4 resultados para Depth Estimation,Deep Learning,Disparity Estimation,Computer Vision,Stereo Vision

em Bulgarian Digital Mathematics Library at IMI-BAS


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E-learning means learning via electronic means and is therefore an all-embracing term covering learning via an electronic device. The "expectations" and "realities" for each of the delivery mechanisms within the electronic arena vary greatly for not just the learners themselves, but also the site providers. Because of this, each of these learning systems has vastly different design principles, which is not always understood by those unfamiliar with technology. What is appropriate for a CD-ROM off-line system is generally inappropriate for an on- line internet system. So when designing an e-learning system it is important to understand how the information is to be accessed by the learner. This paper will identify and suggest some ways to avoid e-learning's pitfalls and reap its rewards.

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The various questions of creation of integrated development environment for computer training systems are considered in the given paper. The information technologies that can be used for creation of the integrated development environment are described. The different didactic aspects of realization of such systems are analyzed. The ways to improve the efficiency and quality of learning process with computer training systems for distance education are pointed.

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In this paper a novel method for an application of digital image processing, Edge Detection is developed. The contemporary Fuzzy logic, a key concept of artificial intelligence helps to implement the fuzzy relative pixel value algorithms and helps to find and highlight all the edges associated with an image by checking the relative pixel values and thus provides an algorithm to abridge the concepts of digital image processing and artificial intelligence. Exhaustive scanning of an image using the windowing technique takes place which is subjected to a set of fuzzy conditions for the comparison of pixel values with adjacent pixels to check the pixel magnitude gradient in the window. After the testing of fuzzy conditions the appropriate values are allocated to the pixels in the window under testing to provide an image highlighted with all the associated edges.

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В статье описываются вопросы интеграции системы моделирования пользователя и адаптивной обучающей системы. Основу адаптивной обучающей системы составляет технология LOM, реализующая управление обучающими объектами и поддержанная инструментом VITA-II. Ключевой компонентой процесса адаптации является модель обучающегося. Построение модели производится при помощи инструмента моделирования пользователя Trivium. Задача заключается в интеграции двух средств поддержания адаптивного дистанционного обучения. Кратко рассматриваются архитектуры инструментов VITA-II и Trivium. Рассматривается схема их взаимодействия и возможности интеграции.