Summary form only given. The authors introduce a parametric model for columnar structure which considers the spatial form in an image-processing framework. This method permits easy synthesis of column-like structure f...
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Summary form only given. The authors introduce a parametric model for columnar structure which considers the spatial form in an image-processing framework. This method permits easy synthesis of column-like structure from noise images. In particular, bandpass filtering of noise images followed by thresholding yields patterns which strongly resemble the columnar structure that has been observed in the brain. The image-oriented technique is flexible and inexpensive to compute. There are only a few independent parameters, and the role they play in column formation is apparent. The parameters for a particular column system can be readily determined from actual brain data by the use of standard image-processing techniques. The authors have used the model to process data obtained in their computer reconstruction of the pattern of ocular dominance columns in the macaque monkey. This approach avoids the necessity of constructing computationally expensive cellular models which are based on poorly understood details of neural development. The authors provide an efficient, accurate model which can be adjusted to fit a wide variety of column data.
A 3-D object-localization task may be divided into two parts. First, one visible region is classified into one of the aspects of the 3-D object where an aspect is defined as a topologically equivalent class of appeara...
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ISBN:
(纸本)081861952x
A 3-D object-localization task may be divided into two parts. First, one visible region is classified into one of the aspects of the 3-D object where an aspect is defined as a topologically equivalent class of appearances. Then, the precise attitude and position of the object are determined within one aspect. The authors generate a program to determine the precise altitude and position of an object within one aspect, provided that the face correspondences are given as the result of aspect classification. They establish rules (to define each free coordinate system at each aspect) and correspondences between model edges and image edges, and iteratively solve the transformation equation to determine the object's attitude and position using these correspondences. To turn the strategy into a runnable program, an object library and a geometric compiler are prepared.
The proceedings contains 140 papers. The following topics are dealt with: calibration;image analysis;stereo;edge and feature extraction;representation;motion;patternrecognition;image analysis;imageprocessing and app...
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ISBN:
(纸本)0818608625
The proceedings contains 140 papers. The following topics are dealt with: calibration;image analysis;stereo;edge and feature extraction;representation;motion;patternrecognition;image analysis;imageprocessing and applications;geometry;motion;morphology;navigation;matching recognition;and, parallel processing.
Given a sequence of images taken from a moving camera, they are registered with subpixel accuracy in respect to translation and rotation. The subpixel registration allows image ehancement with respect to improved reso...
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ISBN:
(纸本)0818608625
Given a sequence of images taken from a moving camera, they are registered with subpixel accuracy in respect to translation and rotation. The subpixel registration allows image ehancement with respect to improved resolution and noise cleaning. Both the registration and the enhancement procedures are described. The methods are particularly useful for image sequences taken from an aircraft or satellite where images in a sequence differ mostly by translation and rotation. In these cases, the process results in images that are stable, clean, and sharp.
A method to find the analytical solutions of the inverse perspective problem for the determination of the 3-D object attitude in space from a single perspective image is presented. Its principle is based on the interp...
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ISBN:
(纸本)0818608625
A method to find the analytical solutions of the inverse perspective problem for the determination of the 3-D object attitude in space from a single perspective image is presented. Its principle is based on the interpretation of a triplet of any image lines as the perspective projection of triplet of linear ridges of the object model. The geometrical transformations to apply to the model to bring it into the corresponding location are obtained by the resolution of an eighth-degree equation. The number of admissible solutions can still be reduced, using simple pruning rules. This approach leads to very strong results useful for both location and recognition of 3-D objects. Because few admissible hypotheses are retained, the line-matching procedure by prediction-verification is less complex.
The author develops a symbolic modeling of images based on their shape-size information. First, multiscale multishape structural distributions in the image are modeled by morphological openings, and a related shape-si...
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ISBN:
(纸本)0818608625
The author develops a symbolic modeling of images based on their shape-size information. First, multiscale multishape structural distributions in the image are modeled by morphological openings, and a related shape-size descriptor, the pattern spectrum, is developed that can detect critical scales. Then the image is modeled as a nonlinear superposition of simpler parts (the symbols), which are translated and scaled shape patterns drawn from a finite collection. The model parameters are found by using the information from openings and pattern spectrum, and by local searches at points of generalized skeletons. The results appear promising for multiscale image analysis and shape recognition.
An image is represented by the Voronoi tessellation generated from selected sampling points. Using a multiresolution approach, the density of the sampling points can be adaptive to image properties: smoother regions w...
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ISBN:
(纸本)0818608625
An image is represented by the Voronoi tessellation generated from selected sampling points. Using a multiresolution approach, the density of the sampling points can be adaptive to image properties: smoother regions will have fewer sampling points than more detailed regions. The adaptation property results in better image quality than nonadaptive Voronoi representations, while preserving the property that only the holder of the seed of the pseudorandom number generator can reconstruct the original image.
The author discusses some of the properties of vertex space, including insensitivity to changes in scale, orientation, and partial object occlusion, and how these properties relate to problems in model-based object re...
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ISBN:
(纸本)0818608625
The author discusses some of the properties of vertex space, including insensitivity to changes in scale, orientation, and partial object occlusion, and how these properties relate to problems in model-based object recognition. He also describes techniques developed for 2-D and 3-D object recognition using vertex space. The vertex-space approach to object recognition is powerful and efficient, deals well with missing information, and does not require conventional region segmentation. Results to date and an indication of future research directions are presented.
The authors present a method that combines region growing and edge detection for image segmentation. They start with a split-and-merge algorithm where the parameters have been set up so that an oversegmented image res...
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ISBN:
(纸本)0818608625
The authors present a method that combines region growing and edge detection for image segmentation. They start with a split-and-merge algorithm where the parameters have been set up so that an oversegmented image results. Then region boundaries are eliminated or modified on the basis of criteria that integrate contrast with boundary smoothness, variation of the image gradient along the boundary, and a criterion that penalizes for the presence of artifacts reflecting the data structure used during segmentation (quadtree, in this case).
A weak structural texture analysis technique for determining wave heights from images is presented. Based on the representation of ocean waveforms by relational trees, the absolute peak heights, the relative peak heig...
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ISBN:
(纸本)0818608625
A weak structural texture analysis technique for determining wave heights from images is presented. Based on the representation of ocean waveforms by relational trees, the absolute peak heights, the relative peak heights, and the peak width are extracted. The histogram of peak heights for a given width is obtained, and a weak structural texture measure is constructed to discriminate the different ocean-wave heights.
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