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检索条件"主题词=Algorithm Development"

共 1857 条记录，以下是1321-1330 订阅

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ROBUST AND FAST MODELING OF 3D NATURAL OBJECTS FROM MULTIPLE VIEWS

ROBUST AND FAST MODELING OF 3D NATURAL OBJECTS FROM MULTIPLE...

引用

Conference on Image and Video Processing II

作者： NIEM, W UNIV HANNOVER INST THEORET NACHRICHTENTECH & INFORMAT VERARBEITUNGD-30167 HANNOVERGERMANY

ISBN: (纸本)0819414778

An algorithm for the robust and fast automatic construction of a 3D model of any real object using images from multiple views is presented. The images are taken from a real object rotating in front of a stationary calibrated CCD TV camera. The object silhouettes extracted from the input images, the related turntable positions, and camera orientation are used to construct the volume model of the real object by applying the method of occluding contours. A keypoint in performing this method is a proper volume representation, characterized by low complexity and suitability for a fast computation of volume models. In the presented approach, each volume model is described by pillar-like volume elements (pillars) ensuring a computational complexity proportional to the size of the real object surface and enabling a fast and simple construction of the volume model. The fast performance is due to the simple projection feasibility of those pillars and the easy-to-perform intersection test for the object silhouette with the projected pillars. Results with real image sequences have confirmed the robustness of the developed algorithm even for the modelling of real objects with highly detailed and complex surfaces and the use of imperfect object silhouettes.

关键词： 3D modeling Cameras Image segmentation 3D image processing Imaging systems CCD cameras algorithm development Calibration Modeling Video processing

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Digital image processing in the Xerox DocuTech document processing system

Digital image processing in the Xerox DocuTech document proc...

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Document Recognition

作者： Lin, Ying-wei Xerox Corp. (United States)

ISBN: (纸本)081941476X

This paper describes the realtime image processing features in the Xerox DocuTech document processing system. The image processing features offered include image enhancement, halftone screen removal (de-screening) with an FIR low pass filter, and an image segmentation algorithm developed by Xerox, which can be used for documents with text and high frequency halftone images, such as pages from typical magazines. The image segmentation algorithm uses a modified auto correlation function approach to detect halftone areas on the document. With this set of image processing features, it is possible to handle a wide variety of input documents on the scanner, and generate high quality output prints.

关键词： Halftones Image processing Correlation function Image enhancement Image quality algorithm development Digital image processing Image segmentation Image processing algorithms and systems Printing

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Efficient computation of the two-dimensional fast cosine transform 4

Efficient computation of the two-dimensional fast cosine tra...

引用

Hybrid Image and Signal Processing IV

作者： Christopoulos, Charilaos A. Bormans, Jan Skodras, Athanasios N. Cornelis, Jan P. Vrije Univ. Brussel (Belgium) Univ. of Patras (Greece)

ISBN: (纸本)0819415421

An extension of one of the fastest existing algorithms for the computation of the 2D discrete cosine transform is given. The algorithm can be implemented in-place requiring N2 less memory locations and 2N2 less data transfers for the computation of N×N DCT points compared to existing 2D FCT algorithms. Based on the proposed algorithm, a fast pruning algorithm is derived for computing the N0xN0 lowest frequency components of a length N×N discrete cosine transform, with both N and N0 being powers of 2. The computational complexity of the algorithm is compared with the row-column pruning method and experimental results on execution times are given.

关键词： algorithm development Image compression NOx Solids Data compression Distributed interactive simulations Information operations Electronics Image processing Signal processing

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MODEL-BASED 3-D OBJECT RECOGNITION USING INTENSITY AND RANGE IMAGES

MODEL-BASED 3-D OBJECT RECOGNITION USING INTENSITY AND RANGE...

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4th International Conference on Automatic Object Recognition

作者： NATONEK, E BAUR, C SWISS FED INST TECHNOL IMT DMTVIS LABCH-1015 LAUSANNESWITZERLAND

ISBN: (纸本)0819415383

This paper describes a model based vision system in which a commercial 3-D computer graphics system has been used for object modeling and visual clue generation. Given the computer generated model image (i.e., color, depth, ...) a conventional CCD camera image and the corresponding scanned 3-D dense range map of the real scene, the object can be located in it. Our system, called three dimensional model based approach (3D-MBA), uses image pyramid of resolution and prediction-verification processes. To optimize the object recognition scheme, it first forms a set of hypotheses about the objects present in the scene and then proceeds by trying to confirm/reject them. If any part of the object hypothesis is missing, the system uses the object model to predict the shape, location, and orientation of that missing part. This paper focuses on how this is done using newly developed segmentation algorithms extracting `regions of interest' from range images (depth map) of the scene. Illustrative examples of object recognition in simple and complex scenes are presented.

关键词： 3D modeling 3D image processing Image segmentation Object recognition Visual process modeling algorithm development Computing systems 3D vision Computer graphics Systems modeling

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APPLICATION OF DYNAMIC HUFFMAN CODING TO IMAGE SEQUENCE COMPRESSION

APPLICATION OF DYNAMIC HUFFMAN CODING TO IMAGE SEQUENCE COMP...

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Conference on Visual Communications and Image Processing 94

作者： JEON, B PARK, J JEONG, J SAMSUNG ELECTR CO SIGNAL PROC LABSUWONSOUTH KOREA

ISBN: (纸本)081941638X

In many image sequence compression applications, Huffman coding is used to reduce statistical redundancy in quantized transform coefficients. The Huffman codeword table is often pre-defined to reduce coding delay and table transmission overhead. Local symbol statistics, however, may be much different from the global one manifested in the pre-defined table. In this paper, we propose a dynamic Huffman coding method which can adaptively modify the given codeword and symbol association according to the local statistics. Over a certain set of blocks, local symbol statistics is observed and used to re-associate the symbols to the codewords in such a way that shorter codewords are assigned to more frequency symbols. This modified code table is used to code the next set of blocks. A parameter is set up so that the relative degree of sensitivity of the local statistics to the global one can be controlled. By performing the same modification to the code table using the decoded symbols, it is possible to keep up with the code table changes in receiving side. The code table modification information need not be transmitted to the receiver. Therefore, there is no extra transmission overhead in employing this method.

关键词： Image compression Computer programming Receivers Image transmission Quantization Adaptive control algorithm development Data compression Image quality Process control

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Extraction of object lines in engineering drawings

Extraction of object lines in engineering drawings

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Document Recognition

作者： Lai, Chan P. Kasturi, Rangachar The Pennsylvania State Univ. (United States)

ISBN: (纸本)081941476X

Classification of object lines in mechanical part drawings is a critical problem for automated conversion of drawings from paper medium to CAD databases. We describe new methods for classifying object lines. These methods include section line detection, hidden line detection, centerline detection and object line extraction. A self-supervised approach which includes a spacing estimation step and a recognition step to extract section lines is described. A general purpose algorithm that not only detects dashed lines but also classifies them based on their attributes is described. These attributes are used for classification of detected dashed lines as hidden lines or centerlines. Object line extraction facilitates intelligent interpretation of geometric objects for integration with CAD/CAM systems.

关键词： Databases Computer aided design algorithm development Detection and tracking algorithms Image segmentation System integration Surface plasmons Gallium Silicon Computer science

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Fourier transform Raman spectroscopy-application to process control 9

Fourier transform Raman spectroscopy-application to process ...

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9th Int. Conference on Fourier Transform Spectroscopy

作者： Garrison, Arlene A. Martin, Madhavi Z. Univ. of Tennessee/Knoxville (United States)

ISBN: (纸本)0819413607

A commercial FT-Raman instrument has been modified for use in on-line chemical composition analysis to control an industrial distillation column. Optical fibers are utilized to allow the placement of the instrument 35 meters from the process environment. Various process probes have been tested and compared. Computational algorithms are used to develop a mathematical model which correlates spectral characteristics to composition. Predictions from the model are presented at three minute intervals to allow statistical process control of a distillation column through operator intervention. Recent application studies and probe modifications are discussed.

关键词： Raman spectroscopy Chemical analysis Industrial chemicals Process control Spectroscopy algorithm development Fourier transforms Mathematical modeling Patents Optical fibers

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Implementation methodology and error analysis for the University of Washington English Document Image Database-I

Implementation methodology and error analysis for the Univer...

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22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs

作者： Phillips, Ihsin T. Ha, Jaekyu Chen, Su Haralick, Robert M. Seattle Univ. (United States) Univ. of Washington (United States)

ISBN: (纸本)0819413909

Document database preparation is a very time-consuming job and usually requires the involvement of many people. Any database is prone to having errors however carefully it was constructed. To assure the high quality of the document image database, a carefully planned implementation methodology is absolutely needed. In this paper, an implementation methodology that we employed to produce the UW English Document Image Database I is described. The paper also discusses how to estimate the distribution of errors contained in a database based on a double-data entry/double verification procedure.

关键词： Databases Error analysis Neptunium Protactinium Image processing Sodium Data corrections algorithm development Gallium Optical character recognition

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New approach for locating multiple targets

New approach for locating multiple targets

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Signal Processing, Sensor Fusion, and Target Recognition III

作者： Bao, Zhonghao Flachs, Gerald M. New Mexico State Univ. (United States)

ISBN: (纸本)0819415367

The research presented in this paper is focused on the development of mathematical foundations and algorithm for locating multiple targets on film images. A locator algorithm with firm mathematical foundations has been developed to locate multiple targets. The algorithm is based upon the assumption that an image is composed of a mixture of component distributions, stemming from the different background and target regions in the image. Using both a maximum likelihood estimator and iterative clustering algorithm, a locator algorithm was developed to separate the mixture into its major components. Having the components of the mixture, objects are located by classifying the components of mixture and recognizing the targets based upon their size and shape. The algorithm has been tested on a set of images that were selected based upon anticipated difficult situations. The algorithm has demonstrated the ability to locate multiple objects in noisy and cluttered background scenes.

关键词： algorithm development Detection and tracking algorithms Target recognition

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Segmentation engine: a real-time image segmentation subsystem

Segmentation engine: a real-time image segmentation subsyste...

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Machine Vision Applications in Industrial Inspection II

作者： Dom, Byron E. Blanz, Wolf-Ekkehard Cox, Charles Steele, David A. Dorundo, Alan D. IBM Almaden Research Ctr. (United States)

ISBN: (纸本)0819414786

This paper describes a system developed for segmenting multiband grayscale images into n-class labeled images at high-throughput rates. This system, which we refer to as the segmentation engine, performs supervised image segmentation using algorithms based on the statistical pattern recognition paradigm. So-called 'features' are computed for each pixel and the feature vector thus formed is presented to a statistical classifier, which uses feature information to determine the most probable class of the pixel. algorithms are described for the following: features, automatic feature selection, classification and classifier training. While this paper describes the entire system, the algorithmic approach will be emphasized.

关键词： Image segmentation Image processing algorithms and systems Feature selection Image processing algorithm development Error analysis Machine vision Aluminum Radon Detection and tracking algorithms

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