scholarly journals Object Metamorphosis Based on Generalized Morphology Transformation

2001 ◽  
Vol 5 (1) ◽  
pp. 92-103
Author(s):  
Hua Li ◽  
Wenyu Liu ◽  
Guangxi Zhu ◽  
Yaoting Zhu

A metamorphosis or a morphing is the process of continuously transforming one object into another, and are popular in computer animation, industrial design, and growth simulation. In this paper, a novel approach is presented for computing continuous shape transformation between polyhedral objects in this paper. Metamorphosis can be achieved by decomposing two objects into sets of individual convex sub-objects respectively and constructing the mapping between two sets, this method can solve the metamorphosis problem of two non-homotopic objects (including concave objects and holey objects). The results of object metamorphosis are discussed in this paper. The experiments show that this method can generate natural, high quality metamorphosis results with simple computation. This method can also be used in font composition and interpolation between two keyframes in 2D and 3D computer animation automatically.

2015 ◽  
Vol 24 (02) ◽  
pp. 1540010 ◽  
Author(s):  
Patrick Arnold ◽  
Erhard Rahm

We introduce a novel approach to extract semantic relations (e.g., is-a and part-of relations) from Wikipedia articles. These relations are used to build up a large and up-to-date thesaurus providing background knowledge for tasks such as determining semantic ontology mappings. Our automatic approach uses a comprehensive set of semantic patterns, finite state machines and NLP techniques to extract millions of relations between concepts. An evaluation for different domains shows the high quality and effectiveness of the proposed approach. We also illustrate the value of the newly found relations for improving existing ontology mappings.


2021 ◽  
Vol 2 ◽  
Author(s):  
Martin Komaritzan ◽  
Stephan Wenninger ◽  
Mario Botsch

3D morphable models are widely used to describe the variation of human body shapes. However, these models typically focus on the surface of the human body, since the acquisition of the volumetric interior would require prohibitive medical imaging. In this paper we present a novel approach for creating a volumetric body template and for fitting this template to the surface scan of a person in a just a few seconds. The body model is composed of three surface layers for bones, muscles, and skin, which enclose the volumetric muscle and fat tissue in between them. Our approach includes a data-driven method for estimating the amount of muscle mass and fat mass from a surface scan, which provides more accurate fits to the variety of human body shapes compared to previous approaches. We also show how to efficiently embed fine-scale anatomical details, such as high resolution skeleton and muscle models, into the layered fit of a person. Our model can be used for physical simulation, statistical analysis, and anatomical visualization in computer animation and medical applications, which we demonstrate on several examples.


2014 ◽  
Vol 684 ◽  
pp. 413-419
Author(s):  
Jan Grepl ◽  
Karel Frydrýšek ◽  
Marek Penhaker

This article focuses on the biomechanical evaluation of the interaction between load forces to which a sitting man and the seat are mutually exposed. The load forces, which consider actual dispersion in the human population through histograms, are determined using a probabilistic method known as the Simulation-Based Reliability Assessment (SBRA). A simple flat model shows a basic and high-quality stochastic evaluation of all the forces that affect the man and the seat. The results and methodology can be used in many areas of biomechanics, ergonomics or industrial design.


2018 ◽  
pp. 2139-2165
Author(s):  
M. Kalaiselvi Geetha ◽  
J. Arunnehru ◽  
A. Geetha

Automatic identification and early prediction of suspicious human activities are of significant importance in video surveillance research. By recognizing and predicting a criminal activity at an early stage, regrettable incidents can be avoided. Initially, an action recognition framework is developed for identifying the suspicious actions using interest point based 2D and 3D features and transform based approaches. This is subsequently followed by a novel approach for predicting the suspicious actions for crime prevention in real-world scenario. The prediction problem is formulated probabilistically and a novel approach that employs the mixture models for prediction is introduced. The developed system yields promising results for predicting the actions in real-time.


2020 ◽  
Vol 18 (15) ◽  
pp. 2929-2937 ◽  
Author(s):  
Rūta Gerasimaitė ◽  
Jan Seikowski ◽  
Jens Schimpfhauser ◽  
Georgij Kostiuk ◽  
Tanja Gilat ◽  
...  

Fluorescent actin probes made of 6′-carbopyronines and jasplakinolide are insensitive to efflux pumps and stain F- and G-actin efficiently in living cells, allowing high quality 2D and 3D nanoscopy of dynamic actin structures.


2013 ◽  
Vol 273 ◽  
pp. 796-799
Author(s):  
Yong Sheng Wang

This paper presents a novel approach to model 3D human face from multiple view 2D images in a fast mode. Our proposed method mainly includes three steps: 1) Face Recognition from 2D images, 2) Converting 2D images to 3D images, 3) Modeling 3D human face. To extract visual features of both 2D and 3D images, visual features adopted in 3D are described by Point Signature, and visual features utilized in 2D is represented by Gabor filter responses. Afterwards, 3D model is obtained by combining multiple view 2D images through calculating projections vector and translation vector. Experimental results show that our method can model 3D human face with high accuracy and efficiency.


2003 ◽  
Vol 2 (4) ◽  
pp. 193-201 ◽  
Author(s):  
Xujing Wang ◽  
Nan Jiang ◽  
Xin Feng ◽  
Yizhou Xie ◽  
P.J. Tonellato ◽  
...  

2020 ◽  
Author(s):  
George Tewfik ◽  
Adam Work ◽  
Steven Shulman ◽  
Patrick Discepola

Abstract Background YouTube™ (“YouTube”) is often used as an educational tool to instruct anesthesia providers on regional anesthesia nerve blocks. However, there is no current objective standard to assess the educational quality of these user-uploaded videos. A new approach was used to objectively validate these videos by comparing them to high quality educational sources for the seven most commonly used nerve blocks. Objective We sought to evaluate the educational quality of user-uploaded videos when compared to the highest quality anesthesia society websites (NYSORA, ACEP, USRA) Methods We first catalogued the characteristics of the instructional material on three of the highest quality anesthesia society websites (NYSORA, ACEP, USRA) into 18 different items. Next, we surveyed the five most popular anesthesia block videos on YouTube for each of the seven peripheral nerve blocks in question. The presence or absence of each category was recorded. Results Although there were varying degrees of correlation between the high quality sources and the videos, rarely did YouTube videos contain as high a percentage of these educational characteristics as the well-established sources. Some videos contained very few of these important educational characteristics. Conclusion Although YouTube has been used an educational tool, we recommend that only high quality sources be used to teach or illustrate regional anesthesia nerve blocks.


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