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2002 ieee International symposium on Circuits and Systems

This Volume 3 of 5 of the conference proceedings contains 225 papers. Topics discussed include global and local motion estimation, communication networks, adaptive signal processing, applications of chaos, communicating radio frequency circuits, neural networks, Nyquist data conversion, testing and verification, voltage controlled oscillators and phase locked loops, reference circuits, multimedia watermarking, frequency response masking techniques, VLSI circuit styles, wireless architecture, delta-sigma modulators, translinear and companding filters, vision chips, multidimensional signals and systems, digital circuits synthesis and optimization, video over networks, analysis, design and simulation of power electronics circuits, transforms and multirate systems, wireless LAN design, chaos and information processing, applications of digital signal processing in communications, network theory and linear systems, network theory and linear systems, VLSI arithmetic, modeling and analysis of nonlinear systems, low voltage amplifiers, advanced signal processing for MIMO systems, imaging architectures, delta-sigma modulators, circuit linearization, analog computing circuits, computational graph theory for computer and communication systems, device and interconnect modeling, video segmentation, DC switching mode power supplies, speech processing, rf filter design and implementation and chaotic communications and signal processing.

关键词： Electric network analysis

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How accurate should be disparities estimated for image-based rendering? 4

How accurate should be disparities estimated for image-based...

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4th International symposium on Video/Image processing and multimedia Communications

作者： Izquierdo, E Univ London Queen Mary Coll Dept Elect Engn Multimedia & Vis Lab London E1 4NS England

ISBN: (纸本)9537044017

Disparity estimation is the basis for the generation of virtual view from a small set of real reference images. Much research on this area has been conducted by the computer vision community over the last decade. Currently, most problems involved in this technology are well understood and there exist several well-established algorithms to render virtual views from perspectivelly different images of the same scene. However, most work has been oriented towards high-accuracy disparity estimation to produce high-quality virtual images, often using sophisticated purpose-built hardware accelerators to achieve real-time results. In this paper two disparity estimators with different complexity degrees are described and used to examine how much disparity inaccuracies influence image rendering quality. The objective of this study is to design software-based image synthesis in real-time on conventional PC platforms. Basically, this work looks at the opposite end of the cost-complexity curve by making very restrained demands to the disparity estimator. It is empirically shown that in many cases the effect of disparity accuracy in the quality of virtual views is almost imperceptible and that for many applications requiring real-time processing reasonable good results can be achieved with less computational cost.

关键词： Rendering (computer graphics)

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Fuzzy integral for leaf image retrieval

Fuzzy integral for leaf image retrieval

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ieee International Conference on Fuzzy Systems (FUZZ-ieee)

作者： Zhiyong Wang Zheru Chi Dagan Feng Center for Multimedia Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Kowloon Hong Kong China

Generally, the more features utilized, the better the retrieval performance. However, it is a very challenging task to combine different feature sets in a way reflecting human perception. This paper presents the combination of different shape based feature sets using fuzzy integral for leaf image retrieval. The feature sets used in our system include centroid-contour distance curve, eccentricity, and angle code histogram. The fuzzy integral approach can release the user's burden from tuning the combination parameters. In order to reduce the matching time in the retrieval process, a thinning based method is proposed to locate the start point of a leaf contour. Experimental results on 440 leaf images from 44 plant species (10 samples from each plant species) show that the fuzzy integral approach can achieve a comparable retrieval performance with the best case of the weighted summation combination. The results also indicate that our approach, which are more efficient, can achieve a better retrieval performance than both the curvature scale space (CSS) method and the modified Fourier descriptor (MFD) method.

关键词： Image retrieval Shape Plants (biology) Histograms Computer vision Humans Fuzzy sets Cascading style sheets Image recognition signal processing

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Panoramic mosaicing with image interpolation

Panoramic mosaicing with image interpolation

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International symposium on Intelligent multimedia, Video and Speech processing

作者： Zong-Cai Ruan Dong Liang Sui Wei Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University of Science and Technology Hefei China

ISBN: (纸本)9628576623

Panoramic mosaics methods based on an 8-parameter planar homography matrix have to overcome the accumulated errors when a sequence of images loops back on itself. Usual methods are computationally intensive, and cannot ensure complete consistency of homographies. The paper presents a simple method which does not require the consistency of homographies. The method mainly exploits an un-calibrated image perspective interpolation technique (B. Yuan et al., 1998). It is therefore simple to calculate and easy to implement.

关键词： Interpolation Transmission line matrix methods Matrix decomposition Equations Error correction computational intelligence signal processing Nonlinear optics Optical signal processing Image motion analysis

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Target reaching by using visual information and Q-learning controllers

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AUTONOMOUS ROBOTS 2000年第1期9卷 41-50页

作者： Distante, C Anglani, A Taurisano, F Univ Lecce Dipartimento Ingn Innovaz I-73100 Lecce Italy CNR Signal & Image Processing Inst IESI I-70126 Bari Italy

This paper presents a solution to the problem of manipulation control: target identification and grasping. The proposed controller is designed for a real platform in combination with a monocular vision system. The objective of the controller is to learn an optimal policy to reach and to grasp a spherical object of known size, randomly placed in the environment. In order to accomplish this, the task has been treated as a reinforcement problem, in which the controller learns by a trial and error approach the situation-action mapping. The optimal policy is found by using the Q-Learning algorithm, a model free reinforcement learning technique, that rewards actions that move the arm closer to the target. The vision system uses geometrical computation to simplify the segmentation of the moving target (a spherical object) and determines an estimate of the target parameters. To speed-up the learning time, the simulated knowledge has been ported on the real platform, an industrial robot manipulator PUMA 560. Experimental results demonstrate the effectiveness of the adaptive controller that does not require an explicit global target position using direct perception of the environment.

关键词： reinforcement learning behavior based robotic manipulator visual servoing Hough transform

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ieee International Parallel and Distributed processing symposium, IPDPS 2000

IEEE International Parallel and Distributed Processing Sympo...

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ieee International Parallel and Distributed processing symposium, IPDPS 2000

ISBN: (纸本)354067442X

The proceedings contain 179 papers. The special focus in this conference is on Personal Computer Based Networks of Workstations, Advances in Parallel, Distributed computational Models and Video processing. The topics include: MPI collective operations over IP multicast;an open market-based architecture for distributed computing;the multicluster model to the integrated use of multiple workstation clusters;parallel information retrieval on an SCI-based pc-now;a pc-now based parallel extension for a sequential DBMS;the heterogeneous bulk synchronous parallel model;a new computation of shape moments via quadtree decomposition;a java applet to visualize algorithms on reconfigurable mesh;a hardware implementation of pram and its performance evaluation;a non-binary parallel arithmetic architecture;multithreaded parallel computer model with performance evaluation;a high performance microprocessor for multimedia computing;a novel superscalar architecture for fast DCT implementation;computing distance maps efficiently using an optical bus;advanced data layout optimization for multimedia applications;parallel parsing of mpeg video in a multi-threaded multiprocessor environment;parallelization techniques for spatial-temporal occupancy maps from multiple video streams;heuristic solutions for a mapping problem in a TV-anytime server network;a programming environment for real-time parallel vision;parallel low-level image processing on a distributed memory system;congestion-free routing of streaming multimedia content in BMIN-based parallel systems;performance of on-chip multiprocessors for vision tasks;specification techniques for automatic performance analysis tools and controlling distributed shared memory consistency from high level programming languages.

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Determining the skeletal description of sparse shapes

Determining the skeletal description of sparse shapes

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Proceedings of the 1997 ieee International symposium on computational intelligence in Robotics and Automation, CIRA

作者： Singh, Rahul Cherkassky, Vladimir Papanikolopoulos, Nikolaos P. Univ of Minnesota Minneapolis United States

A variety of techniques in machine vision involve representation of objects by using their shape skeleton. Many algorithms have been proposed to date for obtaining the skeletal shape of digital images. The noise models predominantly used in these techniques are restricted to boundary noise. In particular, instances of noise occurring inside object regions and causing their non-contiguity are precluded. In this paper we present a method to obtain the skeletal shape of binary images in the presence of both boundary noise and noise occurring inside object regions. We propose to obtain the skeletal shape of such images by a modified version of the Kohonen self-organizing map, implemented in a batch processing mode. The modifications allow the map to adapt to the input shape distribution. At each iteration, a competitive Hebbian rule is used to progressively compute the Delaunay triangulation of the shape. Information from the triangulation augments the map topology to yield the final skeletal shape. The batch mode implementation of the self-organizing process, allows our approach to compare very favorably, in terms of computational time, with the traditional flowthrough implementations. Encouraging experimental performance has been obtained on a variety of shapes under varying signal to noise ratios.

关键词： Computer vision

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Determining the skeletal description of sparse shapes

Determining the skeletal description of sparse shapes

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ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： R. Singh V. Cherkassky N.P. Papanikolopoulos Artificial Intelligence Robotics and Vision Laboratory Department of Computer Science University of Minnesota Minneapolis MN USA Department of Electrical Engineering University of Minnesota Minneapolis MN USA

A variety of techniques in machine vision involve representation of objects by using their shape skeleton. In this paper we present a method to obtain the skeletal shape of binary images in the presence of both boundary noise and noise occurring inside object regions. We propose to obtain the skeletal shape of such images by a modified version of the Kohonen self-organizing map, implemented in a batch processing mode. The modifications allow the map to adapt to the input shape distribution. At each iteration, a competitive Hebbian rule is used to progressively compute the Delaunay triangulation of the shape. Information from the triangulation augments the map topology to yield the final skeletal shape. The batch mode implementation of the self-organizing process, allows our approach to compare very favourably, in terms of computational time, with the traditional flowthrough implementations. Encouraging experimental performance has been obtained on a variety of shapes under varying signal to noise ratios.

关键词： Shape Noise shaping Skeleton Intelligent robots Machine vision Computer vision Noise level Noise figure Machine intelligence Robot vision systems

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A heterogeneous processing (HP) framework for multimedia query processing

A heterogeneous processing (HP) framework for multimedia que...

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1995 Heterogeneous Computing Workshop, HCW 1994

作者： Khokhar, Ashfaq Ghafoor, Arif Distributed Multimedia Systems Lab. School of Electrical Engineering Purdue University West LafayetteIN47907 United States

ISBN: (纸本)0818655925

In this paper, we define a novel system based on a hierarchical computational and data abstraction model to handle multimedia queries involving face recognition, scene matching, and speech recognition. For this purpose, the system integrates the state of the art research in diverse areas in computational sciences, including parallel processing, computer vision and image processing, artificial intelligence, multimedia databases, and speech and signal processing. This system uses a heterogeneous processing framework consisting state of the art image understanding and signal processing algorithms in addition to content-based retrieval techniques. These algorithms comprise of parallel coarse grained (MIMD) symbolic and fine grained (SIMD) numeric algorithms at various levels of this hierarchical model. © 1994 ieee.

关键词： Content based retrieval

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