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Active stereo vision based on the use of a projector and a camera is one of the major 3D measurement methods. Active stereo vision is a technique that is widely used because its ability to measure 3D shapes is robust to changes in ambient light in the environment. The technique involves the projection of patterns known as structured light from a projector, after which the resulting images are captured...
Bridge shape is the important indicator to estimate the safety of the bridge. A bridge shape measurement system based on fiber optic gyroscope is builded up to survey the continuous shape of bridge. This measurement system comprises angular velocity sensor, linear velocity sensor, position sensor and etc. The bridge shape survey using the leveling measurement and bridge continuous shape measurement...
This paper introduces a new kind of geometric graph, called the degree-sensitive neighbourhood graph (dNNG), for a more precise modelling of neighbourhoods. Based on dNNG, we define better shape-based metrics and then propose a neighbourhood-driven force-directed algorithm, called NEFO, for neighbourhood faithfulness. Our evaluation on both real-world and randomly generated graphs shows that the dNNG...
In Hindustani classical music, melodic phrases are identified not only by the stable notes at precise pitch intervals but also by the shapes of the continuous transient pitch segments connecting these. Time-series matching via subsequence dynamic time warping (DTW) facilitates the equal contribution of stable notes and transients to the computation of similarity between pitch contour segments corresponding...
The amplification of video allows sub-pixel movement to be revealed. This has been applied to measure structural vibration using high speed video. A perspective correction has been defined to allow 2D modal analysis to be conducted on a flat plate showing that accurate displacement measurements across the surface can be made. Furthermore, the effect of using various excitation signals including white...
In this work, we present a novel method for tracking an elliptical shape approximation of an extended object based on a varying number of spatially distributed measurements. For this purpose, an explicit nonlinear measurement equation is formulated that relates the kinematic and shape parameters to a measurement by means of a multiplicative noise term. Based on the measurement equation, we derive...
Representative distribution of body shapes is needed when simulating crowds in real-world situations, e.g., for city or event planning. Visual realism and plausibility are often also required for visualization purposes, while these are the top criteria for crowds in entertainment applications such as games and movie production. Therefore, achieving representative and visually plausible body-shape...
Deep learning has shown to be very effective in variety of applications including image classification and object recognition. In this paper we use deep autoencoder for compact shape representation learning and image retrieval. In this method the autoencoder is a 4-layer coding network, and the original shape images after scale normalization are used to pre-train the autoencoder in an unsupervised...
This paper present an analysis of live internet traffic and development of an Adaptive Policing Algorithms to control burst traffic based on fitted traffic model. Objectives of this research is to characterize inbound IP-based campus internet traffic, then traffic is fitted to 2-parameters Cumulative Distribution Function (CDF) traffic model. A Percentage level Policing and algorithm is developed...
Pattern recognition usually requires the description or representation of shapes with some features, called shape descriptors. A shape descriptor generally needs to be invariant to some geometrical transformations (translation, rotation, scaling…). In addition, it has to be robust against slight deformations or noise damaging the shape. In this paper, a novel shape descriptor based on distances and...
This paper presents a multilevel analysis of 2D shapes and uses it to find similarities between the different parts of a shape. Such an analysis is important for many applications such as shape comparison, editing, and compression. Our robust and stable method decomposes a shape into parts, determines a parts hierarchy, and measures similarity between parts based on a salience measure on the medial...
Human body shapes are considered important information for fashion and clothing companies. In order to design better fitting clothes for the population or target customers, accurate analysis of body shapes is required. So far, most works on grouping body shapes are done using body measurements and classifying them into a given number of clusters. However, with the advancement in 3D body scanning technology,...
A double-shot inverse-phase color fringe projection profilometry is proposed to measure 3D shape information by using two-step phase shifting. Each of these two patterns encoded with two sinusoidal patterns and one uniform intensity pattern is projected by a digital projection and recorded by a color CCD camera. Firstly, the captured color fringe patterns are separated into its RGB components and...
Human hand motion and shape sensing is an area of high interest in medical communities and for human interaction researchers. Measurement of small hand movements could help professionals to quantize the stage of conditions like Parkinson's Disease (PD) and Essential Tremor (ET). Similar data is also useful for designers of human interaction algorithms to infer information about hand pose and gesture...
This paper describes a method for detecting and tracking underwater cables using ShapeTape (Measurand Inc., Canada). ShapeTape is a light weight, flexible ribbon which senses the bend and twist along its length. The ability of ShapeTape to detect underwater cables was carried out in a water tank. A mean absolute error and similarity analysis were performed to evaluate the detection accuracy. The results...
Skeleton is an important shape descriptor for de-formable shape matching, because it integrates both geometrical and topological features of a shape. As the skeletonisation process often generates redundant skeleton branches that may seriously disturb the skeleton matching and cause high computational complexity, skeleton pruning is required to remove the inaccurate or redundant branches while preserving...
Anthropometric biometrics are the most suitable features for long-term people reidentification. However, feature selection is still a major problem in the anthropometric biometrics literature. In this paper, we aim at improving people reidentification by enhancing feature selection. Based on a statistical analysis of body measurements on a large-scale dataset, a new anthropometric signature is introduced...
In this paper, the objective evaluation of the performance of multi-sensor cooperative detection is studied. A new method to evaluate the performance of multi-sensor cooperative detection is proposed based on the object's geometric shape. The method utilizes the property that extend fractal characteristic of target is sensitive to the size and contrast of the target, searching for the fractal characteristics...
In this paper, we propose a novel approach to track extended objects by incorporating negative information. While traditional techniques to track extended targets use only positive measurements, assumed to stem from the target, the proposed estimator is also capable of incorporating negative measurements, which tell us where the target cannot be. To achieve this, we introduce a simple, robust, and...
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