scholarly journals Monocular Real-Time Volumetric Performance Capture

2020 ◽  
pp. 49-67
Author(s):  
Ruilong Li ◽  
Yuliang Xiu ◽  
Shunsuke Saito ◽  
Zeng Huang ◽  
Kyle Olszewski ◽  
...  
Keyword(s):  
Real Time ◽  
Performance Capture

scholarly journals Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset

2018 ◽  
Author(s):  
Guoxian Song ◽  
Jianfei Cai ◽  
Tat-Jen Cham ◽  
Jianmin Zheng ◽  
Juyong Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
3D Face ◽  
Performance Capture

HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs

2018 ◽  
pp. 389-406 ◽  
Author(s):  
Zerong Zheng ◽  
Tao Yu ◽  
Hao Li ◽  
Kaiwen Guo ◽  
Qionghai Dai ◽  
...  
Keyword(s):  
Real Time ◽  
Depth Sensor ◽  
Time Performance ◽  
Performance Capture

scholarly journals Automated Near–Real-time Clinical Performance Feedback for Anesthesiology Residents

2014 ◽  
Vol 120 (1) ◽  
pp. 172-184 ◽  
Author(s):  
Jesse M. Ehrenfeld ◽  
Matthew D. McEvoy ◽  
William R. Furman ◽  
Dylan Snyder ◽  
Warren S. Sandberg
Keyword(s):  
Real Time ◽  
Performance Feedback ◽  
Clinical Performance ◽  
Core Competencies ◽  
Information Management System ◽  
Quality Metrics ◽  
Assessment Tools ◽  
Resident Performance ◽  
Survey Results ◽  
Performance Capture

Abstract Background: Anesthesiology residencies are developing trainee assessment tools to evaluate 25 milestones that map to the six core competencies. The effort will be facilitated by development of automated methods to capture, assess, and report trainee performance to program directors, the Accreditation Council for Graduate Medical Education and the trainees themselves. Methods: The authors leveraged a perioperative information management system to develop an automated, near–real-time performance capture and feedback tool that provides objective data on clinical performance and requires minimal administrative effort. Before development, the authors surveyed trainees about satisfaction with clinical performance feedback and about preferences for future feedback. Results: Resident performance on 24,154 completed cases has been incorporated into the authors’ automated dashboard, and trainees now have access to their own performance data. Eighty percent (48 of 60) of the residents responded to the feedback survey. Overall, residents “agreed/strongly agreed” that they desire frequent updates on their clinical performance on defined quality metrics and that they desired to see how they compared with the residency as a whole. Before deployment of the new tool, they “disagreed” that they were receiving feedback in a timely manner. Survey results were used to guide the format of the feedback tool that has been implemented. Conclusion: The authors demonstrate the implementation of a system that provides near–real-time feedback concerning resident performance on an extensible series of quality metrics, and which is responsive to requests arising from resident feedback about desired reporting mechanisms.

Real-time high-fidelity facial performance capture

2015 ◽  
Vol 34 (4) ◽  
pp. 1-9 ◽  
Author(s):  
Chen Cao ◽  
Derek Bradley ◽  
Kun Zhou ◽  
Thabo Beeler
Keyword(s):  
Real Time ◽  
High Fidelity ◽  
Performance Capture

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

Video real-time imaging of artificial membranes during freeze-drying by cryo-electron microscopy

1988 ◽  
Vol 46 ◽  
pp. 16-17
Author(s):  
Alan S. Rudolph ◽  
Ronald R. Price
Keyword(s):  
Real Time ◽  
Self Assembly ◽  
Freeze Drying ◽  
Video Capture ◽  
Drying Process ◽  
Artificial Membranes ◽  
The Past ◽  
Cryo Electron Microscopy ◽  
Spherical Structures ◽  
Capture Techniques

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

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