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This paper assesses the accuracy with which a user's position can be computed using skyline information, that is, the shape of the sky observed looking upward from the user's location. Whereas this concept has been proposed in the past using wide field-of-view (i.e., fisheye) cameras, this study uses a narrower field-of-view camera that is more commonly available on mobile devices. For testing purposes,...
In this paper, extraction of ship signatures from silhouette images of three-dimensional ship models and ship recognition from optical images are investigated. First of all, from the silhouette images of 3-dimensional ship models, with the help of feature vectors, ship signatures are created. Using three-dimensional ship models gets rid of the difficulty of obtaining real videos for the database and...
This paper presents a novel 3D object retrieval system from a single query image. A 3D object retrieval system is one of the most difficult systems to archive. It will be much easier if users can input 3D model of the object and use it as a query to the retrieval system. Unfortunately, creating a 3D model from an object is not an easy task. Usually a 2D rendered image of the object (photos, sketches,...
This paper proposed about comparison of the animal recognition processed on the real world objects and the modeled 3D objects. The object classification consists of the three main steps - feature extraction, training classifier and image evaluation. Feature description is based on locale visual descriptors like SIFT or SURF. Support Vector Machine (SVM) in combination with the bags of visual keypoints...
The traditional pure software emulation mode and sandbox mode simulation systems can only analog computer interlock operation, lacking simulation of field devices, and cost a lot in installation and maintenance. To solve this problem, we introduce a new network computer interlocking simulation system, which is designed based on B/S mode, ASP.NET and Web 3D technology. Being put into practice, it proves...
Gait has become a popular trait for biometric recognition especially in surveillance environments due to its advantage of being captured without active user participation. However the gait description obtained in such scenarios depends on the observed walking direction of the user. Hence, if the user�s walking direction is unknown, comparison against a previously prepared database can be rendered...
We propose a robust method for 3D face recognition using 3D to 2D modeling and facial curvatures detection. The 3D-2D algorithm permits to transform 3D images into 3D triangular mesh, then the mesh model is deformed and fitted to the 2D space in order to obtain a 2D smoother mesh. Then, we apply Gabor wavelets to the deformed model in order to exploit surface curves in the detection of salient face...
Based on the Unity3D multi platform to establish a three-dimensional virtual digital campus system, has a strong practical. Using the Unity3D engine to realize the virtual digital campus scene design, access and interactive roaming and other functions, the need to achieve a combination of various simulation effects. The 3D Virtual Digital Campus Based on Unity3D development system has high efficiency...
Application of computer simulation techniques in traffic reconstruction will contribute to the sustainable development of protection of pedestrians and driver. In this paper, introducing National Automobile Accident In-Depth Investigation System, Nais. The proposed database establishment could handle data while cases accumulate to a certain degree. Based on its strict workflow and thought process,...
Despite the growing research interest in 2.5D and 3D video face processing, 3D facial videos are actually scarcely available. This work introduces a new open source tool, named FaceGrabber, for capturing human faces using Microsoft's Kinect 2.0. FaceGrabber permits the concurrent recording of various formats, including the raw 2D and 2.5D video streams, 3D point clouds and the 3D registered face model...
This paper presents an educational support system of physical motion with body motion based on three-dimensional biomechanism evaluation. The difficult point of the physical motion with body motion is that human cannot attain the perfect copy or imitation of the reference skill motion because each skeleton size, functions and numbers of motor of human are different, we call it the imperfect imitation...
The process of flying sensor networks (FSN) construction is quite complicated. To date, there has been developed a number of methods and algorithms of solving separate problems arising in the process of FSN construction, but the process itself is not formalized as a rigid set of rules, algorithms and standards following which would guarantee construction of a FSN satisfying the designer's requirements...
Key markets, such as automotive, wearables, and internet-of-things (IoT) are spearheading the drive to realize more sophisticated packaging technologies that include the growing use of interposers and 3D ICs. With the goal of improving processing performance, increasing clock speeds, and reducing power consumption, design teams are challenged with ensuring signal quality, power delivery, and thermal...
3D face clones can be used in many areas such as Human-Computer Interaction and as preprocessing in applications, such as emotion analysis. However, such clones should be structured and the model facial shape accurately while keeping the attributes of individuals. A structured mesh is a mesh with a known semantic and topological structure. We use a face model designed from a database of 3D face examples...
This paper presents an educational support system of skill succession with body motion based on 3D (three-dimensional) biomechanics evaluation. Skill succession using body motion seems different because human cannot attain the perfect copy or imitation of the reference skill motion. We call it the imperfect imitation problem. Then, we propose the 3D skeleton motion viewer and e-learning education...
We present a novel approach to recovering the qualitative 3-D part structure from a single 2-D image. We do not assume any knowledge of the objects contained in the scene, but rather assume that they are composed from a user-defined vocabulary of qualitative 3-D volumetric part categories input to the system. Given a set of 2-D part hypotheses recovered from an image, representing projections of the...
Extracting base mesh for different 3D faces is a crucial and fundamental problem in 3D facial correspondence research. Establishing 3D facial correspondence can contribute to many computer graphics tasks and applications such as statistical 3D face model building, facial animation, and facial texture transferring, etc, but it suffers from the fact that different 3D faces usually have inconsistent...
Visual-based 3D model retrieval presents great potential, for its broad application prospects and relatively high accuracy. A branch of visual-based methods utilizes scale invariant feature transform (SIFT) on 2D rendered images of a 3D model viewed from regularly sampled locations on a sphere, and then the bag-of-words framework is employed to improve the retrieval precision. However, in existing...
In this paper, we propose a CAD-based 6-DOF pose estimation design for random bin-picking of multiple different objects using a Kinect RGB-D sensor. 3D CAD models of objects are constructed via a virtual camera, which generates a point cloud database for object recognition and pose estimation. A voxel grid filter is suggested to reduce the number of 3D point cloud of objects for reducing computing...
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