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The landscape plant as spatial element used in the construction of parametric configuration system is a fresh concept and technical innovation. This System is aimed to help designers without botany knowledge to finish some simple plants arrangements. Through the construction of plant parametric configuration system and some typical trees and shrubs parametric database, we use examples to illustrate...
Augmented Reality (AR) scenarios aim to provide realistic blending between real world and virtual objects. A key factor for realistic AR is thus a correct illumination simulation. This consists in estimating the characteristics of real light sources and use them to model virtual lighting. In this paper, we briefly introduce a novel method for recovering both 3D position and intensity of multiple light...
In this paper, we describe the application TaRDIS, a visual analytics system for spatial and temporal data designed for the needs of archaeo-related disciplines that supports domain experts in analyzing their data. The temporal data is visualized in form of an interactive Harris Matrix that illustrates the temporal position of the layers. The 2D and 3D visualization sketches the spatial position of...
Retrieving images depend of specific features In Content Based Image Retrieval (CBIR). A common approach is to divide retrieval process into two stages; the first one is based on high-level features followed by the second that is based on low-level features. We focus primarily on medical images, and follow the above approach but make the following two basic contributions: a) introduce the gray cluster...
We present two artistically-relevant algorithms to aid in the quantification of artistic style, the Discrete Tonal Measure (DTM) and Discrete Variational Measure (DVM). These quantitative features can provide clues to the artistic elements that enable art scholars to categorize works as belonging to different artistic styles. We also introduce two new datasets for analysis of artistic style: one based...
In recent years, block-based programming languages have been employed as learning tools to help students starting out with programming. How we design the layout of the available blocks likely impacts the success of the student. In this study, we compare student performance in three conditions consisting of different layouts of block categories in a block-based language: a grouping based on computer...
The quality of life of people is increasing together with the developing technologies. One of the most important factors affecting daily life is smart cities. The quality of life of people is positively affected by emerging this concept in recent years. Autonomous vehicles confront with the term of the smart city and have become even more popular in recent years. In this study, a system of traffic...
Nowadays, merchandising is one of the significant method which allows to increase the sales. Therefore, activities such as monitoring the number of products on the shelves, completing the missing products and matching the planogram continuously have become important. An autonomous system is needed to automate operations such as product or brand recognition, stock tracking and planogram matching. In...
Augmented Reality (AR) based applications have existed for some time; however, their true potential in digital marketing remains unexploited. To bridge this gap we create a novel consumer targeting system. First, we analyze consumer interactions on AR-based retail apps to identify her preferred purchase viewpoint during the session. We then target the consumer through a personalized catalog, created...
Transparency of optical see-through head-mounted displays (OST-HMDs) makes them suffer from background blending. Existing works have tackled this problem by color correction, but have not addressed how to estimate the background color accurately. In this paper, we apply colorimetric estimation to the subtraction compensation for background blending. Moreover, we propose an optimization framework that...
Augmented reality (AR) systems allow enriching the environment by supportive and useful virtual data. However, the human information processing capacity is limited. Thus, additional information may distract attention from the environment to the virtual data, resulting in a lower perception of relevant real-world information. In this paper we evaluate whether this effect depends on the frame of reference...
The human brain is able to rapidly understand scenes through the recognition of their composing elements and comprehension of the role that each of them plays. This process, related to human perception, impacts in what people care when they see an image and the priority they give to each element. The idea of priority, also referred as importance, is based on biological features of perception and social...
The frequent occurrence of road congestion and traffic accidents has affected people's travel efficiency and travel safety. Traffic sign recognition has become one of the key research objects in intelligent transportation system. This paper studies the identification of road traffic signs based on video images. First of all, collected image will be image preprocessing with image reduction, brightness...
Potato as the fourth largest staple food in China, The external defect detection directly affects the industrialization of potato and deep processing. As the currently domestic testing method are mostly based on specific circumstances, specific light, which does not satisfy the testing requirements of actual environment. Therefore, this paper presents a non-destructive method for the study of green,...
We report on the results of the first visual search and rating study (N60) evaluating human gaze when assessing the realism of image composites. The effects of object identity knowledge and mismatched feature type on observers' gaze and subjective realism scores are studied. Gaze metrics used include: fixation count, fixation duration, time and duration of first fixation on target object, as well...
The purpose of the paper is to add solutions to the recognition and transport of minerals copper mining in southern Ecuador, using tools that have MATLAB® and LabVIEW®. The algorithm developed in MATLAB® using the principles of image processing to segment and filters the same. Finally applies the theory of neuro-fuzzy for the recognition of the presence of copper in a rock that is modeled. Is important...
In this paper, we propose block diagonal movement technique to classify shots on video frame sequence. Both RGB color pixel values and Hue value are employed in the proposed technique. Since Key frames are essential to analysis on large amount of video sequence databases this paper uses surveillance video files to extract some meaningful information key frames from long video sequences. This purpose...
Smart human tracking systems based on surveillance camera are very popular recently. For example, retailers and museums use head counting to analyze the consumer statistics. This paper proposed an approach to detect multiple heads, which can be applied in smart human tracking system. The computing resource of this kind of applications is so high that it is not applicable in embedded platforms. So,...
Recently, various objective image quality assessment (IQA) metrics have been proposed for measuring the quality of a captured image. Moreover, IQA databases have been made available to enable researchers develop and test IQA metrics. For instance, the TID2013 database was used in the experiments conducted in this study. It contains many test images obtained from 25 reference images, each having 24...
In the person re-identification across multiple camera research field, attributes of the pedestrian are important cues to differentiate the appearance of each identity. In this work, ten types of attributes are considered as defined in the DukeMTMC-attribute dataset. A custom deep network architecture is proposed to perform the identification process. Furthermore, experiments were carried out to assess...
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