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Augmented Reality is an emerging technology and the applications of technology are still not fully unveiled. This paper explores a new application of augmented reality for a new direction in educational book publishing, which aims to bring interactive learning experience to life. The project takes printed images on book to the next level by applying Augmented Reality technology to provide a unique...
How to measure the perceptual quality of depth information in stereoscopic natural images, especially images undergoing different types of symmetric and asymmetric distortions, is a fundamentally important issue that is not well understood. In this paper, we present two of our recent subjective studies on depth quality. The first one follows the absolute category rating (ACR) protocol that is widely...
The paper analyzes methods and techniques of the information system design. The authors suggest new ways and mechanisms of information system development based on the interaction of the augmented reality technology and game engines. The software structural model takes into account the needs of a wide range of users supporting their training. The information and logical model of the system shows data...
Accurate modelling of the interaural time difference (ITD) is crucial for rendering localised sound. Parametric models allow personalising ITDs using anthropometrics. However, the mapping between anthropometric features and model parameters is not straightforward. Here, we propose deriving personalised ITD model parameters from a sphere fitted to a 3-D head scan. The proposed ITD personalisation is...
Several scientific domains operate on mesh data structures. Computations on meshes share a set of basic abstractions which relates to topological and geometric structure of meshes. Due to the complexity of modeling and querying meshes, the database community has neglected the need for a dedicated mesh database and in particular a high-level mesh query language. Currently, such computations is done...
The approach of this study which is the third step of the Perfect project is based on the ERTMS simulation framework compliant with the official European specifications. The aim of this study is triple.
3D model retrieval is a very important research topic both in computer vision and computer graphics field. Most previous work is focusing on defining robust shape descriptor in order to get better retrieving accuracy. Unlike these work, we propose distance filter to improve the retrieving accuracy when using the existing shape descriptors. The main idea of distance filter is to eliminate distance...
Chinese character inscription is an important part of Chinese culture. With China's increasing efforts to protect traditional culture, more and more Chinese character inscription images are captured and stored in the digital culture museum. How to search a Chinese character is becoming an interesting research topic. The most important thing for searching an image is to define the similarity between...
Aiming at the problem that existing virtual assembly interfaces lack scenario analysis capabilities and can't effectively perceive user's intentions, the scene knowledge model and the user knowledge model are proposed in this paper. We establish scene knowledge base and user knowledge database according to the scene knowledge model and the user knowledge model respectively. To solve the ambiguity...
This paper presents different approaches to extract information from large databases in order to process the gained information and find appropriate clusters. Starting from an unsorted collection of varying engineering parts in CAD format, the whole database will be automatically transformed to the non-proprietary IGES-format. Aided by Python-programmed macros controlling diverse measuring functions,...
In this paper, we tackle the problem of face classification and verification. We present a novel face representation method based on a Bayesian network. The model captures dependencies between 2D salient facial regions and the full 3D geometrical model of the face, which makes it robust to pose variations, and useable in unconstrained environments. We present experiments on the challenging databases...
In this paper, we propose a novel online multiobject learning and detection algorithm. From single seed images of the target objects, our algorithm detects these objects in the input sequence, and incrementally updates the databases with the detection results. Reasonably sized databases are maintained as graphs of the registered images, while new views of the objects are added as the detection proceeds...
The present challenge to preserve cultural heritage, dealing with the rise of new technological advances in terms of spatial data gathering, led to the massive surge of digital content and more than anything, to 3D models. These models, supporting analysis and valuation in archeology, architecture, cultural heritage and furniture design, are often gathered within huge databases. The core question...
To investigate the relationship between trading volume and prices volatility in second-hand ship total markets, bulk ship, tanker and containership market, regression, VAR and EGARCH model are constructed to analyze the contemporaneous relationships, lead-lag relationships and returns volatility-volume dynamics. The positive contemporaneous relationships are identified in the four second-ship market,...
In this paper, a respiratory training system geared to speech training for hearing-impaired children is researched, which is mainly used to solve breath-related issues occurring during speech training process. The system comprises of a translucent respiratory system model with interactive function and a respiratory training measurement system based on multi-sensor. Hearing-impaired children can use...
This article focuses on the problem of modifing the standard face identification approach for use in small-scale social dynamic environments, by focusing on adaptability rather than robustness. A design of adaptive face identification system is presented, along with the employed methods of online learning. The problem of ensuing bias-variance dilemma of an adaptive system is described and solved....
In this paper, we propose a modularized architecture for a robot arm object fetching system integrated with 3D CAD-model based object recognition system that can cope with objects in random types and poses. The interface and the core functionality of each module in the architecture are discussed in detail. Implementation of each module is also conducted. Furthermore, the assumptions and the working...
In this paper, we address the problem of inpainting in 3D digital models with large holes. The missing region inference problem is solved with a dictionary learning-based method that harnesses a geometric prior derived from a single self-similar structure and online depth databases. The underlying surface is recovered by adaptively propagating local 3D surface smoothness from around the boundary of...
In order to handle pose variation problem in face recognition, Generic Elastic Models (GEMs) was proposed as a low computational and efficient 3D face modeling method, which generates 3D face model from single frontal face image by elastically deforming a generic 3D depth map based on 2D observations of the input face image. In this paper, we extend GEMs to Multi-Depth GEMs (MD-GEMs) by utilizing...
Reconstructing 3D face models from multiple uncalibrated 2D face images is usually done by using a single reference 3D face model or some gender/ethnicity-specific 3D face models. However, different persons, even those of the same gender or ethnicity, usually have significantly different faces in terms of their overall appearance, which forms the base of person recognition using faces. Consequently,...
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