This work utilizes the patternrecognition (PR) technologies by Client-Server network structure into a web-based recognizing system. The system uses a recurrent neural network (RNN) with associative memory to perform ...
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This paper describes several methods for using the Virtual Reality Modeling Language (VRML) as the visualization integration technology for manufacturing simulation systems. One of our goals was to develop an integrat...
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We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron...
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We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron...
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An approach to lane departure detection,based on image processing and computer vision,is proposed for a driver assistant system.A new description of lane markings in the image plane is presented,and some properties ar...
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An approach to lane departure detection,based on image processing and computer vision,is proposed for a driver assistant system.A new description of lane markings in the image plane is presented,and some properties are discussed and used to locate ***-frame lane detection and analysis are adopted so that lane departure detection method is more *** departure is analyzed and lane parameters are estimated and used for lateral *** results show that the proposed approach performs lane departure detection efficiently.
A new active vision based linear camera self-calibration technique is proposed. By an active vision system, the camera is rigidly mounted on a camera platform and the platform can be controlled to undergo precise moti...
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A new active vision based linear camera self-calibration technique is proposed. By an active vision system, the camera is rigidly mounted on a camera platform and the platform can be controlled to undergo precise motions. The novelty of this new calibration technique is that it can determine linearly all the five intrinsic parameters of the camera. The basic principle of the new calibration technique is to control the camera to undergo at least five sets of orthogonal planar motions, then the camera's intrinsic parameters can be linearly determined via epipoles. In addition, since the fundamental matrix must be of an anti-symmetric one if the camera's motion between the two images is a pure translation, a 2-point algorithm, rather than the traditional 8-point algorithm, is used to determine the fundamental matrix. The 2-point algorithm is proved to be a great contributor to the substantial increases of the robustness and accuracy of the final calibration results with a large number of experiments on synthetic and real images.
Camera calibration is an indispensable step to obtain 3D information from 2D images. In this paper, a new camera calibration method based on active vision system is proposed. It is proved rigorously that, by controlli...
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Camera calibration is an indispensable step to obtain 3D information from 2D images. In this paper, a new camera calibration method based on active vision system is proposed. It is proved rigorously that, by controlling the camera platform to undergo 4 translations of which no any 3 translations are co-planar, the camera's intrinsic parameters and the camera's orientation matrix with respect to the platform can be calibrated linearly and simultaneously. In addition, the platform's displacement vector can be determined using either stereo vision based method or epipole based method, and the sufficient and necessary condition of a unique solution for the above two methods find out respectively.
This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of ...
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This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.
Morphological processing is well known as an efficient method in binary and gray-scale image processing, especially used to noise suppression,feature extraction, shape description,and so *** this paper,we propose a ne...
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Morphological processing is well known as an efficient method in binary and gray-scale image processing, especially used to noise suppression,feature extraction, shape description,and so *** this paper,we propose a new class of color-scale morphological transforms (CSMTs) to extend theory of mathematical morphology (MM) to color *** image is represented as a vector function,and the correlation between three color channels is utilized to perform noise removal of color *** fundamental CSMTs,composite colorscale morphological filters(CCSMFs) are constructed, and the properties of CSMFs are *** analyses about CSMFs and influnces of different structuring elements are implemented,and the results show that CSMFs are very efficient to eliminate noise of color image with preserving edges.
Multiresolution analysis is a well known and useful technique,in which a computational mechanism can operate on only those resolution levels that just suffice for the detection and localization of objects or features ...
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Multiresolution analysis is a well known and useful technique,in which a computational mechanism can operate on only those resolution levels that just suffice for the detection and localization of objects or features of specified size while significantly reducing the number of operations *** this paper,we propose a color- scale morphological sampling(CSMS) strategy of color image and obtain a new multiresolution representation of color image,referred to as color-scale morphological pyramid(CSMP).A color-scale sampling(CSMS) is described,and color-scale morphological reconstructions (CSMR) by color-scale dilation and closing are achieved. Their properties are discussed and a color image analysis and synthesis system is *** results show that the CSMS and CSMP can be efficiently used for analysis and coding of color image or multispectal image.
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