Catálogo de publicaciones - libros

In this paper, we consider a new shape representation for 3D object, called multi-resolution Multi-Shell Extended Gaussian Image (MSEGI) which eliminates the major drawback of EGI for not containing any direct distance information. MSEGI decomposes a 3D mesh model into multi-concentric shells by the normal distance of the outward surfaces to the origin, and captures the surface area distribution of a 3D model with surface orientation in each concentric shell. Then this distribution function is transformed to spherical harmonic coefficients which can provide multi-resolution shape descriptions by adopting different dimensions. Experimental results based on the public Princeton Shape Benchmark (PSB) dataset of 3D models show that the MSEGI significantly improves EGI, and outperforms CEGI and some popular shape descriptors.

A can be defined as an artificial tool that sees our physical world. The purpose of this paper is to show a novel tool to design a 3D artificial vision system based on Resilient Neural Networks. Camera Calibration (CC) is a fundamental issue for Computational-Vision. Classical CC methods comprise of taking images of objects with known geometry, extracting the features of the objects from the images, and minimizing their 3D backprojection errors. In this paper, a novel implicit-CC model based on Resilient Neural Networks, CR, has been introduced. The CR is particularly useful for 3D reconstruction of the applications that do not require explicitly computation of physical camera parameters in addition to the expert knowledge. The CR supports intelligent-photogrammetry, photogrammetron. In order to evaluate the success of the proposed implicit-CC model, the 3D reconstruction performance of the CR has been compared with two different well-known implementations of the (DLT). The proposed method is also robust sufficiently for dealing with different cameras because it is capable of fusion of the image coordinates sourced from different cameras once the neural network has been trained.

In digital holography a CCD camera records optically generated holograms which is then reconstructed numerically by a calculation of scalar diffraction in the Fresnel approximation. The digital photography facilitates real time transmission of the message via traditional communication methods. In this paper the principle of digital holography and its application to the 3D image encryption-decryption are reviewed. The experimental results of firearm identification recording using digital holography and their numerical reconstruction are presented.

The Moon is Earth’s only natural satellite. The Moon is becoming a prime destination for efforts by many nations seeking to expand into space. The project of China’s lunar exploration, Chang’E Project, was approved to set up, opening the curtain of China’s deep space exploration. In this study, a GIS-based lunar exploration information system in China is first built before the launch of Chang’E -1. By the system, the lunar exploration information in the past and near future can be managed and analyzed. And the client can browse some lunar exploration results in the internet, such as Apollo landing sites, and lunar craters. Thus, it is available to integrate and compare the lunar exploration results of China to the past lunar exploration under the system.

In response to the need of using electronic design data directly in construction management applications, many CAD developers have started implementing semantic data models in their CAD products using industry foundation classes (IFCs). While helpful, these semantic CAD applications have limitations when used in actual construction practices. The case studies in the thesis indicated that: 1) the semantics of the current data model (IFC as an example) is not rich enough to cover the richer details of the real trade practices; 2) the current implementation of the semantic data model lacks the mechanism to provide multiple trades views at various detailed levels. This paper also provided suggestions for the future development of semantic data model of construction industry.

In this paper we propose a method for detection of the car license plates in 2D gray images. In this method we first estimate the density of vertical edges in the image. The regions with high density vertical edges are good candidates for license plates. In order to filter out clutter regions possessing similar feature in the edge density image, we design a match filter which models the license plate pattern. By applying the proposed filter on the edge density image followed by a thresholding procedure, the locations of license plate candidates are detected. We finally extract the boundary of license plate(s) using the morphological operations. The result of experiments on car images (taken under different imaging conditions especially complex scenes) confirms the ability of the method for license plate detection. As the complexity of the proposed algorithm is low, it is considerably fast.

Developing a spatial searching tool to enhance the search capabilities of large spatial repositories for Geographical Information System (GIS) update has attracted more and more attention. Typically, objects to be detected are represented by many local features or local parts. Testing images are processed by extracting local features which are then matched with the object’s model image. Most existing work that uses local features assumes that each of the local features is independent to each other. However, in many cases, this is not true. In this paper, a method of applying the local cooccurring patterns to disclose the cooccurring relationships between local features for object detection is presented. Features including colour features and edge-based shape features of the interested object are collected. To reveal the cooccurring patterns among multiple local features, a colour cooccurrence histogram is constructed and used to search objects of interest from target images. The method is demonstrated in detecting swimming pools from aerial images. Our experimental results show the feasibility of using this method for effectively reducing the labour work in finding man-made objects of interest from aerial images.

In our project on the design of intelligent applications for an office environment we focus on the coffee corner as it is the place in an office where professional and social interactions intermingle. In this article the user-centered design of tangible interfaces, i.e. i-Candies and i-Bowl, which have been used as input devices to access company information in a coffee corner, is described. The i-Candies and the i-Bowl illustrate how everyday objects can be part of a context-aware system. By picking up one of the i-Candies and placing it on the i-Bowl, the i-Candy controls which information is presented on the wall display in the coffee corner. In our evaluation, we found that the office workers not only were enticed to interact with the i-Candies, but also that the i-Candies provided mediums that stimulate sociability among office workers.

Geometric modelling and haptic rendering of textiles is an area of research in which interest has significantly increased over the last decade. A haptic representation is created by adding the physical properties of an object to its geometric configuration. While research has been conducted into geometric modelling of fabrics, current systems require textile data to be manually entered into the computer simulation by a technician. This study explores the possibility of automatic generation of geometric and haptic models of real world textile samples. The development of a scalable and generic methodology for geometric and haptic modelling of plain weave textiles made from wool yarn is reported. This system has been successfully implemented using a step-wise procedure. Initially, an image of the textile artefact is captured. Then the critical features of the image are extracted from the image and deployed in a finite element model. The geometric model is augmented by adding physical properties of the textile and developing the haptic model. Two different haptic rendering procedures are implemented based on Reachin Application Programming Interface 3.2 (API). The developed methodologies are described and results obtained are provided.

In this paper we introduce the design, implementation and evaluation of the Dynamic Visualization Toolkit (DyVT) to support complex dynamic social network visualization. Dynamic aspects of social networks such as spatiotemporal as well as personalized information can be visualized in a common toolkit. To that end, an XML-based target language DyVTML is an extension of existing schemata enabling expression, storage and interchange of rich animated social network data. With the language and the available tool support, even less-experienced users can visualize temporal data in animations and spatial data in maps and personalize it with icons and colors. The prototype is evaluated by the visualization of large mailing list data sets.