Real-time facial animation from live video tracking

Author(s):  
Taehyun Rhee ◽  
Youngkyoo Hwang ◽  
James Dokyoon Kim ◽  
Changyeong Kim
Author(s):  
Tamim Ahmed ◽  
Khandker Sadia Rahman ◽  
Sk Subrina Shawlin ◽  
Mohammad Hasan ◽  
Arnab Bhattacharjee ◽  
...  

2016 ◽  
Vol 35 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Chen Cao ◽  
Hongzhi Wu ◽  
Yanlin Weng ◽  
Tianjia Shao ◽  
Kun Zhou
Keyword(s):  

2003 ◽  
Author(s):  
Sangkyu Kang ◽  
Joon-Ki Paik ◽  
Andreas Koschan ◽  
Besma R. Abidi ◽  
Mongi A. Abidi
Keyword(s):  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeffrey Dalli ◽  
Eamon Loughman ◽  
Niall Hardy ◽  
Anwesha Sarkar ◽  
Mohammad Faraz Khan ◽  
...  

AbstractAs indocyanine green (ICG) with near-infrared (NIR) endoscopy enhances real-time intraoperative tissue microperfusion appreciation, it may also dynamically reveal neoplasia distinctively from normal tissue especially with video software fluorescence analysis. Colorectal tumours of patients were imaged mucosally following ICG administration (0.25 mg/kg i.v.) using an endo-laparoscopic NIR system (PINPOINT Endoscopic Fluorescence System, Stryker) including immediate, continuous in situ visualization of rectal lesions transanally for up to 20 min. Spot and dynamic temporal fluorescence intensities (FI) were quantified using ImageJ (including videos at one frame/second, fps) and by a bespoke MATLAB® application that provided digitalized video tracking and signal logging at 30fps (Fluorescence Tracker App downloadable via MATLAB® file exchange). Statistical analysis of FI-time plots compared tumours (benign and malignant) against control during FI curve rise, peak and decline from apex. Early kinetic FI signal measurement delineated discriminative temporal signatures from tumours (n = 20, 9 cancers) offering rich data for analysis versus delayed spot measurement (n = 10 cancers). Malignant lesion dynamic curves peaked significantly later with a shallower gradient than normal tissue while benign lesions showed significantly greater and faster intensity drop from apex versus cancer. Automated tracker quantification efficiently expanded manual results and provided algorithmic KNN clustering. Photobleaching appeared clinically irrelevant. Analysis of a continuous stream of intraoperatively acquired early ICG fluorescence data can act as an in situ tumour-identifier with greater detail than later snapshot observation alone. Software quantification of such kinetic signatures may distinguish invasive from non-invasive neoplasia with potential for real-time in silico diagnosis.


2020 ◽  
Vol 26 (8) ◽  
pp. 83-99
Author(s):  
Sarah Haider Abdulredah ◽  
Dheyaa Jasim Kadhim

A Tonido cloud server provides a private cloud storage solution and synchronizes customers and employees with the required cloud services over the enterprise. Generally, access to any cloud services by users is via the Internet connection, which can face some problems, and then users may encounter in accessing these services due to a weak Internet connection or heavy load sometimes especially with live video streaming applications overcloud. In this work, flexible and inexpensive proposed accessing methods are submitted and implemented concerning real-time applications that enable users to access cloud services locally and regionally. Practically, to simulate our network connection, we proposed to use the Raspberry-pi3 model B+ as a router wireless LAN (WLAN) that enables users to have the cloud services using different access approaches such as wireless and wireline connections. As a case study for a real-time application over the cloud server, it is suggested to do a live video streaming using an IP webcam and IVIDEON cloud where the streaming video can be accessed via the cloud server at any time with different users taking into account the proposed practical connections. Practical experiments showed and proved that accessing real-time applications of cloud services via wireline and wireless connections is improved by using Tonido cloud server's facilities.


1979 ◽  
Vol 18 (1) ◽  
pp. 180125
Author(s):  
A. L. Gilbert

Author(s):  
Bingwei Liu ◽  
Yu Chen ◽  
Erik Blasch ◽  
Khanh Pham ◽  
Dan Shen ◽  
...  
Keyword(s):  

Author(s):  
Aleksandra Cerekovic ◽  
Goranka Zoric ◽  
Karlo Smid ◽  
Igor S. Pandzic
Keyword(s):  

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