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A Bayesian approach to learn and classify 3D objects from intensity images

A Bayesian approach to learn and classify 3D objects from in...

引用

international conference on pattern recognition

作者： J. Hornegger H. Niemann Lehrstuhl für Mustererkennung Universität Erlangen Nürnberg Erlangen Germany

this contribution treats the problem of learning and recognizing 3D objects using 2D views. We present a new Bayesian approach to 3D computer vision based on the expectation-maximization algorithm, where learning and classification of objects correspond to parameter estimation algorithms. We give a formal description of different learning and recognition stages and conclude the associated statistical optimization problems for each Bayesian decision. the training stage is supposed to be unsupervised in the sense that no explicit feature matching among different views is necessary. Finally, the experimental part of the paper considers the special case, where observable point features are assumed to be normally distributed and the object and its projections are modeled by mixture density functions.

关键词： Bayesian methods Density functional theory Layout Solid modeling Object recognition Distributed computing Image segmentation Random variables Image recognition Computer vision

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Handwritten sentence recognition: from signal to syntax

Handwritten sentence recognition: from signal to syntax

引用

international conference on pattern recognition

作者： R. Plamondon S. Clergeau C. Barriere Electrical & Computer Engineering Department Ecole Polytechnique de Montreal Montreal QUE Canada Natural Language Laboratory Computing Science Department Simon Fraser University Canada Centre National d''Etudes Des Telecommunications Lannion France

this paper describes a system dedicated to online handwritten sentence recognition. the prototype is made up of two basic processors. the first controls the data acquisition, pentip trace segmentation, letter identification. the second aims at identifying and correcting the words candidates by integrating syntactic and lexical information. Sentences are parsed to list the grammatical classes of each incorrect candidates then lexical query searches for words in a lexicon according to grammatical classes. A final decision is made using a string comparison algorithm. Tests of the complete system are reported at the end for a typical writer-dependent application.

关键词： Handwriting recognition Prototypes System testing Performance evaluation Natural languages Laboratories Process control Data acquisition Electronic equipment testing Application software

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A computer implementation of psychoacoustic grouping rules

A computer implementation of psychoacoustic grouping rules

引用

international conference on pattern recognition

作者： D.P.W. Ellis Perceptual Computing MIT Media Laboratory Cambridge MA USA

We are building a computer model of sound organization and understanding in human listeners. In particular, we would like to be able to detect and locate acoustic events that will be perceived as separate objects. Our model aims to duplicate this aspect of the auditory system although the level of correspondence is speculative given our current state of knowledge. We describe an implementation of grouping rules corresponding to the psychoacoustic cues of harmonicity, common onset, continuity and proximity. We increase the system's robustness by adding a second layer of grouping that looks for corroboration between primary groupings. We believe that such a system of repeated hierarchic grouping is critical for the successful modeling of auditory functions.

关键词： Psychology Psychoacoustic models Humans Auditory system Acoustic signal detection Object detection Event detection Robustness Ear Source separation

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Can a sequential thinning algorithm be parallelized?

Can a sequential thinning algorithm be parallelized?

引用

international conference on pattern recognition

作者： A. D'Acierno C. De Stefano F. Tortorella M. Vento IRSIP CNR Naples Italy Dipartimento di Informatica e Sistemistica UniversitaE28099 degli Studi di Napoli Federico II Napoli Italy

It is commonly presumed that only parallel thinning algorithms can be efficiently implemented on a parallel machine. In this paper it is shown that also a sequential thinning algorithm can have parallel features which can be made explicit and successfully used for a parallel implementation. To this end, the main phases of a fully sequential algorithm are reformulated in such a way that each phase can be carried out by using parallel operators. Experimental results, obtained on a general purpose SIMD machine, are finally discussed.

关键词： Pixel Computed tomography Phase detection Concurrent computing Computer architecture Labeling Parallel machines Computer vision Shape Application software

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A VLSI implementation of a parallel, self-organizing learning model

A VLSI implementation of a parallel, self-organizing learnin...

引用

international conference on pattern recognition

作者： M.G. Stout L.G. Salmon G.L. Rudolph T.R. Martinez Department of Electrical and Computer Engineering Brigham Young University Provo UT USA Department of Computer Science Brigham Young University Provo UT USA

this paper presents a VLSI implementation of the priority adaptive self-organizing concurrent system (PASOCS) learning model that is built using a multichip module (MCM) substrate. Many current hardware implementations of neural network learning models are direct implementations of classical neural network structures-a large number of simple computing nodes connected by a dense number of weighted links. PASOCS is one of a class of ASOCS (adaptive self-organizing concurrent system) connectionist models whose overall goal is the same as classical neural networks models, but whose functional mechanisms differ significantly. this model has potential application in areas such as pattern recognition, robotics, logical inference, and dynamic control.

关键词： Very large scale integration Neural networks Logic Computer networks pattern recognition Network topology Circuit simulation Discrete event simulation Binary search trees Adaptive systems

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High performance computing for land cover dynamics

High performance computing for land cover dynamics

引用

international conference on pattern recognition

作者： R. Parulekar L. Davis R. Chellappa J. Saltz A. Sussman J. Townshend UMIACS College Park MD USA Institute for Advanced Computer Studies (UMIACS) University of Maryland College Park MD USA Department of Electrical Engineering University of Padova Italy Department of Geography University of Reading UK Department of Computer Science Tsinghua University Taiwan Department of Computer Science University of California USA

Presents the overall goals of the authors' research program on the application of high performance computing to remote sensing applications, specifically applications in land cover dynamics. this involves developing scalable and portable programs for a variety of image and map data processing applications, eventually integrated with new models for parallel I/O of large scale images and maps. After an overview of the multiblock PARTI run time support system, the authors explain extensions made to that system to support image processing applications, and then present an example involving multiresolution image processing. Results of running the parallel code on both a TMC CM5 and an Intel Paragon are discussed.

关键词： High performance computing Object oriented modeling Image processing Application software Spatial resolution Data structures Remote sensing Image resolution Image analysis Dynamic programming

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ISR3: communication and data storage for an unmanned ground vehicle

ISR3: communication and data storage for an unmanned ground ...

引用

international conference on pattern recognition

作者： B.A. Draper G. Kutlu E.M. Riseman A.R. Hanson Computer Vision Laboratory Department of Computer Science University of Massachusetts Amherst MA USA University of Massachusetts Amherst Amherst MA US

Computer vision researchers working in mobile robotics and other real-time domains are forced to confront issues not normally addressed in the computer vision literature. Among these are: communications or how to get data from one process to another; data storage and retrieval (primarily for transient image-based data); and database management for maps, object model and other permanent (typically 3D) data. this paper reviews efforts at CMU, SRI and UMass to build real-time computer vision systems for mobile robotics, and presents a new tool, called ISR3, for communications, data storage/retrieval and database management on the UMass Mobile Perception Laboratory (MPL), a NAVLAB-like autonomous vehicle.

关键词： Memory Land vehicles Mobile communication Computer vision Mobile computing Mobile robots Robot vision systems Information retrieval Image databases Image retrieval

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Segmentation of diverse image types using opening and closing

Segmentation of diverse image types using opening and closin...

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international conference on pattern recognition

作者： M. Lybanon S.M. Lea S.M. Himes Naval Res. Lab. Washington DC USA University of North Carolina Greensboro USA Forsyth Memorial Hospital USA

A flexible approach to image segmentation, originally developed for optical astronomical images, is useful for analyzing infrared oceanographic images and solar magnetograms; it should be applicable in other problem domains. the technique is based on the morphological operations of opening and closing. the original computer implementation was designed to find star boundaries in optical astronomical images, where the background is dark and stars, the brightest objects, are uniform or increase in intensity toward their centers. For infrared ocean images, the aim is to find fronts and associated rings; for magnetograms, the aim is to find sunspots, magnetically active regions of the solar surface. Rings, fronts, and sunspots are not very star-like. Hence these images must be pre-processed before applying the method. the edges found from images processed with the algorithm are useful as inputs to other processing, e.g. in automated tracking of ocean features.

关键词： Image segmentation Infrared imaging Oceans Image analysis Magnetic analysis Magnetic domains Morphological operations Optical computing Optical design Sea surface

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Estimating 3D motion and shape of multiple objects using Hough transform

Estimating 3D motion and shape of multiple objects using Hou...

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international conference on pattern recognition

作者： Tina Yu Tian M. Shah Computer Vision Lab Computer Science Department University of Central Florida Orlando FL USA

Presents a robust method to determine 3D motion and structure of multiple objects. Rather than segmenting the scene containing multiple motions using 3D parametric model, the authors use the general 3D motion model and exploit Hough transform and robust estimation techniques to determine motion and segmentation simultaneously for an arbitrary scene. the authors divide the input image into patches, and for each sample of the translation space and each patch, the authors compute the rotation parameters using weighted least-squares fit. Each patch votes for a sample in the five-dimensional parameter space (translation and rotation). the multiple local maxima in the parameter space naturally correspond to the multiple moving objects. the authors' experimental results show that the proposed method is robust and relatively insensitive to noise.

关键词： Motion estimation Shape Image motion analysis Layout Computer vision Image segmentation Parametric statistics Noise robustness Optical noise Optical computing

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Page segmentation using decision integration and wavelet packets

Page segmentation using decision integration and wavelet pac...

引用

international conference on pattern recognition

作者： K. Etemad D. Doermann R. Chellappa Department of Electrical Engineering University of Maryland College Park MD USA University System of Maryland Adelphi MD US

A new algorithm for layout-independent document page segmentation is suggested. Text, image and graphics regions in a document image are treated as three different "texture" classes. Soft local decisions on small blocks are made using wavelet packet based feature vectors. Segmentation is performed by propagating and integrating soft local decisions over neighboring blocks, within and across scales. the "uncertainties" associated with local decisions are reduced as more contextual evidence is incorporated in the process of decision integration. the majority, taken over weighted combined votes, determines the final decision. the suggested algorithm is based on parallel independent computations which have low complexity. It can also be applied to other signal and image segmentation tasks.

关键词： Wavelet packets Image segmentation Layout Graphics Automation Educational institutions Voting Concurrent computing Information retrieval Image databases

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