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The raster-vector conversion of remote sensing image is a very important task in the extraction and updating of linear objects in cartographic processes. In this paper we present a vectorization method, based on constrained Delaunay triangulation, for line extraction. The constraints are provided by a preprocessing step insuring that these edges belong to line structures in the original image. The...
In most shape optimization problems, the optimal solution does not belong to the set of genuine shapes but is a composite structure. The homogenization method consists in relaxing the original problem thereby extending the set of admissible structures to composite shapes. From the numerical viewpoint, an important asset of the homogenization method with respect to traditional geometrical optimization...
Two-dimensional shape matching is a fundamental problem in pattern recognition and computer vision. A challenging aspect of this problem is to find a distinctive shape descriptor which is able to handle common geometric transformations, occlusions and deformations. In this paper, we present a novel and distinctive shape descriptor based on shape distributions. The key concept of our method is that...
In modern day crimes and terrorism, it has become imperative to identify by features the criminals who are involved and who have caused such a disaster. The current work is a basic step towards such an important identification process. In this direction, we begin our work with the identification of fuzzy geometric shapes, which resemble with the actual geometric shapes fuzzily. Zadeh proposed Computing...
This paper deals with the construction of a non parametric multiscale analysis from a 1D parametric decomposition of shapes where the elements of the decomposition are geometric primitives. We focus on the case of linear structures in shapes but our construction readily extends to the case of any geometric primitives. One key point of the construction is that it is truly multiscale in the sense that...
In this paper we construct a new kind of basis functions of Bézier curve with single shape parameter, and then by these basis functions we give a practical algorithm of curve modeling. We discuss some important properties of the basis functions and the corresponding curves. Further, we extend our study to the tensor product surface with two shape parameters. We construct the new basis functions of...
A multi-modal biometric system based on palm dorsal vein and hand shape is proposed in this paper. Palm dorsal vein images are captured with an infra-red sensitive camera under near infra-red illumination. Gaussian matched filter is performed to extract vein patterns from Regions Of Interest (ROI) cropped from original images. As for hand shape features, width, height and triangle features are extracted...
One of the most challenging issues in visual information retrieval is retrieval by shape, due to a lack of mathematically rigorous definition of shape similarity. This paper presents a bipolar model for computing shape similarity. Given a discrete region, we cut its Voronoi diagram into two parts along the border of the region and each part is a tree. We use the two trees to respectively model the...
Segmentation of Industrial image is an important step for automatic production and product inspection. There are many challenges for automatic industrial image segmentation, such as poor contrast at workpiece boundaries by complex illumination. Relying on information from the images does not work well in traditional segmentation. In this paper, we propose a novel automatic editing method for improving...
Basically, detecting convex and concave points on the boundary of an object plays an important role in computer vision, object recognition and image understanding. In this paper a method that combines boundary and skeleton information for detecting these critical points is proposed. Specifically, the method is developed with the aim of obtaining high performance and efficiency, and producing a more...
Due to fast development of information technology and increasing demand for the picture similarity used in clinical diagnosis, quality control of product manufacturing process and identified pictures, a similarity calculation method with fast, effective, correct relative similarity of two pictures is essential. This study proposes a new image similarity computing method, the method is to divide picture...
Skin deformation plays a very important role in creating realistic character animation. A lot of research efforts have been devoted to the development of skin deformation techniques. The paper provides a survey of various techniques and classify them into three major categories; surface-based, volume-based and curve-based techniques. Surface based techniques are divided into purely geometric and physics-based...
Femtocell, which is also referred to as "Home NodeB" (HNB), is proposed as one of the best complementary approaches for the future wireless communication. It's a low-power, lowcost cellular base station designed to serve a very small area, such as home or office. The scenario where there are several femtocells coexisted is discussed in this paper, which corresponds to the public place such...
We propose an automatic deformation-driven correspondence algorithm for 3D point sets of non-rigid articulated shapes. Our approach uses simple geometric cages to embed the point set data and extract and match a coarse set of prominent features. We seek feature correspondences which lead to low-distortion deformations of the cages while satisfying the feature pairing. Our approach operates on the...
This paper presents a new geometric framework for analysis of planar treelike shapes for applications such as shape matching, recognition and morphology, using the geometry of the space of treelike shapes. Mathematically, the shape space is given the structure of a stratified set which is a quotient of a normed vector space with a metric inherited from the vector space norm. We give examples of geodesic...
A class of quasi-cubic Bezier curves (briefly QC-Bezier curves) with two shape parameters is presented in this paper. The QC-Bezier curves retain the main superiority of cubic Bezier curves. Unlike the existing techniques based on C-Bezier methods which can approximate the Bezier curves only from single side, the QC-Bezier curves can approximate the Bezier curve from the both sides. The curves include...
This paper presents a registration framework for curve skeleton of 3D models. The algorithm matches two skeletons and deforms a source skeleton to the other target skeleton, so that each node aligns with its closest point on the target skeleton in a non-rigid manner. Transformations defined on each individual skeletal node is optimized to minimize a weighted combination of three errors: the Data Error,...
A multi-scale approach is proposed for polygonal representation of a digital curve by using the notion of blurred segment and a split-and-merge strategy. Its main idea is to decompose the curve into meaningful parts that are represented by detected dominant points at the appropriate scale. The method uses no threshold and can automatically decompose the curve into meaningful parts.
We address the problem of morphological analysis of real terrains. We describe a morphological model for a terrain by considering extensions of Morse theory to the discrete case. We propose a two-level model of the morphology of a terrain based on a graph joining the critical points of the terrain through integral lines. We present a new set of generalization operators specific for discrete piece-wise...
This paper presents an experimental evaluation of three different traffic sign detection approaches, which detect or localize various types of traffic signs from real-time videos. Specifically, the first approach exploits geometric features to identify traffic signs, while the other two are developed based on SVM (Support Vector Machine) and AdaBoost learning mechanisms. We describe each of the three...
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