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The process required to track cellular structures is a key task in the study of cell migration. This allows the accurate estimation of motility indicators that help in the understanding of mechanisms behind various biological processes. This paper reports a particle-based fully automatic tracking framework that is able to quantify the motility of living cells in time-lapse images. Contrary to the...
Compared with 2D texture method, solid texturing can achieve better realistic results. A novel solid texture synthesis method based on 2D exemplar and procedural noise is presented. First, the movement path for exemplar in 3D space is designed using procedural noise. Next, all the pixels of exemplar are used to color the 3D space through their trajectory so that the solid texture is synthesized. Experimental...
A novel system has been developed which combines robotic therapy with electrical stimulation (ES) for upper limb stroke rehabilitation. This technology, termed SAIL: Stimulation Assistance through Iterative Learning, employs advanced model-based iterative learning control (ILC) algorithms to precisely assist participant's completion of 3D tracking tasks with their impaired arm. Data is reported from...
In this paper, we propose the concept of Voronoi-based potentially visible set, called V\text underscore PVS, to facilitate the visibility computation. Given a polygon $P$, we first compute the Voronoi diagram of $P$, i.e., $\text{VD}(P)$. Then we refine $\text{VD}(P)$ into $\text{VD}(P')$, so that $\text{VD}(P')$ only contains triangular or quadrangular cells. For each Voronoi edge, a V\text underscore...
In this paper we present a technique to generate highly accurate reconstructions of underwater structures by employing bundle adjustment on visual features, rather than relying on a filtering approach using navigational sensor data alone. This system improves upon previous work where an extended information filter was used to estimate the vehicle trajectory. This filtering technique, while very efficient,...
The impacts of various control errors and measurement errors of airborne LiDAR on laser point cloud were studied. Firstly, the principle of the Palmer-scan airborne LiDAR was analyzed. Then the transformation formulas, from the control errors and measurement errors of various parameters, such as attitude angles, flight trajectory and scan angle in airborne LiDAR system, to the three-dimensional (3D)...
This paper presents a 3D (three-dimensional) trajectory detection framework for a flapping flexible wingskin of a MAV (micro-air-vehicle) “Golden Snitch”, which has a flight record of 8 min. A flexible wingskin embedded with a 9-LED (light emitting diode) array was fabricated via parylene MEMS process. The obtained figure-of-8 trajectory of a flapping MAV is firstly reported with detailed 3D coordinate...
Nine children with cerebral palsy and nine adults with stroke were trained using 5 different upper extremity simulations using the NJIT-RAVR system for approximately nine to twelve hours over a three week period. Both groups made improvements in clinical measurements of upper extremity function and reaching kinematics. Patterns and magnitudes of improvement differ between the two groups. Responses...
We propose an approach for vehicle localization in dense urban environments using a stereoscopic system and a GPS sensor. The stereoscopic system is used to capture stereo video flow, to recover the 3D environments and to estimate the vehicle motion on the basis of feature detection, matching and triangulation of stereo pairs. Then reliable GPS positions are used as measurements to update the vehicle...
In this paper a dense structure model is developed for stereo image based Simultaneous Localization And Mapping (SLAM). It is proposed to model dense environment structure incrementally by robustly integrating disparity maps from current and previous time instants. In this way disparities can be refined over time to favor consistent 3D structure over noise. The analytical search bounds for disparities...
This article introduces a method called SLAC (Simultaneous Localization And Capture) to track the spatial location of a human using wearable inertia sensors without additional external assistive global sensing device (e.g., camera, ultrasound, IR, etc.) The method uses multiple wearable inertia sensors to determine the orientation of the body segments and lower limb joint motions. At the same time,...
This paper presents an approach to recognize 6 DOF rigid body motion trajectories (3D translation + rotation), such as the 6 DOF motion trajectory of an object manipulated by a human. As a first step in the recognition process, 3D measured position trajectories of arbitrary and uncalibrated points attached to the rigid body are transformed to an invariant, coordinate-free representation of the rigid...
In this paper, an algorithm for the reconstruction of an outdoor environment using a mobile robot is presented. The focus of this algorithm is making the mapping process efficient by capturing the greatest amount of information on every scan, ensuring at the same time that the overall quality of the resulting 3D model of the environment complies with the specified standards. With respect to existing...
The present work consists in obtaining Cellular Automata models from simulation trajectories of protein folding, we describe the characteristics of the obtained models and discusses the advantages gained from the identification of rules based only on local interactions from a contact map representation. We detail experiments on the protein HP35 — NleNle which demonstrates the validity of the proposed...
Most methods for multiple camera tracking rely on accurate calibration to associate data from multiple cameras. However, it often is not easy to have an accurate calibration in some real applications due to practical reasons. The inaccurate calibration can lead to wrong data association of objects between cameras. In this paper, we propose a method to handle the data association of objects in multiple...
Panoramic images are a new type of visual data that provide many new possibilities as compared to the classic planar images. Tele-presence and virtual navigation are examples of such interesting applications. In order to enable smooth navigation across different view points, we propose a method for aligning cubic-panorama image datasets by using the concept of epipolar geometry. Unlike existing methods,...
Maximal clearance is an important property that is highly desirable in multi-agent motion planning. However, it is also inherently difficult to attain. We propose a novel approach to achieve maximal clearance by exploiting the ability of evenly distributing a set of points by a centroidal Voronoi tessellation (CVT). We adapt the CVT framework to multi-agent motion planning by adding an extra time...
In this paper we present a general method for exploiting prior information to constrain the location of landmarks in GraphSLAM. Prior information can be obtained for many environments in many different ways. However, this information can be incomplete, out-of-date, or presented in a different form than that used by the robot. Therefore, we argue that prior information is most naturally modelled as...
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