitchison Geometry Image Denoising for Low-Light Photography

2021 ◽  
pp. 1-1
Author(s):  
Sarah Miller ◽  
Chen Zhang ◽  
Keigo Hirakawa
Keyword(s):  
Image Denoising ◽  
Aitchison Geometry ◽  
Low Light ◽  
Geometry Image

Geometry Image

2009 ◽  
pp. 665-665
Keyword(s):  
Geometry Image

Geometry Image with Higher Compressibility

2013 ◽  
Vol 10 (16) ◽  
pp. 5135-5143
Author(s):  
Riming Sun
Keyword(s):  
Geometry Image

Digital geometry image analysis for medical diagnosis

2006 ◽  
Author(s):  
Jiandong Fang ◽  
Shiaofen Fang ◽  
Jeffrey Huang ◽  
Mihran Tuceryan
Keyword(s):  
Image Analysis ◽  
Medical Diagnosis ◽  
Digital Geometry ◽  
Geometry Image
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