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Recent development and innovations in advanced 3D scanning mechanism has boosted the modelling of 3D objects for several domain related applications. Here we propose a framework for 3D Object retrieval process. Hence for the fruitful retrieval from the warehouse efficient searching techniques are required. In this paper, combination of different methods which are rotation estimation, feature extraction,...
Segmentation of image is used from a long time in medical image applications and its study is increased for enhanced the medical diagnosis. This paper concerns a deformable segmentation method for abnormal cells detection by using an improved Level set model which is solved several problems and disadvantages of others segmentation technique. Our approach employed by using real data of carcinoma cells...
We discuss a new simple Lepp-based algorithm formesh refinement that use new simple point insertion strategies. We present an empirical study of the algorithm behavior toobtain good quality 2-dimensional and 3-dimensional meshes. The quality of the elements of the final meshes are measured by using quality metrics based on the shape of the elements and the minimal interior angle.
A method is described to automatically generate spectrum reference data for radioisotope identification devices respecting a detectors physical individuality. It extracts the peak shape and non-proportionality characteristics of scintillation and CZT detectors. The representation of these quantities is done with evolutionary ensembles, groups of N-dimensional autonomous points, which are propagated...
Recent research in texture-based ear recognition also indicates that ear detection and texture-based ear recognition are robust against signal degradation and encoding artefacts. Based on these findings, we further investigate and compare the performance of texture descriptors for ear recognition and seek to explore possibilities to complement texture descriptors with depth information. On the basis...
Non-rigid 3D shape correspondence is a fundamental and challenging problem. Isometric correspondence is an important topic because of its wide applications. But it is a NP hard problem if you detect the mapping directly. In this paper, we propose a novel approach to find the correspondence between two (nearly) isometric shapes. Our method is based on the geodesic structure of the shape and minimum...
With the increasing needs from a variety of real world applications like context retrieval and aid reading, scene text recognition is attracting more and more attention from the computer vision community. Scene text character (STC) recognition plays an important role in this task. However, recognition of STC is a challenging task due to a series of problems, like different illumination conditions,...
The numismatics community undergoes an important change toward a digital archiving of coin trades. Transactions of historical coins are tracked in many catalogues and the digitization of such content is of great interest for augmenting experts work in estimating a coin value and preventing illegal sales. In order to recognize and index coin pictures in transactions archives, a segmentation step is...
This paper describes the smoke detection algorithm for autonomous vehicles equipped with camera and lidar. The main feature is the ability to detect smoke with ego motion of the camera. Color characteristics of smoke are used to detect regions of interest by similarity of pixels between the current frame and the training data. The following metrics are used: red, green, blue, cyan, saturation channels...
We present a new technique to infer dimensions that can be used in biometric face recognition. The methodology is centered on inferring unique dimensions from human ears which provides unique physical biometric features. The process of determining the distance is done by harvesting the real actual dimensions from 2D faces images. This is achieved by using specific point to point distances on the two...
Applications in smart environments can make use of a user positioning service for various purposes such as activity recognition, context awareness and indoor navigation. We propose a novel solution to the user positioning problem based on inplane detection, which employs infrared light emitters and sensors placed horizontally on fixed positions along the circumference. The presented solution outputs...
Touching components are connection zones occurring between text-lines or words of the same line and are one of the problems that make unconstrained handwritten text segmentation greatly hard. In this paper, we propose a recognition based method to separate these components once localized in Arabic manuscript images. It first identifies, for a given touching component, a similar model stored in a dictionary...
In this paper, we present a character-level ground-truth for an Arabic dataset of 8,640 character-shapes along with an evaluation metric that is adapted from image segmentation. These tools together constitute a benchmark for character-segmentation. We demonstrate the use of this benchmark on some segmentation algorithms and report their quantitative results in bits. Our approach can be extended to...
This paper presents a system dedicated to automatic recognition of both the writing type and the language of text regions in heterogeneous and complex documents. This system is able to process documents with mixed printed and handwritten text, in various languages (French, English and Arabic). To handle such a problem, we divided it into two sub-tasks: The writing type identification and the language...
Graphs are commonly used to visually represent software dependencies. However, adequately visualizing software dependencies as a graph is a non-trivial problem due to the pluridimentional nature of software. We have designed a domain-specific language for visualizing software dependencies as graphs that is both expressive and concise. GRAPH, the implementation of our DSL, features a seamless mapping...
Planning robot motions often requires a notion of the “distance” between configurations or the “length” of a trajectory connecting them in the configuration space. If these quantities are defined so as to correspond to the effort required to change configurations, then they would likely differ from the Euclidean distance or arclength in the system's configuration parameters, distorting the visual...
This article deals with path planning algorithms based on known representation of the environment. In terms of such planning choice of suitable environment representation is important. The introduction of this article is dedicated to this issue. The main body is concerned about the path planning algorithms. Several algorithms are described, verified and compared. Key contribution of this article is...
Recent studies pointed out possible shape modifications of the Probability Density Function (PDF) of surface electromyographical (sEMG) data according to several contexts like fatigue and muscle force increase. Following this idea, criteria have been proposed to monitor these shape modifications mainly using High Order Statistics (HOS) parameters like skewness and kurtosis. In experimental conditions,...
Determining shape of the eyeball is important to diagnose eyeball disease like myopia. In this paper, we present an automatic approach to precisely reconstruct three dimensional geometric shape of eyeball from MR Images. The model development pipeline involved image segmentation, registration, B-Spline surface fitting and subdivision surface fitting, neither of which required manual interaction. From...
This paper presents a novel model of spectrum shape elements for correction of non-isoplanatic deviation in illumination. The model is applicable for color and hyperspectral images. We propose a technique for identification of the correction transform on the set of spectrum shape elements with the Hausdorff metric. In addition, a necessary condition, which allows obtaining an adequate form of the...
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