Robust Points Tracking Method Using Euclidean Reconstruction for Augmented Reality

Author(s):  
Peng Chen ◽  
Rui Zhang ◽  
Zhang Gao
Author(s):  
Muhammad Ismail Mat Isham ◽  
Farhan Mohamed ◽  
Chan Vei Siang ◽  
Yusman Azimi Yusoff ◽  
Ahmad Ashraf Abd Aziz ◽  
...  

2008 ◽  
Vol 28 (4) ◽  
pp. 340-347 ◽  
Author(s):  
Li Lijun ◽  
Guan Tao ◽  
Ren Bo ◽  
Yao Xiaowen ◽  
Wang Cheng

Author(s):  
Selvia Lorena Br Ginting ◽  
◽  
Agnia F D ◽  
Ginting Y R ◽  
◽  
...  

This research aims to create Smart Health Pregnancy software that educates pregnant women on fetal development. During pregnancy, a pregnant woman’s health highly influences the pregnancy success rate. Thus, knowing the pregnancy process is necessary for pregnant women. Although resources concerning fetal development such as textbooks, general articles, and websites can be accessed easily, these resources are often too condensed with text, have a less interactive display, and provide inadequate information. Therefore, Smart Health Pregnancy software would facilitate pregnant women in understanding fetal development, displayed in an interactive way using Augmented Reality (AR) technology. The AR method utilized is a marker-based tracking method where the user can use an Android smartphone camera to receive a marker that can display a virtual object in the real world. The virtual object is presented in the form of the embryo or fetus from 1 to 38 weeks in 3D. Furthermore, important information regarding fetal development and the health of pregnant women is also shown. From the results, 95% of the respondents stated that this software is user-friendly and very informative. It shows that the software has performed well and can educate pregnant women.


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