Detection of False Synchronization of Stereo Image Transmission Using a Convolutional Neural Network
نویسندگان
چکیده
The subject of the work described in this article is detection false synchronization transmission digital stereo images. Until now, problem was solved by using start triggers recording. Our proposal checks discrepancy between received pairs images, which allows you to detect delays transferring images left camera and right camera. For purpose, a deep network used classify analyzed into five classes: MuchFaster, Faster, Regular, Slower, MuchSlower. As can be seen as result conducted work, satisfactory research results were obtained correct classification. A high percentage average probability individual classes also indicates degree certainty correctness results. An author’s base colorful number 3070 for research.
منابع مشابه
Image Manipulation Detection using Convolutional Neural Network
Using various methods, an image manipulation can be done not only by the image manipulation itself, but also by the criminals of counterfeiters for the purpose of counterfeiting. Digital forensic techniques are needed to detect the tampering and manipulation of images for such illegal purposes. In this paper, we present an image manipulation detection algorithm using deep learning technology, w...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملDouble-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence
In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two k...
متن کاملscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
assessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym13010078