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2009 ieee computer society conference on computer Vision and pattern recognition Workshops, CVPR Workshops 2009 2009年

作者： Todorovic, Sinisa Zhu, Song-Chun School of EECS Oregon State University United States Departments of Statistics and Computer Science University of California Los Angeles United States

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A rate distortion method for beamforming in RF image formation

A rate distortion method for beamforming in RF image formati...

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35th Applied imagery and pattern recognition Workshop, AIPR 2006

作者： Bonneau, Robert J. AFRL IFTC

ISBN: (纸本)0769527396

Conventional RF image formation relies on a fixed waveform set that is based largely on obtaining maximum resolution for a given amount of bandwidth present in a waveform. However, the correlation process for a given waveform set varies widely depending on the cross correlation properties of the waveform and the geometry of the aperture interrogating the object to be imaged. We propose a method that maximizes quality of the imagery being reconstructed based by first using an orthogonal basis to minimize the unwanted correlation response for the waveform. We then shape the frequency and temporal correlation response of the waveform for a given target using a rate distortion criteria and demonstrate the performance of the method. © 2006 ieee.

关键词： Beamforming

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An image metric-based ATR performance prediction testbed

An image metric-based ATR performance prediction testbed

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35th Applied imagery and pattern recognition Workshop, AIPR 2006

作者： Ralph, Scott K. Irvine, John Snorrason, Magnús Vanstone, Steve Charles River Analytics Cambridge MA United States SAIC Burlington MA United States AMRDEC Redstone Arsenal AL United States

ISBN: (纸本)0769527396

Automatic target detection (ATD) systems process imagery to detect and locate targets in imagery in support of a variety of military missions. Accurate prediction of ATD performance would assist in system design and trade stud-ies, collection management, and mission planning. A need exists for ATD performance prediction based exclusively on information available from the imagery and its associated metadata. We present a predictor based on image measures quantifying the intrinsic ATD difficulty on an image. The modeling effort consists of two phases: a learn-ing phase, where image measures are computed for a set of test images, the ATD performance is measured, and a prediction model is developed;and a second phase to test and validate performance prediction. The learning phase produces a mapping, valid across various ATR algorithms, which is even applicable when no image truth is avail-able (e.g., when evaluating denied area imagery). The testbed has plug-in capability to allow rapid evaluation of new ATR algorithms. The image measures employed in the model include: statistics derived from a constant false alarm rate (CFAR) processor, the Power Spectrum Signature, and others. We present a performance predictor using a trained classifier ATD that was constructed using GENIE, a tool developed at Los Alamos National Laboratory. The paper concludes with a discussion of future research © 2006 ieee.

关键词： Testbeds

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Detecting rotational symmetries

Detecting rotational symmetries

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proceedings - 10th ieee International conference on computer Vision, ICCV 2005

作者： Prasad, V. Shiv Naga Davis, Larry S. University of Maryland - College Park College Park MD 20742 United States

ISBN: (纸本)076952334X

We present an algorithm for detecting multiple rotational symmetries in natural images. Given an image, its gradient magnitude field is computed, and information from the gradients is spread using a diffusion process in the form of a Gradient Vector Flow (GVF) field. We construct a graph whose nodes correspond to pixels in the image, connecting points that are likely to be rotated versions of one another. The n-cycles present in the graph are made to vote for Cn symmetries, their votes being weighted by the errors in transformation between GVF in the neighborhood of the voting points, and the irregularity of the n-sided polygons formed by the voters. The votes are accumulated at the centroids of possible rotational symmetries, generating a confidence map for each order of symmetry. We tested the method with several natural images. © 2005 ieee.

关键词： pattern recognition

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Optimal target location in multichannel images 1

Optimal target location in multichannel images

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1st International Workshop on image and Signal processing and Analysis (IWISPA 2000) in conjunction with the 22nd International conf on Informat Technol Interfaces

作者： Guillaume, M Campos, J ENSPM St Jerome Phys & Image Proc Grp Fresnel Inst F-13397 Marseille 20 France

ISBN: (纸本)9539676924

We propose algorithms for the location of a known target in a multichannel image, optimal for the multichannel model of the image, and optimal for the noise model of the image. We consider two noise models: Gaussian additive, and Gaussian non-overlapping. We show on simulations the improvement due to the multichannel model of the image, compared with the monochannel case. For simulations, the multichannel images are color images.

关键词： multichannel images detection theory pattern recognition Bayesian estimation

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Efficient bundle adjustment with virtual key frames: A hierarchical approach to multi-frame structure from motion

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proceedings of the ieee computer society conference on computer Vision and pattern recognition 1999年 2卷 538-543页

作者： Shum, Heung-Yeung Ke, Qifa Zhang, Zhengyou Microsoft Research China Beijing China

In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bundle adjustment for the whole sequence. The image sequence is first divided into a number of segments so that feature points can be reliably tracked across each segment. Each segment has a long baseline to ensure accurate 3D reconstruction. To efficiently bundle adjust 3D structures from all segments, we reduce the number of frames in each segment by introducing `virtual key frames'. The virtual frames encode the 3D structure of each segment along with its uncertainty but they form a small subset of the original frames. Our method achieves significant speedup over conventional bundle adjustment methods.

关键词： computer vision image coding image reconstruction image segmentation Structure from motion (SFM) Virtual key frames

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Panoramic EPI generation and analysis of video from a moving platform with vibration

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proceedings of the ieee computer society conference on computer Vision and pattern recognition 1999年 2卷 531-537页

作者： Zhu, Zhigang Xu, Guangyou Lin, Xueyin Tsinghua Univ Beijing China

This paper presents a novel approach for generating and analyzing epipolar plane images (EPIs) from video sequences taken from a moving platform subject to vibration so that the 3D model of an arbitrary scene can be constructed. Two problems are solved in our approach: (1) how to generate EPIs from video under a more general motion than a pure translation; (2) how to analyze the huge amount of data in the EPIs robustly and efficiently. For the first problem, a 3D image stabilization method is proposed which decouples the vibration from the vehicle's motion so that good EPIs and panoramic view images (PVIs) can be generated. For the second problem, we propose an efficient panoramic EPI analysis (PEPIA) method in which only one scanline of each EPI is processed. The PEPIA combines advantages of PVIs and EPIs and consists of three important steps: locus orientation detection, motion boundary localization, and occlusion/resolution recovery. The output of the PEPIA - a layered 3D panorama, is very useful in visual navigation and virtual reality modeling. Since camera calibration, image segmentation, feature extraction and matching are avoided, all the proposed algorithms are fully automatic and rather general. Results on real image sequences are given.

关键词： computer vision Algorithms image recording Video cameras Virtual reality Epipolar plane images (EPIs) Panoramic view images (PVIs)

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Extracting nonrigid motion and 3D structure of hurricanes from satellite image sequences without correspondences

Proceedings of the IEEE Computer Society Conference on Compu...

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proceedings of the ieee computer society conference on computer Vision and pattern recognition 1999年 2卷 280-285页

作者： Zhou, Lin Kambhamettu, Chandra Goldgof, Dmitry B. Univ of Delaware Newark United States

ISBN: (纸本)0769501494

image sequences capturing Hurricane Luis through meteorological satellites (GOES-8 and GOES-9) are used to estimate hurricane-top heights (structure) and hurricane winds (motion). This problem is difficult not only due to the absence of correspondences but also clue to the lack of depth cues in the 2D hurricane images (scaled orthographic projection). In this paper, we present a structure and motion analysis system, called SMAS. In this system, the hurricane images are first segmented into small square areas. We assume that each small area is undergoing similar nonrigid motion. A suitable nonrigid motion model for cloud motion is first defined. Then, non-linear least-square method is used to fit the nonrigid motion model for each area in order to estimate the structure, motion model, and 3D nonrigid motion correspondences. Finally, the recovered hurricane-top heights and winds are presented along with an error analysis. Both structure and 3D motion correspondences are estimated to subpixel accuracy. Our results are very encouraging, and have many potential applications in earth and space sciences, especially in cloud models for weather prediction.

关键词： Feature extraction

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Bar-code recognition system using image processing

Bar-code recognition system using image processing

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ieee 6th International conference on Emerging Technologies and Factory Automation (ETFA 97)

作者： Kuroki, M Yoneoka, T Satou, T Takagi, Y Kitamura, T Kayamori, N Hitachi Process Computer Engineering Inc Ibaraki Japan

ISBN: (纸本)0780341929

Information processing is fast developing in various sectors along with the spread of computer technology, The same goes for the commodity production and distribution industries where the bar code system is increasingly utilized as one of the most useful tools for recognizing unique information related to each commodity, While handy type bar-code readers are normally used by retail shops where small amounts of diverse products are handled, a system to quickly and automatically read out bar-code data pasted on a continuous flow of products Is required for use in production sites or distribution centers where large volumes of products are handled, Demands at site for the functionality and performance level of such systems are quite challenging, For instance, it is impossible to specify the location to paste a bar-code on a round container like a hat box, Cardboard cartons also come In variable sizes in very large quantities.

关键词： pattern recognition systems

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Modeling technique for the recognition and attitude estimation of 3-D objects

Modeling technique for the recognition and attitude estimati...

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proceedings of the ieee 1993 Pacific Rim conference on Communications, computers and Signal processing

作者： Cao, Jun Mao, Yimin He, Zhenya Southeast Univ Nanjing China

ISBN: (纸本)0780312198

This paper presents a novel method for rapid identification and 3-D attitude determination of the polyhedral objects. In this paper, we use a least set of 2-D projections called the distinct view set to represent the 3-D object. For each distinct view, a shape descriptor with multiple levels of abstraction is used so that the method is robust when the input image is noisy.

关键词： pattern recognition

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