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This paper is about an experimental set-up for tracking a ground moving mobile object from a bird's eye view. In this experiment, an RGB and depth camera is used for detecting moving points. The detected points serve as input for a probabilistic extended object tracking algorithm that simultaneously estimates the kinematic parameters and the shape parameters of the object. By this means, it is easy...
In this paper we propose a new framework to obtain 3D shape information of thin film rapidly. The conventional equipments based on reflectometry are not suitable for obtaining 3D overall shape information of thin film rapidly since they require more than 30 minutes to measure the absolute thickness for 170 points. The proposed framework is based on an image analysis method that extracts contour lines...
A method to identify the flexural rigidity and the initial curvature of a deformable belt object from its static images is proposed. Automation of assembly of belt objects such as flexible flat cables hasn't progressed because of the difficulty in estimating their deformation. Furthermore, they have the variation which impedes successful manipulation with a uniform trajectory. In this paper, we consider...
Software component identification is one of the primary challenges in component base software engineering. Typically, the identification is done by analyzing existing software artefacts. Considering object-oriented systems, many approaches have been proposed to deal with this issue by identifying a component as a high cohesive and loose coupled set of classes. However, this assumption leads to two...
Aiming at the irregular and uneven feature of medical time series data, a novel algorithm based on piecewise slope transformation distance for short time series similarity measure is propose. We firstly do some preprocess based on algorithm for key points selected, make the data curve to zigzag shape, then, we measure the distance between two curves based on piecewise slope transformation algorithm...
This papers describes GroBa, a new lumen calibre measurement technique based on growing balloons. GroBa presents the advantages of cross-sectional based methods, as it is able to cope with irregular, non-tubular vessel structures, such as stenosis or aneurysms, but at the same time it is able to obtain precise calibre measurements even when the estimated centrelines are not accurate. Experimental...
This paper proposes a simple “prior-free” method for solving non-rigid structure-from-motion factorization problems. Other than using the basic low-rank condition, our method does not assume any extra prior knowledge about the nonrigid scene or about the camera motions. Yet, it runs reliably, produces optimal result, and does not suffer from the inherent basis-ambiguity issue which plagued many conventional...
We raise and investigate the following problems that one can regard as very close relatives of the densest sphere packing problem. If the Euclidean 3-space is partitioned into convex cells each containing a unit ball, how should the shapes of the cells be designed to minimize the average surface area (resp., average edge curvature) of the cells? In particular, we prove that the average surface area...
This paper presents a novel convexity measurement for 3D meshes. The new convexity measure is calculated by minimizing the ratio of the summed area of valid regions in a mesh's six views, which are projected on faces of the bounding box whose edges are parallel to the coordinate axes, to the sum of three orthogonal projected areas of the mesh. The complete definition, theoretical analysis, and a computing...
In this paper, we present a method for accurately estimating the shape of an object by integrating the surface orientation measured by photometric stereo and the position measured by some range-measuring method. We first show that even if the knowledge of the reflectance/illumination is inaccurate, the first derivatives of the photometrically measured orientation can be accurately estimated at the...
In this paper we study a shape descriptor ρ(S) that is defined as the ratio of the squared distance between centroids and the squared diameter of shape S (i.e., a set in the plane). This descriptor has been discussed for more than ten years, but its behaviour is not yet well studied, thus hindering its wide-spread application. There are two open basic questions to be answered: 1. What is the range...
In this paper we propose a new compactness measure which defines the degree to which a 3D shape differs from a perfect sphere. The new measure is easy to compute and satisfies the following desirable properties: - it ranges over (0, 1] and gives the measured compactness equal to 1 if and only if the measured shape is a sphere; - it is invariant with respect to translations, rotations and scaling....
Trabecular bone has traditionally been assumed to be composed of plate- and rod-like trabeculae. This paper proposes a method to numerically evaluate the appropriateness of this assumption. In a first step, local constancy of thickness is estimated by comparing the maximum and mean diameter of the maximum inscribed balls centered at the medial axis/surface that includes every local point. In a second...
This paper presents the practical implementation of a novel shape measurement and analysis scheme for automatic quality inspection of sheet metal parts with large and complicated curved surfaces used widely for manufacturing applications base on statistics. In the proposed technique, the online measurement system (OLMS) developed with improved accuracy, flexibility and advanced measuring efficiency...
We propose robust affine-invariant contour descriptor and measure for shape matching under nonlinear deformations. The descriptor is formed by orthonormal configuration matrix of local contour. The geodesic distance on Grassmann manifold is used to measure similarities of shapes under locally affine transformations, which can approximate complex deformations like articulations. A rigorous perturbation...
An innovative way of object shape representation using Density Histogram of Feature Points (DHFP) is introduced and used in this paper. We have named this method Enhanced Density Histogram of Feature Points (EDHFP). We use silhouette images where the image region ξ consists of only those pixels that correspond to points on the object and have a value one (1) indicating “on” pixels. We count the number...
While the skeleton of a 2D shape corresponds to a planar graph, its encoding by usual graph data structures does not allow to capture its planar properties. Graph kernels may be defined on graph's encoding of the skeleton in order to define a similarity measure between shapes. Such graph kernels are usually based on a decomposition of graphs into bags of walks or trails. These linear patterns do not...
Despite of intensive research on shape decomposition algorithms, their performance evaluation remains qualitative today. The intention of this work is to close this gap by proposing a general framework for quantitative performance evaluation of shape decomposition algorithms. The proposed framework is of supervised nature and based on a benchmark database from a large-scale psychological study with...
In this paper, we address the problem of detecting occlusion boundaries from video sequences. We build a bi-directed graph whose nodes are line fragments extracted from superpixels's edges. Based on the graph, we compute a global occlusion saliency map by integrating motion, shape and topology cues into the framework of Saliency Network. Furthermore, with the structural information generated from...
We present a novel probabilistic model for parsing shapes into several distinguishable parts for accurate shape recognition. This shape parsing is based on robust geometric features that permit high recognition accuracy. Although modelling shapes is an inherently uncertain process, our approach is lenient, in that the desired parse of a shape only needs to be within its k most probable parses. Using...
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