检索结果-内蒙古大学图书馆

Towards a general multi-view registration technique

IEEE TRANSACTIONS ON PATTERN analysis AND MACHINE INTELLIGENCE 1996年第5期18卷 540-547页

作者： Bergevin, R Soucy, M Gagnon, H Laurendeau, D Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Laval University QUE Canada

We present an algorithm that reduces significantly the level of the registration errors between all pairs in a set of range views. This algorithm refines initial estimates of the transformation matrices obtained from either the calibrated acquisition setup or a crude manual alignment. It is an instance of a category of registration algorithms known as iterated closest-point (ICP) algorithms. The algorithm considers the network of views as a whole and minimizes the registration errors of all views simultaneously. This leads to a well-balanced network of views in which the registration errors are equally distributed, an objective not met by previously published ICP algorithms which all process the views sequentially. Experimental results show that this refinement technique improves the calibrated registrations and the quality of the integrated model for complex multipart objects. In the case of scenes comprising man-made objects of very simple shapes, the basic algorithm faces problems common to all ICP algorithms and must thus be extended.

关键词： multiple view registration model building three-dimensional objects range images surface modeling multiple view integration

来源：评论

学校读者我要写书评

暂无评论

A generalized Hermite pyramid for ultrasonic image analysis .2. Gallstone

引用

ULTRASONIC IMAGING 1996年第4期18卷 305-327页

作者： Venkatesh, YV Computer Vision and Artificial Intelligence Laboratory Department of Electrical Engineering Indian Institute of Science

This paper deals with the problem of extracting information regarding the chemical composition of stones in the human gallbladder from in vitro and in vivo B-scan ultrasonic images. The images are subjected to the Hermite pyramid decomposition technique described in Part I (Venkatesh, Y. V., Ultrasonic Imaging, 18, 261-301, 1996). In an attempt to determine the chemical composition of the gallstones, the gradients of the decomposed images are input to an unsupervised classifier. The outputs of the classifier exhibit some interesting patterns that appear to be related to the chemical composition of the gallstones contained in these images. (C) 1996 Academic Press.

关键词： gallstones Hermite polynomials image decomposition medical imaging multiscale image analysis ultrasonic image analysis unsupervised classification

来源：评论

学校读者我要写书评

暂无评论

High-speed extraction of 3D structure of selectable quality using a translating camera

引用

computer vision AND image UNDERSTANDING 1996年第1期64卷 97-110页

作者： Dalmia, AK Trivedi, M Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department The University of Tennessee Knoxville Tennessee 37996-2100

In this paper we present a computational approach for extracting three-dimensional structure of controllable resolution, depth of field, and accuracy, all made available at real-time speeds, This approach utilizes the spatial and the temporal gradients of the streams of images acquired using an actively controlled camera, Depending on the requirements of a particular task, appropriate parameters such as disparity value sought, interframe camera displacement, and number of frames in a stream are chosen to control the resolution, depth of field, and accuracy, The acquisition and processing of the image stream are done in real time on a pipeline architecture based processor. Extensive experiments are presented to demonstrate the system's accuracy, controllability of depth of field and resolution, and ability to perform successfully in a variety of scenes. The system operated with no latency between image acquisition and processing. The total acquisition and processing time in these experiments is in the range from 0.27 to 1.56 s. The depth results have an accuracy of 85% to 92%. (C) 1996 Academic Press, Inc.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

A focal plane architecture for motion computation

引用

REAL-TIME IMAGING 1996年第6期2卷 351-360页

作者： AriasEstrada, M Tremblay, M Poussart, D Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Laval University Quebec Canada G1K 7P4[f1]

A new focal plane architecture for motion computation is presented. The design is based on the Smart Sensor paradigm: combining transduction and early processing at sensor level. The sensor computes focal plane motion and direction in a subsampled space, with programmable spatiotemporal bandwidth. The architecture is designed around an array of neuromorphic analog processing cells with local photo-transduction, computation of temporal variations in the image and correlation between neighbor pixels. The inherent process of serial read-out is used for further integration of low-level processing and reduction of complexity of each pixel. An external dedicated digital processor controls the system, interprets, and integrates the information from sets of four processing pixels in order to create a motion-based medium-level description of the image. The approach developed for VLSI implementation offers an excellent combination of small pixel area and a computationally efficient method for image motion measurement. The architecture is being implemented in a standard 1.5 mu m CMOS process. (C) 1996 Academic Press Limited

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Efficient coding by neuro-fuzzy clustering in vector quantization of wavelet decomposed signals

Efficient coding by neuro-fuzzy clustering in vector quantiz...

引用

Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Mitra S. Pemmaraju Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University Lubbock TX USA

Multiresolution representation of wavelets in image decomposition and coding shows potential of developing an efficient image compression technique with minimum distortion when vector quantization (VQ) is used. This paper presents a multiresolution and adaptive approach to VQ codebook generation by employing a fuzzy distortion measure embedded in a self-organizing neural network ensuring fast convergence and minimum distortion. Multiresolution codebooks are generated for the wavelet decomposed images using neuro-fuzzy clustering algorithms resulting in significant improvement in the coding process. The signal transformation and vector quantization stages together yield at least, 64:1 bit rate reduction with good visual quality and acceptable peak signal to noise ratio and mean square error. The performance of this new VQ coding technique has been compared to that of the well-known Linde, Buzo, and Gray-VQ for a variety of image classes. In each case, the new VQ technique demonstrated superior ability for fast convergence with minimum distortion at similar bit rate reduction than the existing VQ techniques.

关键词： Vector quantization image coding Signal resolution image resolution Distortion measurement Convergence Bit rate image decomposition Fuzzy neural networks Neural networks

来源：评论

学校读者我要写书评

暂无评论

Efficient image coding using multiresolution wavelet transform and vector quantization

Efficient image coding using multiresolution wavelet transfo...

引用

IEEE Southwest Symposium on image analysis and Interpretation

作者： S. Pemmaraju S. Mitra Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University Lubbock TX USA

image compression forms the backbone for several applications such as storage of images in a database, picture archiving, TV and facsimile transmission, and video conferencing. Compression of images involves taking advantage of the redundancy in data present within an image. A fundamental goal of image compression is to reduce the bit rate for transmission and storage while maintaining an acceptable fidelity or image quality. Existing VQ algorithms however, suffer from a number of practical problems, e.g. codebook initialization, long search process, and getting trapped in local minima. This paper presents an adaptive vector quantization algorithm which uses a neuro-fuzzy clustering technique for optimizing the distortion measure. The fuzzy approach forms the basis for accurately optimizing each codevector by determining the fuzzy centroid of each class. In addition, a multiresolution wavelet decomposition scheme is adopted to make the image better suited for compression and to enable its progressive transmission.

关键词： image coding image resolution Wavelet transforms image storage Clustering algorithms Spine image databases TV Facsimile Videoconference

来源：评论

学校读者我要写书评

暂无评论

3D segmentation and labeling using self-organizing Kohonen network for volumetric measurements on brain CT imaging to quantify TBI recovery

3D segmentation and labeling using self-organizing Kohonen n...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： M.N. Ahmed A.A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

In this paper, we present a new system to segment and label CT brain slices using a self-organizing Kohonen network. Our aim is to extract reliable and robust measures from CT images of Traumatic Brain Injury (TBI) patients that can accurately describe the morphological changes in the brain as recovery progresses. Segmentation is performed by assigning a feature pattern to each voxel, consisting of a scaled family of differential geometrical invariant features. The invariant feature pattern is input to Kohonen network for an unsupervised classification of the voxels into regions.

关键词： Labeling Volume measurement image segmentation Computed tomography Layout Electric variables measurement engineering in Medicine and Biology Society Brain injuries Data mining Filters

来源：评论

学校读者我要写书评

暂无评论

Experiments in multiresolution motion estimation for multifrequency tagged cardiac MR images

Experiments in multiresolution motion estimation for multifr...

引用

IEEE International Conference on image Processing

作者： S. Androutsellis-Theotokis J.L. Prince Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

In tagged magnetic resonance imaging of the human heart, different frequency patterns can be imposed and imaged as the heart moves. It is advantageous to use low-frequency patterns to improve both image acquisition time and the performance of gradient-based optical flow motion analysis methods. This paper explores the effects of three factors-image prefiltering, multiresolution optical flow, and multifrequency tag patterns through a serious of controlled simulation experiments. We show that use of image prefiltering in a multiresolution optical flow approach achieves significant performance gains, and permits a factor of four reduction in imaging time, without the need for multifrequency tag patterns.

关键词： Motion estimation image motion analysis Heart Magnetic resonance imaging Humans Frequency Motion analysis Optical control image resolution Performance gain

来源：评论

学校读者我要写书评

暂无评论

On div-curl regularization for motion estimation in 3-D volumetric imaging

On div-curl regularization for motion estimation in 3-D volu...

引用

IEEE International Conference on image Processing

作者： S.N. Gupta J.L. Prince Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

We consider the classical optical flow algorithm due to Horn and Schunck (1981) for estimating the motion of brightness patterns between image pairs. We use a modified smoothness condition based on the divergence and curl of the velocity field. In previous work, we have developed well-posed stochastic state-space models for these optical flow methods in two dimensions. This paper extends our results to 3-D. We first show that by using the first order div-curl spline, it is not possible to obtain a first order linear differential well-posed model in 3-D. Next, we employ the second order div-curl spline smoothness condition and develop well-posed state-space models.

关键词： Motion estimation Brightness image motion analysis Spline Stochastic processes Optical imaging Optical computing State-space methods image sequence analysis Laboratories

来源：评论

学校读者我要写书评

暂无评论

The EM/MPM algorithm for segmentation of textured images: analysis and further experimental results

The EM/MPM algorithm for segmentation of textured images: an...

引用

IEEE International Conference on image Processing

作者： M.L. Comer E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

In this paper we present new results relative to the "expectation-maximization/maximization of the posterior marginals" (EM/MPM) algorithm for simultaneous parameter estimation and segmentation of textured images. The goal of the EM/MPM algorithm is to minimize the expected value of the number of misclassified pixels. We present new theoretical results in this paper which show that the algorithm can be expected to achieve this goal, to the extent that the EM estimates of the model parameters are close to the true values of the model parameters. We also present new experimental results demonstrating the performance of the algorithm.

关键词： image segmentation image analysis image texture analysis Algorithm design and analysis Parameter estimation Pixel Stochastic processes computer vision image processing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：