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This article develops a geometric framework for detecting targets, in the form of regions of interest, from certain sonar imagery. The main idea is to extract level sets from voxel images and compute local geometric features of the resulting surfaces. Examples include Gaussian and principal curvatures, radial distances, patch areas etc. These features are then compressed into histograms, or estimated...
This study explores the non-parametric estimation of a shape boundary from noisy points in 2D when the sensor characteristics are known. As the underlying shape information is not known, the offered algorithm estimates points on the shape boundary by using the statistics of the subsets of point cloud data. The novel approach proposed in this paper is able to find corner points in a local geometry...
A novel procedure to validate the existence of clusters of the Malaysian lady foot shape measurement is proposed in this study. The Cophenetic Correlation Coefficient (CPCC) index is used to determine the optimal linkage method and distance measure. Mixture distribution confirmed the number of clusters. Three foot shape features that are Left Foot Length (LFL), Left Foot Breadth (LFB) and Left Ball...
Autonomous driving poses unique challenges for vehicle environment perception due to the complicated driving environment where the autonomous vehicle connects itself with surrounding objects. Precise tracking of the relevant dynamic traffic participants (e.g., vehicle/byciclist/pedestrian) becomes a key component for the task of comprehensive environmental perception and reliable scene understanding...
Cell nucleus characterization is essential for pathological image analysis. In this article, we propose a shape characterization of the cell nucleus based on some selected shape descriptors. In order to separate automatically the different cell nucleus shapes, we focus our effort on the feature extraction and classification processes. The main contribution of our work is the creation of a new shape...
This paper introduces a new method for real-time shape sensing. Using a single inertial measurement unit (IMU), our method enables to scan physical objects and to reconstruct digital 3D models. By moving the IMU along the surface, a network of local orientation data is acquired together with traveled distances and network topology. We then reconstruct a consistent network of curves and fit these curves...
This paper describes the new method for measuring the shape of the front surface and the rear surface of a transparent object is difficult because a light does not reflect largely on the surface but mostly penetrate in the object. The proposed use the slightly reflected light on the surface of the transparent object. The experimental results show the usefulness of the proposed method for shape measurement...
Although many daily necessities are translucent object, it is difficult to measure the shape of translucent object with traditional 3D scamming approach. We observed the behavior of the light path and proposed the 3D shape measurement method for translucent objects. We conducted the experiment to verify the usefulness the proposed method. From the experimental results, it was shown that the proposed...
The asymmetry of skin lesion is one of the three-point checklist (3PCLD). The 3CPLD is depending of a shape, hue/color and structure of the lesion. In the paper, a dermatological asymmetry measure in hue (DASMHue) is presented and discussed. The hue distribution asymmetry of the segmented skin lesion is discussed and new dermatological asymmetry measures of hue distribution are defined. One of the...
The paper presents deriving of shape asymmetry measure in the dermatological sense (DASMShape). The skin lesion symmetry consists of three factors: shape, hue/color and structure. We analyze the shape asymmetry and on its basis we propose a new asymmetry degree realized in several ways. DASMShape methods verification and comparison is performed using PH2 database. The results received after optimization...
Shape from focus technique can be used in the computer monocular vision, which is widely applied in the smart transportation. In this study, we proposed a novel directional statistics based focus measure for shape from focus computation. We first compute the standard deviation σ and the mean value μ in the directional neighborhood. Then use the σ/μ as the focus measure to estimate the shape. The proposed...
It is important to judge the shape of the legs as genu valgum (X-shape), genu varum (O-shape) or neither is important in pysical education. However, it imposes mental difficulties in measuring the shape of the legs visually. In this research, we propose an automatic method of measuring and distinguishing the type of the leges by using a depth sensor such as Kinect of Microsoft.
A technique to preserve the self-tracing portion of a digital planar curve is presented in this paper. The proposed alternative method produces initial segmentation points using chain code assignment. To compute the deviation of an initial segmentation points/pseudo high curvature points the proposed methods use the value of arc length between its adjacent pseudo high curvature points as a departure...
Effectively describing and recognizing leaf shapes under arbitrary deformations, particularly from a large database, remains an unsolved problem. In this research, we attempted a new strategy of describing shape by walking along a bunch of chords that pass through the shape to measure the regions trespassed. A novel chord bunch walks (CBW) descriptor is developed through the chord walking that effectively...
Time series similarity measure is an essential issue in time series data mining, which can be widely used in various applications. With an eye to the fact that most current measures neglect the shape characteristic of time series, this paper proposes a shape based similarity measure. By introducing a shape coefficient into the traditional weighted dynamic time warping algorithm, an improved version,...
Topics on clustering ensemble have attracted much attention in recent years. In many clustering ensemble frameworks, the simple partitional clustering methods, e.g., the most famous κ-means, are used as the ensemble's member “clusterers”, due to their low computational complexity. These ensemble approaches extend the scope of application of individual clustering algorithms, and improve the robustness...
Recent progress in sketch-based 3D shape retrieval creates a novel and user-friendly way to explore massive 3D shapes on the Internet. However, current methods on this topic rely on designing invariant features for both sketches and 3D shapes, or complex matching strategies. Therefore, they suffer from problems like arbitrary drawings and inconsistent viewpoints. To tackle this problem, we propose...
This paper proposes a method for estimating the surface of transparent objects based on light field convergency. The light field convergency represents the degree of convergence of the light field at each point. The proposed method utilizes local photo consistency, which is one of characteristics of the light field convergency. Around a boundary contour, a point that is visible from viewpoints with...
This paper proposes a method for measuring human body movement similarity by considering human body motion as a set of 3-dimensional curves representing the changes of direction. This analysis method is used for obtaining similarity values of the body movement of various subjects. Firstly, the performing speed of movements are compared and adjusted. Next, two types of normalized methods, which are...
Blood vessel segmentation is a key component for various clinical applications. In this paper, we present a novel method for vessel segmentation by using a prior shape based on tensor analysis and then incorporate it in a level-set-based segmentation method. We firstly introduce the prior shape via tensor analysis, which formulates the fractional anisotropy and anisotropic character of the mechanical...
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