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More and more pedestrians own devices (as a smartphone) that integrate a wide array of low-cost sensors (camera, IMU, magnetometer and GNSS receiver). GNSS is usually used for pedestrian localization in urban environment, but signal suffers of an inaccuracy of several meters. In order to have a more accurate localization and improve pedestrian navigation and urban mobility, we present a method for...
Based on MCGS (Monitor and Control Generated System) software a training diagnosis system for a certain kind of equipment is designed and developed. Through analysis of the structure of the equipment composition and working principles of the process a two-dimensional simulation model is established. The model can achieve simple operation training. Using common equipment for fault modeling, a fault...
The Small Sample Size problem is a common issue in neuroimaging, where the number of features frequently surpass the number of samples, making generalization a difficult task and leading to inconsistent results. To overcome this problem, we have developed a new algorithm intended to generate a new set of functional images with similar characteristics to an original one, in our case, a subset of the...
This work describes the design, implementation and validation of a virtual interactive tour around the University of Quindo by using augmented reality and applying evaluation methods about usability and user-centered design with the aim of improving the user experience, together with the consistency of this tool in its usage; in this case, in the university campus.
In this paper, we proposed an efficient framework for depth estimation from a single 2D face image to apply in 3D face reconstruction. The proposed framework consists of three components. Firstly, we recover the corresponding 2D images from 3D face models of database, and the feature points of these images will be extracted to form the 2D-3D database. Secondly, the same feature points extraction steps...
Localizing the user from a feature database of a scene is a basic and necessary step for presentation of localized augmented reality (AR) content. Commonly such database depicts a single appearance of the scene, due to time and effort required to prepare it. To account for appearance changes under different lighting we propose to generate the feature database from a simulated appearance of the scene...
Appearance model is widely used for image description and demonstrates an impressive performance in object detection. However, most appearance models can not be applied to more freedom object in still image, especially when dealt with variant objects whose shapes are modified by warping, rotation, etc. In this article, a simple but effective method to build a regional rotation-invariant feature descriptor...
CNN has shown excellent performance on object recognition based on huge amount of real images. For training with synthetic data rendered from 3D models alone to reduce the workload of collecting real images, we propose a concatenated self-restraint learning structure lead by a triplet and softmax jointed loss function for object recognition. Locally connected auto encoder trained from rendered images...
Visual recognition and pose estimation of 3D industrial objects are challenging due to variations of geometric shapes from perspectives while lacking textures. This paper presents an approach to accurately recognizing industrial objects and estimating their poses based on an adaptive Bayesian framework with optimal feature selection and model-based point cloud matching. First, feature sets that provide...
Nowadays, the methods and tools of the 3D technology and human body modeling are developed rapidly, learning and analyzing 3D body scans will accelerate the development of 3D modeling. In this research, a novel algorithm using intersection views is proposed for retrieving 3D body scans. An Asian Female Body Scan (AFBS) database is established by analyzing various 3D body scan data at first, and then,...
According to the information management value of construction project based on Building Information Modeling up to now, a general structure of Building Information Modeling (BIM) based platform for life cycle information management is established and detailed implementations in construction projects are given. The general structure of BIM based information management platform is investigated in detail...
The vision and robotics communities have developed different methods for object pose estimation, all of which have their disadvantages and advantages. A popular method saves all possible object model images from different viewpoints and their 2D-to-3D correspondences in database off-line. Then local feature matching is applied between the current view and the model images in the database. For the...
Target image database is of great significance in SAR automatic target recognition (ATR). Recently, some convenient and low cost approaches of database simulation were proposed. However, the similarity between virtual SAR images obtained by these simulation approaches and real SAR images is still under study. To solve this problem, we will model the virtual target with three-dimensional (3D) modeling...
Extracting centerlines of coronary arteries is a challenging but important task in clinical applications of cardiac computed tomography angiography (CTA). In this paper, we propose an inertia-driven path tracking method based on the directional minimal path (DMP) to automatically extract the coronary centerlines. In DMP, the path tracing is divided into a number of segments. The proposed method adopts...
We propose an approach to produce computer generated holograms (CGH) from RGBD data. Being able to produce CGH from RGBD images simplifies the recording process and results in more realistic reconstruction. A multilayer wavefront recording plane method is described for fast wave propagation, and it is completed with a two-step occlusion culling process to preserve the self-occlusion effect. The approach...
In this paper, we propose an effective method to recognize human actions. Combined with the relationship between 3D skeleton model of joint position and particle group optimization algorithm is used to optimize the support vector machine (PSO-SVM) and depth through the Kinect sensor to obtain human 3D skeleton model, each skeletal model with 20 joints and 19 joints, the relative geometry between various...
Recent, many people are working in the indoor space and a large and complex buildings are being increased. And indoor location-based service is required based on the exact position of the user, a variety of indoor positioning technologies have been researched. In this paper, we propose a design for positioning DB updating method for the image based positioning system using Google project tango device.
Recently, with the development of graphics devices and the widely use of 3D geometrical sensors, the quantity of multimedia data including 3D model data has become increasing. Therefore, the technological needs for searching those data to create multimedia contents are expanding. In this paper, the authors propose a 3D model data retrieval system using KAZE image feature that accepts 2D images as...
In this paper, we present a large-scale database consisting of low cost Kinect 3D face videos, namely Lock3DFace, for 3D face analysis, particularly for 3D Face Recognition (FR). To the best of our knowledge, Lock3DFace is currently the largest low cost 3D face database for public academic use. The 3D samples are highly noisy and contain a diversity of variations in expression, pose, occlusion, time...
A 3D object retrieval system is one of the most difficult system to archive. If 3D model can be used as a query to the retrieval system, it will become less difficult. Unfortunately, creating 3D model is not a trivial task. Usually, users have only 2D images (photos, sketches, etc.) as query images for the retrieval system. In the past, the query images will then have to be compared with every image...
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