Mohamed Bénallal

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This subject is part of a more challenging research project aimed at developing a computer vision system, embedded in a car, and capable of identijjing and localing road signs. Several constraints limit the possible solutions are first identified. For instance in such an application, we definite/y need a real-time system: in addition, we wish to limit OUT(More)
Abstract—This paper deals with the prediction of magnetic field distribution and electromagnetic performances of parallel double excitation and spoke-type permanent magnet (PM) motors using simplified (SM) and exact (EM) analytical models. The simplified analytical model corresponds to a simplified geometry of the studied machines where the rotor and stator(More)
In this paper we propose a method for locating a point (or object) in space without any camera calibration or object model. Instead we assume that the 2D location of 4 coplanar points is known and that the unknown point lay on this plane. This is similar to computing the fundamental matrix linking pixel position in the image plane with another plane(More)
We propose an iterative method of 3D localization of 2D or 3D polygonal shapes by monocular vision from a sngle image. The method assumes that the size of the polygonal object is known and that the camera is calibrated. Essentially, the 3D localization is obtained by the resolution of a non-linear system using the parametric equations of the polygonal(More)
In this paper, we propose an iterative method of 3D location of 2D parallelogram or 3D parallelepiped shapes by monocular vision from a single image. The method we propose assumes that the camera is calibrated and that the size of the polygonal object is known. The 3D location is obtained in the following way. First we try to find the orientation of a(More)
relating the coordinates of the vertex A and its projection a with the direction cosines: In this paper we model the camera-polygon system with parametric equations to locate a polygonal object in space. cosa. = J This leads to a nonlinear optimization method under true X +YO +fa perspective for monocular vision with a single image. The algorithm finds(More)
To answer the industrial need for simple camera calibration procedure, we propose a new method that requires a simple calibration object composed simply of a box and two crosses. The box is opened in the front where a large cross, made of wires, is attached while another is drawn (or attached) at the bottom. Both crosses are perfectly aligned similarly to a(More)
The calibration of a camera remains an important problem in computer vision. It is essential to mathematically model the relationship between the three-dimensional structure of an object and its perspective projection. In this paper we introduce a method of inverse perspective geometry to solve the calibration of a camera. The method is based on the work of(More)
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