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WISDOM is an international initiative to deploy large-scale in-silico docking on a public grid infrastructure in an attempt to find potential drugs against neglected or emerging diseases such as Malaria and Avian Flu. Within the framework of the WISDOM initiative, large-scale deployments of in silico docking have been done on production grid infrastructures, demonstrating the relevance of large scale...
This paper presents the evaluation of Virtual Tembaga Ordering System (VTOS) that focused on interactivity in 3D product using Virtual Reality Modeling Language (VRML). VTOS was developed using PHP language with the integration of VRML capabilities in order to adapt real shopping experience for users while examining the product before purchase. Users/customers have the chance to view the 3D object...
This paper represents a framework for multi-class vehicle type identification based on several geometrical parameters. The system of identification of object must thus have a very great adaptability. We represent a system of identification of the type (model) of vehicles per vision. Several geometrical parameters (distance, surface, ratio ...) of decision, on bases of images taken in real conditions,...
A collection of slides from the authors' conference is given. Topics include NCSU design kit user guide, Verilog memory model, and lessons learned in assembling the reticle.
In recent years, the demand for a content-based 3D model retrieval system becomes an important issue. In this paper, the cylindrical projection descriptor (CPD) will be proposed for 3D model retrieval. To derive better retrieval results, the CPD will be combined with the radial distance descriptor (RDD). The experiments are conducted on the Princeton Shape Benchmark (PSB) database. Experiment results...
Power delivery network (PDN) design is already a challenging problem for single die designs using advanced process technologies. For systems created using stacked dies with TSVs, several additional issues that affect power delivery and reliability have to be addressed. In stacked die configuration, the dies higher up in the stack-up experience additional drop and noise in their power supply as it...
Data representation, matching algorithm and similarity measure are the main concern in protein structure matching. The above three points are considered in the implementation of Bipartite Graph Matching with Reference Frame algorithm (BGMRF). In BGMRF, the tertiary structures of protein Cα backbone are defined in reference frames representation. The matching vectors generated from the reference frames...
Online business is growing rapidly for small sized companies in retail industry, but the small companies' online manufacturing services are less developed. The main reason is that the manufacturing process is very complex. And there are a lot of manufacturing parameters to be chosen. Before the manufacturing process, a deep communication between the client and the manufacturing engineers is necessary...
When depicting both virtual and physical worlds, the viewer's impression of presence in these worlds is strongly linked to camera motion. Plausible and artist-controlled camera movement can substantially increase scene immersion. While physical camera motion exhibits subtle details of position, rotation, and acceleration, these details are often missing for virtual camera motion. In this work, we...
Dental cast models along with dental identification data have been extensively applied in cephalometric analysis and dental identification. However, the lack of database to handle both dental cast models along with dental identification data has prevent the researchers and dentists from making an access into the dental information for further dental researches. The solution is to create the online...
Taking the development of an oil depot training system for instance, the key technologies and development process of the system are described in this paper. Firstly, we begin with the background and significance in the research subject, and then we expound the overall structure and functions of the system and design processes. Secondly, we lay special stress on analyzing the database design, including...
We have designed and implemented a 3D virtual world based on the Co-Space concept encompasses the Youth Olympic Village (YOV) and several sports competition venues. It is a massively multiplayer online (MMO) virtual world built according to the actual, physical locations of the YOV and sports competition venues. On top of that, the Co-Space is being populated with human-like avatars, which are created...
In this paper, a novel framework for 3D face recognition based on depth information, is proposed. The core of our framework is Spectral Regression Kernel Discriminate Analysis (SRKDA), a method for utilizing a reproducing kernel Hubert space (RKHS) into which data points are mapped. In order to overcome facial expression variation, we first utilize curvature information projected onto the moving least-squares...
3D images provide several advantages over 2D images for face recognition, especially when considering expression variations. In this paper, a novel framework is proposed for 3D-based face recognition. The key idea in the proposed algorithm is a correlative feature representation of the facial surface, by what is called 3D Local Binary Patterns (3D LBP), which encode relationships in neighboring mesh...
The tree structure is introduced to specify block-oriented decomposition of database images. These decomposition structures offer a fundamental data model for specifying image content in large image databases.
Reconstruction of a 3D face from a single 2D face image can be substantially useful in many areas such as security, forensic, 3D animation, and motion capture. Most 3D face reconstruction techniques require multiple 2D face images taken at different views in order to estimate the depth of each face component which is one of the most crucial parameters in 3D face reconstruction. We propose a new method...
This paper describes a topological SLAM system using a purely vision-based approach. This robot utilizes a GPU-based omnidirectional catadioptric stereovision system to perceive and plan its path in the environment. Subsequently, the omnidirectional images generated are used to incrementally build a database of image signatures based on the standard 2D Haar Wavelet decomposition. In order to maintain...
We study two important problems in the area of robot grasping: i) the methodology and representations for grasp selection on known and unknown objects, and ii) learning from experience for grasping of similar objects. The core part of the paper is the study of different representations necessary for implementing grasping tasks on objects of different complexity. We show how to select a grasp satisfying...
Most quality models for stereoscopic presentations are dedicated to measuring quality degradation caused by compression artefacts. However, non-compression distortions induced during acquisition and presentation usually have significant influence on 3D viewing experience. In this paper, we propose an objective metric for viewing experience assessment by taking camera baseline and binocular distortion...
A novel system for 3D face recognition is presented in this paper. Firstly, we reduce the noise and move spikes from all the 3D faces. Secondly, we use Iterative Closet Point (ICP) to align all 3D face with the first person, and then for each face, we find the nose tip. Once the nose tip is successfully found, we crop a region, which is defined by a sphere radius of 100 mm centered at the nose tip...
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