The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Travel independently is one of the core skills required for children with intellectual disability to lead an independent life. Virtual reality based travel training system with natural interaction could help them to practice their travel skill in a safe environment without supervision. Developing real-time travel training system is a challenging work due to inherent complexity of 3D traffic simulation...
In this paper, based on the virtual scene images generated by the Unity3D engine, a target tracking realization method in UAV(Unmanned Aerial Vehicle) simulation training system is proposed. To realize the target tracking steadily, the LOS(line of sight) tracking model utilizing the target pixel offset in the consecutive frame image and the velocity tracking model are established. Meanwhile, a digital...
In this paper, we proposed a new 3D face reconstruction approach to reconstruct the 3D face from a single 2D image with arbitrary pose. The proposed approach enhanced the 3D morphable model by introducing a new local face shape constraint in another space. Then, the face can be constrained in double spaces: the global face shape space and the local face structure space. The advantages of the proposed...
Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance on the task of 2D pose estimation from a single image, by training on images with 2D annotations collected by crowd sourcing. This suggests that similar success could be achieved for direct estimation of 3D poses. However, 3D...
This paper presents a method for 6D pose estimation from a single RGB image for complex texture-less objects. This class of objects are common in any environment but still challenging to deal with. This is due to the fact that the distribution of surface brightness makes difficult to compute interest points or appearance-based descriptors. Here we propose a novel part-based method using an efficient...
Traditional training of communication network has many problems such as single means, old method, and formal machine. Aiming at this problem, a distributed communication network simulation training system is designed from architecture and function. The system relies on HLA architecture, supports real-time communication channel simulation, network simulation, electromagnetic simulation and geographic...
This paper presents a simulation-based safety training simulator for robot assisted surgery. While adverse events occur rarely during training, they could be fatal to the patients if they happen during real surgical procedures and are not handled properly by the surgical team. In this work we propose a hardware-in-the-loop robotic surgery simulator with high fidelity of the robot motion in a simulated...
We present the novel kinematics, workspace characterization, functional prototype and impedance control of a six degrees of freedom haptic interface designed to train surgeons for laparoscopic procedures, through virtual reality simulations. The parallel kinematics of the device is constructed by connecting a 3RRP planar parallel mechanism to a linearly actuated modified delta mechanism with a connecting...
The objective of this work is to estimate 3D human pose from a single RGB image. Extracting image representations which incorporate both spatial relation of body parts and their relative depth plays an essential role in accurate3D pose reconstruction. In this paper, for the first time, we show that camera viewpoint in combination to 2D joint locations significantly improves 3D pose accuracy without...
We examine the task of point-level object segmentation in outdoor urban LIDAR scans. A key challenge in this area is the problem of missing points in the scans due to technical limitations of the LIDAR sensors. Our core contributions are demonstrating the benefit of reframing the segmentation task over the scan acquisition grid as opposed to considering only the acquired 3D point cloud and developing...
Customs continue to use a wide range of technology in protecting against terrorism and the movement of illicit trade and prohibited imports. The throughput of scanned vehicles and cargo increases and just keeps on growing. Therefore, the need of automated algorithms to help screening officers in inspection, examination or surveillance of vehicles and containers is crucial. In this context, the successful...
Analyzed the basic requirements for engineering personnel in the modern hi-tech mechanical production. Based the necessity of the integration of multimedia technologies in the educational process to significantly improve its effectiveness.
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 paper has analyzed the current methods for developing automated adaptive learning systems. The authors have proposed the adaptive learning system based on the author's method of the synthesis of a learning path and the set of main models (models of subject domain, designer' profile, test) for training designers. The paper has presented the problems relating to the development of learning system...
Before conduct data collecting, enumerators take a course and conduct simulation in the classroom. However, learning in the classroom often doesn't make the enumerators understand perfectly. To solve this problem, we can use 3D virtual game based training as a solution. During the training, enumerators will use 3D virtual learning environment to get more experience, engagement, and expertise. For...
One of the biggest challenges of RGB-D posture tracking is separating appendages such as briefcases, trolleys, and backpacks from the human body. Markerless motion tracking relies on segmenting each depth frame to a finite set of body parts. This is achieved via supervised learning by assigning each pixel to a certain body part. The training image set for the supervised learning are usually synthesised...
Virtual reality technology is a new way for people to visualize and interact with complex data through computers. Virtual reality technology based on simulation software is relatively mature. However, the simulation process is more complicated and the simulation of the interactivity cannot be satisfactory. Immersive virtual objects in the virtual scene are more interactive, and more in line with the...
We present an object matching method that employs matches of local graphs of keypoints, called keygraphs, instead of simple keypoint matches. For a keygraph match to be valid, vertex (keypoint) descriptors must be similar and both keygraphs must satisfy structural properties concerning keypoints orientation, scale, relative position and cyclic ordering; as a result, the large majority of initial incorrect...
Computer simulation of surgical environments is always oversimplified in terms of physical behavior due to the complexity of the tissues and interactions involved, which cannot be fully simulated in real time. To better manage this trade-off between efficiency and effectiveness, we present a hybrid and adaptive environment that combines a set of methods to achieve higher accuracy and performance....
Information technology tools are gaining increasing importance in surgical skill training and assessment, due to the need of objective and repeatable measurement of performance. This is especially true for Minimally Invasive Surgery (MIS), where complex tool manipulation should be mastered employing artificial phantoms and simulators — either in the case of manual or robotic laparoscopy. In this paper,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.