Based on the principles of the imageprocessing, patternrecognition and morphology, an automatic coding technique for the image editing of a videotex system which could greatly improve the editing efficiency is prese...
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ISBN:
(纸本)0780312333
Based on the principles of the imageprocessing, patternrecognition and morphology, an automatic coding technique for the image editing of a videotex system which could greatly improve the editing efficiency is presented in this paper. The scheme and unction of a videotex editor with high performance will also be given. the result we got is rather satisfactory.
An approach to labeling the components of human faces from range images is proposed. The components of interest are those humans usually find significant for recognition. To cope with the non-rigidity of faces, a qual...
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ISBN:
(纸本)081863880X
An approach to labeling the components of human faces from range images is proposed. The components of interest are those humans usually find significant for recognition. To cope with the non-rigidity of faces, a qualitative approach is used. The preprocessing stage employs a multi-stage diffusion process to identify convexity and concavity points. These points are grouped into components and qualitative reasoning about possible interpretations of the components is performed. Consistency of hypothesized interpretations is carried out using context-based reasoning. Experimental results on real range images of several faces are provided.
This paper is devoted to spatio-temporal segmentation in echocardiographic images sequences. We combine spatial properties and temporal properties in order to compute segmentation and tracking in a single process. The...
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ISBN:
(纸本)081863880X
This paper is devoted to spatio-temporal segmentation in echocardiographic images sequences. We combine spatial properties and temporal properties in order to compute segmentation and tracking in a single process. The MRF framework is used for modeling the energy function because it allows one to make use simultaneously of local properties, global information, and temporal regularity. Starting from a reference image, where a manual segmentation is made, we develop a method to estimate the model parameters. Such estimation is a crucial point in MRF models. Thus, given an initial segmentation of the sequence, this approach can segment and track a cardiac cavity during the cardiac cycle. We demonstrate its performance on a real echocardiographic sequence.
This paper gives a new method for image rectification, the process of resampling pairs of stereo images taken from widely differing viewpoints in order to produce a pair of `matched epipolar projections'. These ar...
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ISBN:
(纸本)081863880X
This paper gives a new method for image rectification, the process of resampling pairs of stereo images taken from widely differing viewpoints in order to produce a pair of `matched epipolar projections'. These are projections in which the epipolar lines run parallel with the x-axis and consequently, disparities between the images are in the x-direction only. The method is based on an examination of the essential matrix of Longuet-Higgins which describes the epipolar geometry of the image pair. The approach taken is consistent with that recently advocated strongly by Faugeras of avoiding camera calibration. We define a matrix called the `epipolar transformation matrix' which is used to determine a pair of 2D projective transforms to be applied to the two images in order to match the epipolar lines. The advantages include the simplicity of the 2D projective transformation which allows very fast resampling as well as subsequent simplification in the identification of matched points and scene reconstruction.
We introduce a computational framework for matching a pair of stereo images which, in contrast to existing algorithms, features a self-contained local matching module cascaded with a global matching module. Local matc...
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ISBN:
(纸本)081863880X
We introduce a computational framework for matching a pair of stereo images which, in contrast to existing algorithms, features a self-contained local matching module cascaded with a global matching module. Local matching outputs a 3D grey-scale image in which each and every point has an intensity measuring the goodness a possible match. As such global matching reduces to surface detection in this image. To detect the surface we first enhance it employing a hyper-pyramid data structure. Unlike traditional multiresolution approaches, which are based on the coarse-to-fine continuation method, our multilevel method emphasizes a fine-to-coarse process in which local support is accumulated. The algorithm is concise, efficient, and above all, gives good results for complex scenes.
This paper deals with the development of an efficient model based approach to detect and characterize precisely important features such as edges, corners and vertices. The key of our approach is first to propose some ...
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ISBN:
(纸本)081863880X
This paper deals with the development of an efficient model based approach to detect and characterize precisely important features such as edges, corners and vertices. The key of our approach is first to propose some efficient models associated to each of these features and second, to efficiently extract and characterize these features directly from the image by searching the parameters of the model that best approximate the observed grey level image intensities. Due to the large amount of time required by a first approach that assumes the blur of the imaging acquisition system to be describable by a 2D Gaussian filter, different solutions that drastically reduce this computational time are considered and developed in this paper. The important problem of the initialization phase in the minimization process is also considered and an original and efficient solution is proposed. A large number of experiments involving real images have been carried out in order to test and compare the reliability, the robustness and the efficiency of the different proposed approaches.
In this paper, we introduce a system able to read statistical forms. The system is composed of a personal computer, a scanner and a form reading software. For a form image, the system first extracts the form lines, th...
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ISBN:
(纸本)0780312333
In this paper, we introduce a system able to read statistical forms. The system is composed of a personal computer, a scanner and a form reading software. For a form image, the system first extracts the form lines, then locates the individual rectangle fields of the form, obtains the relations between them and sends image segment of each field to character recognition module. In character recognition, we use a famous machine learning system AQ15 to generate the classifier. The result can be stored in text or in databases, with or without form lines. When one kind of form is first inputted (we refer to this form as unlearned), the attribute of each field column is determined by man-machine interaction, then the structure and the public fields of the form is recorded.
We address a new and rapidly growing application, automated searching through large sets of images to find a pattern `similar to this one.' Classical matched filtering fails at this problem since patterns, particu...
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ISBN:
(纸本)0780309464
We address a new and rapidly growing application, automated searching through large sets of images to find a pattern `similar to this one.' Classical matched filtering fails at this problem since patterns, particularly textures, can differ in every pixel and still be perceptually similar. Most potential recognition methods have not been tested on large sets of imagery. This paper evaluates a key recognition method on a library of almost 1000 images, based on the entire Brodatz texture album. The features used for searching rely on a significant improvement to the traditional Karhunen-Loeve (KL) transform which makes it shift-invariant. Results are shown for a variety of false alarm rates and for different subsets of KL features.
A new method of recognizing a two dimensional (2-D) shape of a single perspective image taken from an unknown viewpoint is presented in this paper. This method is based on a set of new defined Fourier descriptors (FDs...
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ISBN:
(纸本)0780312333
A new method of recognizing a two dimensional (2-D) shape of a single perspective image taken from an unknown viewpoint is presented in this paper. This method is based on a set of new defined Fourier descriptors (FDs) to describe the contour of a planar shape lies in the three dimensional (D-3) domain. In order to generate the 3-D planar image from the 2-D perspective image, we use inverse paraperspective transformation instead of general inverse perspective transformation. Based on the linear approximation of the transformation, new FDs for the 3-D planar contour have been developed. They are proved to be merely dependent on the FDs of the 2-D contour of the projected image and the slope of the world plane. Thereafter, opportunities for simple and efficient computation for 3-D planar shape recognition can be realized.
Included are two main classes, i.e. frontal face and profile in face recognition. This paper describes the former class and represent a method of feature selection based on psychological test conclusions and K-L trans...
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ISBN:
(纸本)0780312333
Included are two main classes, i.e. frontal face and profile in face recognition. This paper describes the former class and represent a method of feature selection based on psychological test conclusions and K-L transformation to remove the correlativity of the original features, and a new discriminant criteria called Distance Fuzzy Diagnosis Maximum 1 -NN, which solves the problem of error decision at the second or third place of order-ranked distance list in Minimum Distance Criteria. Through the identification of individual faces of seventy pictures and ten subject's facial image with different facial orientation, the correct accuracy achieves 97.5% and 90% respectively.
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