scholarly journals Ground Truth for Layout Analysis Performance Evaluation

2006 ◽  
pp. 302-311 ◽  
Author(s):  
A. Antonacopoulos ◽  
D. Karatzas ◽  
D. Bridson
Keyword(s):  
Performance Evaluation ◽  
Ground Truth ◽  
Layout Analysis

scholarly journals Performance Evaluation of Ground AR Anchor with WebXR Device API

2021 ◽  
Vol 11 (17) ◽  
pp. 7877
Author(s):  
Daehyeon Lee ◽  
Woosung Shim ◽  
Munyong Lee ◽  
Seunghyun Lee ◽  
Kye-Dong Jung ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Mixed Reality ◽  
Ground Truth ◽  
Application Programming Interface ◽  
Absolute Error ◽  
Frame Rate ◽  
Difference Image ◽  
Match Rate ◽  
The Difference ◽  
The Web

Recently, the development of 3D graphics technology has led to various technologies being combined with reality, where a new reality is defined or studied; they are typically named by combining the name of the technology with “reality”. Representative “reality” includes Augmented Reality, Virtual Reality, Mixed Reality, and eXtended Reality (XR). In particular, research on XR in the web environment is actively being conducted. The Web eXtended Reality Device Application Programming Interface (WebXR Device API), released in 2018, allows instant deployment of XR services to any XR platform requiring only an active web browser. However, the currently released tentative version has poor stability. Therefore, in this study, the performance evaluation of WebXR Device API is performed using three experiments. A camera trajectory experiment is analyzed using ground truth, we checked the standard deviation between the ground truth and WebXR for the X, Y, and Z axes. The difference image experiment is conducted for the front, left, and right directions, which resulted in a visible difference image for each image of ground truth and WebXR, small mean absolute error, and high match rate. In the experiment for measuring the 3D rendering speed, a frame rate similar to that of real-time is obtained.

Ground truth and benchmarks for performance evaluation

2003 ◽  
Author(s):  
Ayako Takeuchi ◽  
Michael Shneier ◽  
Tsai Hong Hong ◽  
Tommy Chang ◽  
Christopher Scrapper ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Ground Truth

Performance Evaluation of Real-Time Kinematic GPS at Arctic Latitudes

2009 ◽  
Author(s):  
Alessio Salerno ◽  
Tom Lamarche ◽  
Erick Dupuis
Keyword(s):  
Performance Evaluation ◽  
Real Time ◽  
Global Positioning System ◽  
Ground Truth ◽  
Research Network ◽  
Real Time Kinematic ◽  
Global Positioning ◽  
Challenging Environment ◽  
Analogue Research ◽  
Rtk Gps

A real-time kinematic (RTK) global positioning system (GPS) has been identified for potentially being used as a ground-truth sensor for testing robotic rovers for planetary exploration. A series of environmental tests needs to be performed in order to validate the performance of the sensor at hand before being used as a ground-truth system. This paper focuses on the performance evaluation of the RTK GPS at Axel Heiberg Island Canadian Space Agency’s Analogue Research Network (CARN) site. This is one of the officially recognized terrestrial analogues, that is places on Earth that approximate the geological, environmental and putative biological conditions on Mars and other planetary bodies (Hipkin et al.). The challenge lies in the use of the equipment at Arctic latitudes. The results show that the system performed according to specifications even in this challenging environment.

Some Fuzzy Tools for Evaluation of Computer Vision Algorithms

2018 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Andrey Osipov
Keyword(s):  
Computer Vision ◽  
Performance Evaluation ◽  
Face Recognition ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Evaluation Method ◽  
Similarity Measures ◽  
Ground Truth ◽  
Fuzzy Similarity ◽  
Segmentation Quality

In this article, some issues related to the performance evaluation of computer vision algorithms within the version of direct empirical supervised evaluation method developed at SRISA RAS are considered. This approach partly relies on the elements defined by using the fuzzy set theory, in particular, fuzzy similarity measures and fuzzy reference ground truth images. Some known measures of segmentation quality are considered and their extensions, representing the fuzzy similarity measures, are offered. As an example, the author considers an application of fuzzy ground truth images and fuzzy similarity measures, including some newly introduced ones, to the evaluation of face recognition algorithms.

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