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From their beginning, people have always been prone to hiding something. Nowadays, the need for sending hidden messages has become the matter of pride and elite knowledge of managing how to send something to someone right in front of the eyes of others without others knowing about the communication. It opens a complete new perspective of the world, parallel to the existing one, where hidden messages...
Remote sensing imagery derived from different sensors has different crop identification capability. due to the different spatial and temporal resolution, availability of certain spectral bands. Landsat OLI and RapidEye provide an important part of data sources for agricultural monitoring with a relative long historic records. As the availability of the data from these two sensors is totally different,...
New opportunities exist for applications such as disaster incident response that can benefit from the convergence of Internet of Things (IoT) and cloud computing technologies. Particularly, new paradigms such as Mobile Edge Computing (MEC) are becoming feasible to handle the data deluge occurring in the network edge to gain insights that assist in real-time decision making. In this paper, we study...
In this paper, we present a novel image scaling method that employs a mesh model that explicitly represents discontinuities in the image. Our method effectively addresses the problem of preserving the sharpness of edges, which has always been a challenge, during image enlargement. We use a constrained Delaunay triangulation to generate the model and an approximating function that is continuous everywhere...
Rapid growing of multimedia processing technologies enables many creative and powerful new applications. Due to the availability of multimedia reconstruction and editing tools, multimedia authentication gained a considerable attention. Some authentication is to be performed during the transmission of data via insecure networks. Data encryption is one of the frequently used method for secure data transmission...
Understanding a visual scene goes beyond recognizing individual objects in isolation. Relationships between objects also constitute rich semantic information about the scene. In this work, we explicitly model the objects and their relationships using scene graphs, a visually-grounded graphical structure of an image. We propose a novel end-to-end model that generates such structured scene representation...
Common visual recognition tasks such as classification, object detection, and semantic segmentation are rapidly reaching maturity, and given the recent rate of progress, it is not unreasonable to conjecture that techniques for many of these problems will approach human levels of performance in the next few years. In this paper we look to the future: what is the next frontier in visual recognition?...
A perennial problem in structure from motion (SfM) is visual ambiguity posed by repetitive structures. Recent disambiguating algorithms infer ambiguities mainly via explicit background context, thus face limitations in highly ambiguous scenes which are visually indistinguishable. Instead of analyzing local visual information, we propose a novel algorithm for SfM disambiguation that explores the global...
Sparse-to-dense interpolation for optical flow is a fundamental phase in the pipeline of most of the leading optical flow estimation algorithms. The current state-of-the-art method for interpolation, EpicFlow, is a local average method based on an edge aware geodesic distance. We propose a new data-driven sparse-to-dense interpolation algorithm based on a fully convolutional network. We draw inspiration...
In view of the characteristics of non-silicon flat micro parts in MEMS devices, such as small, light and thin, a vacuum adsorption microassembly system based on microvision was established. Through the research on the key assembly technologies of micro-gripper operation, moving control and micro vision positioning, a general scheme of automatic assembly for flat micro parts is put forward, which is...
This paper is an exhibition of graph matchingresults, in a classification context. We present Photo(Graph) Gallery, a platform that allows one to visually interpret graphmatchings. We aim at understanding the computed matchingsin order to improve the rates of graph classification. Preliminaryresults of the study performed on two data sets are also illustrated. Furthermore, a demonstrator of our proof-of-concept...
The paper introduces an approach that allows for detecting interaction with a graphical display in a rule-based declarative approach. It also introduces the possibility of connecting the interaction to a specific animation step to be performed. The two approaches were embedded into an animation system to aid in teaching algorithms.
In this paper, a novel line segment detection method based on probability map is proposed. Firstly, the local gradient information is used to estimate if a pixel belongs to a line segment and a probability map is produced. The probability map combines gradient orientation with gradient magnitude information and can provide candidate points for edge chain extraction. Secondly, these candidate points...
Nowadays, many cities and communes suffer from advertisements appearing on aesthetically inappropriate or illegal places. This contamination of public space is called visual pollution. The first step in the fight against visual pollution is localization of physical advertising media (e.g., billboards) as accurately as is possible. One of the ways is to use volunteer effort through outdoor crowdsourcing...
Recent work in computer graphics has explored the synthesis of indoor spaces with furniture, accessories, and other layout items. In this work, we bridge the gap between the physical and virtual worlds: Given an input image of an interior or exterior space, and a general user specification of the desired furnishings and layout constraints, our method automatically furnishes the scene with a realistic...
In almost all circumstances, a digital image with high spatial resolution (so called HR) is often pleasing however it is challenging to obtain due to overpriced cost on equipment devices. Consequently, Super Resolution Reconstruction (SRR) algorithm, which espouses algebraic formulation to obtain HR with reasonable cost, has been one of the most compelling research fields in Computer Vision (CV) and...
This paper explores the interactions between environmental conditions and edge detector performance for use as a critical function for detect and avoidance (DAA) operations in the unmanned aerial systems (UAS) industry. The goal of this study was to establish the best edge detection scheme for sunny, low light, cloudy, and foggy conditions. A laboratory test chamber was developed to simulate these...
Vibration acceleration signals of mechanical equipment have complicated spectrum structures. It is very difficult to extract the state information from acceleration spectrums by a simple and effective algorithm. In this paper, a visualization method for spectrum analysis of vibration acceleration signals is proposed. First, the spectrums of vibration acceleration signals are automatic segmented and...
Nowadays, HOG (Histogram of Gradient) feature is extracted from the objects and using it in the classification tasks among the many visual application systems such as object tracking, action recognition and automated video surveillance. Most techniques of extraction HOG feature are based on cells and blocks. Although the HOG feature on cell and block are being robust for current visual systems, the...
The paper deals with the development of a system for automatic weld recognition using new information technologies based on cloud computing and single-board computer in the context of Industry 4.0. The proposed system is based on a visual system for weld recognition, and a neural network based on cloud computing for real-time weld evaluation, both implemented on a single-board low-cost computer. The...
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