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We present a method for discovering object models from 3D meshes of indoor environments. Our algorithm first decomposes the scene into a set of candidate mesh segments and then ranks each segment according to its “objectness” - a quality that distinguishes objects from clutter. To do so, we propose five intrinsic shape measures: compactness, symmetry, smoothness, and local and global convexity. We...
Stripes have long been a popular design element in clothing. It is a fact that striped clothing has great impact on customer's preference in fashion design field. The retailer stores usually sell striped clothing because the needs from consumers. Some well-known brands such as: MUJI, UNIQLO, NET, MOSCHINO, and Tommy Hilfiger, consistently supplying line clothing in the 2013 Spring Collections. However,...
As histology patterns vary depending on different tissue types, it is typically necessary to adapt and optimize segmentation algorithms to these tissue type-specific applications. Here we present an unsupervised method that utilizes cell shape cues to achieve this task-specific optimization by introducing a shape ranking function. The proposed algorithm is part of our Layers™ toolkit for image and...
We propose a new minimal wearable system and a classifier for physical activity recognition. The configuration is solely based on two force sensors placed anteriorly and posteriorly under the feet. To find the optimal sensor configuration, we estimated the total force under the feet during daily activities. The estimation was based on a linear regression model built upon the forces estimated over...
Reliably measuring the similarity of two shapes or images (instances) is an important problem for various computer vision applications such as classification, recognition, and retrieval. While pairwise measures take advantage of the geometric differences between two instances to quantify their similarity, recent advances use relationships among the population of instances when quantifying pairwise...
The shapes of plant leaves are of great importance to plant biologists and botanists, as they can help to distinguish plant species and measure their health. In this paper, we study the performance of the Squared Root Velocity Function (SRVF) representation of closed planar curves in the analysis of plant-leaf shapes. We show that it provides a joint framework for computing geodesics (registration)...
The 3D shape measurement of a cloth is indispensable for a robot to autonomously handle the cloth. When a humanoid hangs a large cloth using its arm, the cloth is very close to its head and extends across a very wide field of view. A normal stereo camera mounted on the humanoid robot's head cannot capture the whole shape; however, a fisheye stereo can. Because the cloth is very close to the stereo...
This paper presents a high-precision three-dimensional laser measurement system of an architectural structure by cooperative multiple mobile robots. This system is composed of three mobile robots, that is, a parent robot and two child robots. The parent robot is equipped with a three-dimensional laser scanner, attitude sensor, total station, and auto-leveling device. On the other hand, the child robots...
The purpose of this paper was to improve the butt lifting effect of tight jeans based on changing parameters of pattern by CAD. in the scope of research, body measurements were carried out and three kinds of hip shape (flat, normal and plump) were identified with K-Mean Cluster Analysis according to the hip convex angle. then butt lifting effect of jeans was discussed through changing the back crutch...
At present, micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD,...
Recent years, the spread of devices to output Three-Dimension information are progressing. Researches about Three-Dimensional measurement have been actively carried out as a part of it. In general, when using the active stereo method, distance calibration is needed to associate the distance value to the pattern which the projector exposes. In addition, it is possible to extend the field of view by...
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...
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