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In this paper, we present a fully automatic radiation pattern measurement setup for 60 GHz probe-fed antennas. First, a detailed description of the mechanical and the RF parts of the set-up is provided with a special focus of a dedicated calibration procedure. Then, the 3D radiation pattern measurements of several antennas are presented to validate the calibration procedure and demonstrate the accuracy...
In this wok, we propose a stereo recording spatial enhancement technique which retains the original panning / source location, proportionally mapped into the perceived expanded sound stage. The technique uses a time-frequency domain metric for retrieving the panning coefficients applied during the initial stereo mixing. Panning information is also used for separating the original single channel audio...
In order to avoid the influence on the founding of DEM, noise elimination is an important step for data processing after acquisition. Based on Least Squares theory, reference plane and partial planes are fitted separately. By comparing the relative position of each other, obvious noises are eliminated. Then, second filtering is carried out based on the distance from scattered data points to fitting...
Recently scaling damages of concrete structures have become apparent and it is now investigated to develop a method for quantitatively assessing the damages. In this paper, we propose a beneficial method for this purpose based on long-distance 3D laser scanning. In our proposed method, original shapes of the concrete structures before to be damaged are estimated on their laser scanned data by region...
In this paper we explore the robustness of histogram features extracted from 3D point clouds of human subjects for gender classification. Experiments are conducted using point clouds drawn from the Civilian American and European Surface Anthropometry Resource Project (CAESAR anthropometric database provided by the Air Force Research Laboratory (AFRL) Human Effectiveness Directorate and SAE International)...
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...
We study the problem of using the GPU to compute the generalized Voronoi diagram (GVD) for higher-order sites, such as line segments and curves. This problem has applications in many fields, including computer animation, pattern recognition and so on. A number of methods have been proposed that use the GPU to speed up the computation of the GVD. The jump flooding algorithm (to be called JFA) is such...
LIDAR (Light Detection and Ranging) is one of the most effective remote sensing systems, which could provide three dimensional information of earth surface with high accuracy and speed. Now the building boundary extraction is the key approach for 3D modeling of building and city mapping. In this paper, a new algorithm named Alpha Shapes is developed to extract the building boundary. Compared with...
Ghost effects and obscured areas are common problems that occur when dealing with the generation of digital true orthophotos. Tall objects such as buildings and sudden relief changes will lead to problems where hidden objects arise, due to the relief displacement caused by the perspective planes. Several images are needed to get full coverage of the area which is also used in filling up the occluded...
Haptics has in earlier work shown the potential to assist in the understanding of an otherwise overwhelming amount of information in scientific and medical visualization. In the typical scientific data, with many different properties such as pressure, temperature, strain, etc, the user is required to switch between what data to represent through the haptic feedback. In this paper we explore the possibility...
In this work, we propose and experiment an original solution to 3D face recognition that supports accurate face matching also in cases where just some parts of probe scans are available. In the proposed approach, distinguishing traits of the face are captured by first extracting keypoints of the 3D depth image and then measuring how the face depth changes along facial curves connecting pairs of key-points...
Multiple video projectors can be used to provide a seamless, undistorted image or video over one or more display surfaces. Correct rendering requires calibration of the projectors with respect to these surface(s) and an efficient mechanism to distribute and warp the frame buffer data to the projectors. Typically, the calibration process involves some degree of manual intervention or embedding of optical...
Recent research in the area of automatic machine recognition of human faces has shown that there may be an advantage in utilizing face symmetry to improve recognition accuracy. While promising, this work has led to several open questions. What is a good feature description or score of the symmetry of the face? Is there a statistical significance between face symmetry and face recognition? We present...
Based on the geological and economic conditions, it is not realistic to get large number of geological data. Spatial data interpolation is the key for solving this problem, choosing a reasonable interpolation affect the accuracy of 3D geological model. We first describe the method for traditional interpolation to construct geological surface, and introduce the application of discrete smooth interpolation...
This paper presents an interaction approach for augmented reality using the folding with a relaxed constraint. In our approach, the user can fold a paper and see virtual contents overlaid on the paper. The paper can be folded in horizontal, vertical, and diagonal direction. The folded surface is defined as two polygonal planes that are connected in the folding line. The main contribution of this paper...
3D spatial query has close relationships with human-machine interface in 3D GIS. However, its implementation method has not been discussed systematically in current literatures. According to current development in 3D GIS, this paper classifies all spatial query methods systematically. A kind of kNN query method is presented. Transformation between 3d coordinate space and 2d screen space can effectively...
This paper introduces an approach to classify robot environments based on planar segments extracted from 3D data. In a preprocessing step, point data from a 3D range sensor is transformed to planar patches, i.e. raw data is transformed to a mid level geometric representation. This step allows for a robust, simple and straightforward feature extraction. The features are fed into a learning algorithm,...
The fast and accurate computation of surface normals from a point cloud is a critical step for many 3D robotics and automotive problems, including terrain estimation, mapping, navigation, object segmentation, and object recognition. To obtain the tangent plane to the surface at a point, the traditional approach applies total least squares to its small neighborhood. However, least squares becomes computationally...
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...
Robotic sound localization has traditionally been restricted to either on-robot microphone arrays or embedded microphones in aware environments, each of which have limitations due to their static configurations. This work overcomes the static configuration problems by using visual localization to track multiple wireless microphones in the environment with enough accuracy to combine their auditory...
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