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检索条件"任意字段=18th Image Processing: Algorithms and Systems Conference, IPAS 2020"

共 256 条记录，以下是241-250 订阅

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Local Representation of 3D Free-Form Contours for Pose Estimation

Local Representation of 3D Free-Form Contours for Pose Estim...

引用

International conference on Pattern Recognition

作者： M.A. Chavarria G. Sommer Cognitive Systems Group Institute of Computer Sciences and Applied Mathematics Christian-Albrechts-Universitat zu Kiel Kiel Germany

ISBN: (纸本)0769525210

In this paper we present a new representation for 3D free-form contours in the conformal geometric algebra G 4, 1 . this new representation allows to extract local geometrical feature information which is used to solve the correspondence problem for pose estimation applications. Under perspective projection, local features are extracted from a projected contour segment and compared with image features obtained from the monogenic signal. We tested our approach using synthetical and real data for several pose estimation algorithms

关键词： Algebra Data mining Feature extraction image segmentation Iterative closest point algorithm Robustness Mathematics Testing Fourier transforms Signal processing

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Joint image Segmentation and Interpretation Using Iterative Semantic Region Growing on SAR Sea Ice imagery

Joint Image Segmentation and Interpretation Using Iterative ...

引用

International conference on Pattern Recognition

作者： Qiyao Yu D.A. Clausi Systems Design Engineering University of Waterloo Waterloo ONT Canada

ISBN: (纸本)0769525210

Segmentation of images into disjoint regions and interpretation of the regions for semantic meanings are two central tasks in an image analysis system. Typically, the segmentation and interpretation are performed separately with the interpretation as a post processing of segmentation. In this paper, we use an iterative method that keeps refining the segmentation and producing semantic class labels at the same time. the segmentation algorithm is based on a region growing technique and the interpretation is a Markov random field (MRF) based classification. the two processes are integrated under the Bayesian framework, with both aiming at reducing a defined energy. the interactions between the two are bidirectional by letting the interpretation result have some degree of control on the region growing process. Various features can hence be efficiently combined, and accurate classifications are obtained for operational synthetic aperture radar (SAR) sea ice applications

关键词： image segmentation Sea ice image analysis Iterative algorithms Markov random fields Bayesian methods Shape System analysis and design Design engineering systems engineering and theory

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Using Extended EM to Segment Planar Structures in 3D

Using Extended EM to Segment Planar Structures in 3D

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International conference on Pattern Recognition

作者： R. Lakaemper L.J. Latecki Temple University Philadelphia PA USA

the proposed algorithm segments planar structures out of data gained from 3D laser range scanners, typically used in robotics. the approach first fits planar patches to the dataset, using a new, extended expectation maximization (EM) algorithm. this algorithm solves the classical EM problems of insufficient initialization by iteratively determining the number and positions of patches in a split and merge framework. Determining the fitting quality of the gained patches, the approach then allows for segmentation of planar surfaces out of the 3D environment. the result is a set of 2D objects, which can be used as input for classical computer vision applications, in particular for object recognition. Our approach makes it possible to apply classical tools of 2D image processing to solve problems of 3D robot mapping, e.g. landmark recognition

关键词： Iterative algorithms Laser radar Surface fitting image segmentation Robot sensing systems Object recognition image processing Optical reflection Topology Filtering

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An Omnidirectional Stereo Vision System Using a Single Camera

An Omnidirectional Stereo Vision System Using a Single Camer...

引用

International conference on Pattern Recognition

作者： Sooyeong Yi N. Ahuja Division of Electronics and Information Engineering Chonbuk National University of Korea South Korea Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA

ISBN: (纸本)0769525210

We describe a new omnidirectional stereo imaging system that uses a concave lens and a convex mirror to produce a stereo pair of images on the sensor of a conventional camera. the light incident from a scene point is split and directed to the camera in two parts. One part reaches camera directly after reflection from the convex mirror and forms a single-viewpoint omnidirectional image. the second part is formed by passing a subbeam of the reflected light from the mirror through a concave lens and forms a displaced single viewpoint image where the disparity depends on the depth of the scene point. A closed-form expression for depth is derived. Since the optical components used are simple and commercially available, the resulting system is compact and inexpensive. this, and the simplicity of the required image processing algorithms, make the proposed system attractive for real-time applications, such as autonomous navigation and object manipulation. the experimental prototype we have built is described

关键词： Stereo vision Cameras Mirrors Lenses Layout Optical imaging image sensors Sensor phenomena and characterization Sensor systems Optical reflection

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Multichannel image processing system for thermal supervision systems

Multichannel image processing system for thermal supervision...

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18th International conference on Photoelectronics and Night Vision Devices

作者： Zorin, AA Razumova, II Tarkov, VA Siberian Res Inst Opt Syst Novosibirsk 630049 Russia

ISBN: (纸本)0819458287

Foundation principles of multichannel real-time information processing system, which is solving a problem of automatic object tracking, are considered in this work. image processing algorithms, which are used for three-channel system foundation and optimally approaching for system core - Microprocessor Neuro Matrix NM6403 are realized. Information processing is accomplished with using of Hopfield neural network, one 384x288 frame processing time is about 100... 140 ms.

关键词： Data processing Neural networks image processing Automatic tracking Detection and tracking algorithms Evolutionary algorithms Convolution Data analysis image quality Visualization

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A ringing metric to evaluate the quality of images restored using iterative deconvolution algorithms

A ringing metric to evaluate the quality of images restored ...

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18th International conference on systems Engineering (ICSEng 2005)

作者： Balasubramanian, M Iyengar, SS Reynaud, J Beuerman, RW Louisiana State Univ Baton Rouge LA 70803 USA

ISBN: (纸本)0769523595

Iterative deconvolution algorithms exhibit increased ringing artifacts at higher number of iterations. Quantitative image analysis techniques such as optical flow algorithms are sensitive to these artifacts. We propose to use an image quality metric to identify the terminal step of iterative restoration algorithms. Frequency based metrics have difficulties in distinguishing the ringing artifacts from the image features. Spatial analysis techniques require extensive processing making them unsuitable for real-time image quality measurement as needed in iterative image restoration. We propose a novel ringing metric using binary morphological operators and demonstrate the method on the images of random cotton fibers acquired using white light confocal microscope.

关键词： image quality

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Proximity graphs for clustering and manifold Learning

Proximity graphs for clustering and manifold Learning

引用

18th Annual conference on Neural Information processing systems, NIPS 2004

作者： Carreira-Perpiñán, Miguel Á. Zemel, Richard S. Dept. of Computer Science University of Toronto 6 King's College Road Toronto ON M5S 3H5 Canada

ISBN: (纸本)0262195348

Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as vertices. this graph is then partitioned (clustering) or used to redefine metric information (dimensionality reduction). there has been much recent work on new methods for graph-based clustering and dimensionality reduction, but not much on constructing the graph itself. Graphs typically used include the fullyconnected graph, a local fixed-grid graph (for image segmentation) or a nearest-neighbor graph. We suggest that the graph should adapt locally to the structure of the data. this can be achieved by a graph ensemble that combines multiple minimum spanning trees, each fit to a perturbed version of the data set. We show that such a graph ensemble usually produces a better representation of the data manifold than standard methods;and that it provides robustness to a subsequent clustering or dimensionality reduction algorithm based on the graph.

关键词： image segmentation

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A ringing metric to evaluate the quality of images restored using iterative deconvolution algorithms

A ringing metric to evaluate the quality of images restored ...

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IEEE International conference on systems Engineering

作者： M. Balasubramanian S.S. Iyengar J. Reynaud R.W. Beuerman Computer Science LSU USA Eye Centre LSUHSC USA Ophthalmology LSUHSC USA

关键词： image restoration Deconvolution Iterative algorithms image analysis image quality Optical sensors image motion analysis Frequency Cotton Microscopy

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A low power reprogrammable parallel processing VLSI architecture for computation of B-spline based medical image processing system for fast characterization of tiny objects suspended in cellular fluid

A low power reprogrammable parallel processing VLSI architec...

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International conference on VLSI Design

作者： Sabyasachi Mondal Arijit De P.K. Biswas Department of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur West Bengal India

ISBN: (纸本)0769522645

In this paper a novel medical image processing system is discussed. the core of the system is developed using a 16-bit fixed-point parallel architecture B-spline signal processing system. the statistical measure of finite word length effect is analytically developed. A modified algorithm for the reduced hardware reprogrammable interpolator has been designed. Finally some suitable modification in the hardware is made to reduce the power consumption.

关键词： Parallel processing Very large scale integration Computer architecture Concurrent computing Spline Biomedical image processing Signal processing algorithms Hardware Parallel architectures Length measurement

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Improvement and optimization of a fuzzy C-means clustering algorithm

Improvement and optimization of a fuzzy C-means clustering a...

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IEEE Instrumentation and Measurement Technology conference

作者： Yi Shen Hong Shi Jian Qiu Zhang Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Engineering University of Greenwich Chatham Kent UK

ISBN: (纸本)0780366468

In this paper, an improved FCM clustering algorithm is proposed. Unlike a traditional FCM clustering algorithm whose convergence is sensitive to its initial parameters, the proposed algorithm based on fuzzy decision theory can automatically and adaptively select these parameters with optimal values. the simulation results indicate that the modified algorithm not only overcomes the ill phenomena of the FCM algorithms available now, but also is robust to the selection of the weighting constants.

关键词： Clustering algorithms Convergence Decision theory Fuzzy sets Pattern recognition Robustness Pattern analysis Learning systems image recognition image processing

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