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Efficient computation of vanishing points

Efficient computation of vanishing points

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： J. Kogecka Wei Zhang Dept. of Comput. Sci. George Mason Univ. Fairfax VA USA Department of Computer Science George Mason University Fairfax VA USA

Man-made environments possess a lot of regularities which simplify otherwise difficult pose estimation and visual reconstruction tasks. The constraints arising front parallel and orthogonal lines and planes can be efficiently exploited at various stages of vision processing pipeline. In this paper we propose an approach for estimation of vanishing points by exploiting the constraints of structured man-made environments, where the majority of lines is aligned with the principal orthogonal directions of the world coordinate frame. We combine efficient image processing techniques used in the line detection and initialization stage with simultaneous grouping and estimation of vanishing directions using expectation maximization (EM) algorithm. Since we assume an uncalibrated camera the estimated vanishing points can be used towards partial camera calibration and estimation of the relative orientation of the camera with respect to the scene. The presented approach is computationally efficient and has been verified extensively by experiments.

关键词： Cameras Robot vision systems Layout Calibration image segmentation Application software image edge detection Computer science Pipelines image processing

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Video quality assessment using structural distortion measurement

Video quality assessment using structural distortion measure...

引用

IEEE International conference on image processing

作者： Zhou Wang Ligang Lu A.C. Bovik Lab for Image and Video Engi. Department of ECE University of Texas Austin Austin TX USA Multimedia Technologies IBM Thomas J. Watson Research Center Yorktown Heights NY USA

Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, restoration and enhancement. Most proposed quality assessment approaches in the literature are error sensitivity-based methods. We follow a new philosophy in designing image/video quality metrics, which uses structural distortion as an estimation of perceived visual distortion. We develop a new approach for video quality assessment. Experiments on the video quality experts group (VQEG) test data set shows that the new quality measure has higher correlation with subjective quality measurement than the proposed methods in VQEG's Phase I tests for full-reference video quality assessment.

关键词： Quality assessment Distortion measurement Video compression Testing TV Humans image coding Printing image analysis image restoration

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Performance assessment of baseband algorithms for direct conversion tactical software defined receivers: I/Q imbalance correction, image rejection, DC removal, and channelization

Performance assessment of baseband algorithms for direct con...

引用

MILCOM, Military communications conference

作者： M.K. Nezami Raytheon Company Saint Petersburg FL USA

This paper addresses issues relating to software-defined receivers. Namely radio frequency (RF) to baseband architectures and the signal processing algorithms involved. Several direct conversion receiver architectures are introduced and analyzed for their performance. Issues relating to the quadrature imbalances and DC offset impairments are analyzed and detailed. To estimate and compensate for these impairments, several DSP algorithms are proposed and simulated for use with these receivers.

关键词： Baseband Software algorithms image converters Software performance Signal processing algorithms Receivers Radio frequency Computer architecture Performance analysis Digital signal processing

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Sub-picture: ROI coding and unequal error protection

Sub-picture: ROI coding and unequal error protection

引用

IEEE International conference on image processing

作者： M.M. Hannuksela Y.-K. Wang M. Gabbouj Nokia Mobile Software Tampere Finland Tampere International Center for Signal Processing (TICSP) Tampere Finland Tampere University of Technology Finland

Region-of-interest coding and unequal error protection are two important tools in video communication systems to improve the received visual quality. One common property of the two techniques is that unequal coding or transmission is applied to improve the quality of the most important parts of images. The proposed sub-picture coding technique facilitates both region-of-interest coding and unequal error protection by partitioning images to regions of interest and separating the corresponding coded data units from each other. Simulation results show that the overall subjective quality is considerably improved compared to the conventional coding schemes.

关键词： Error correction codes image coding Video coding Scalability Decoding Shape MPEG 4 Standard Quality of service Bit rate Communication system software

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Adaptive two-pass median filter to remove impulsive noise

Adaptive two-pass median filter to remove impulsive noise

引用

IEEE International conference on image processing

作者： Xiaoyin Xu E.L. Miller Center for Subsurface Sensing and Imaging Systems Northeastern University Boston MA USA

In this paper, we present an adaptive two-pass median filter to remove impulsive noise. In two-pass median filtering, an image contaminated by impulsive noise is processed by a median filter twice. Median filtering is a non-reversible process, i.e., useful information discarded by the filter cannot be recovered. This behavior becomes more apparent in two-pass median filtering. To correct this problem, between the two filtering processes we introduce an adaptive process to selectively replace some pixels by their original values based on the spatial distribution of estimated impulsive noise. Compared with standard median filtering and two-pass median filtering, better results are obtained in terms of visual appreciation and mean squared error. We use examples to demonstrate the performance of the method.

关键词： Adaptive filters Signal to noise ratio Pixel Gaussian noise Information filtering Information filters image processing Process design Noise level Gaussian distribution

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Video frame alignment in multiple views

Video frame alignment in multiple views

引用

IEEE International conference on image processing

作者： S. Kuthirummal C.V. Jawahar P.J. Narayanan Centre for Visual Information Technology International Institute of Information Technology Hyderabad India

Many events are captured using multiple cameras today. Frames of each video stream have to be synchronized and aligned to a common time axis before processing them. Synchronization of the video streams necessarily needs a hardware based solution that is applied while capturing. The alignment problem between the frames of multiple videos can be posed as a search using traditional measures for image similarity. Multiview relations and constraints developed in Computer Vision recently can provide more elegant solutions to this problem. In this paper, we provide two solutions for the video frame alignment problem using two view and three view constraints. We present solutions to this problem for the case when the videos are taken using affine cameras and for general projective cameras. Excellent experimental results are achieved by our algorithms.

关键词： Cameras Streaming media Information technology Computer vision Shape measurement Hardware image reconstruction Stereo vision Vehicle dynamics Application software

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A novel skin color model in YCbCr color space and its application to human face detection

A novel skin color model in YCbCr color space and its applic...

引用

IEEE International conference on image processing

作者： Son Lam Phung A. Bouzerdoum D. Chai Visual Information Processing Research Group Edith Cowan University WA Australia

This paper presents a new human skin color model in YCbCr color space and its application to human face detection. Skin colors are modeled by a set of three Gaussian clusters, each of which is characterized by a centroid and a covariance matrix. The centroids and covariance matrices are estimated from large set of training samples after a k-means clustering process. Pixels in a color input image can be classified into skin or non-skin based on the Mahalanobis distances to the three clusters. Efficient post-processing techniques namely noise removal, shape criteria, elliptic curve fitting and face/non-face classification are proposed in order to further refine skin segmentation results for the purpose of face detection.

关键词： Skin Humans Face detection Covariance matrix Pixel Colored noise Noise shaping Shape Elliptic curves Curve fitting

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Software generation of address-event-representation for interchip images communications

Software generation of address-event-representation for inte...

引用

Annual conference of Industrial Electronics Society

作者： A. Linares-Barranco G. Jimnez A. Civit J.L. Sevillano R. Paz Arquitectura y Tecnologia de Computadores. Universidad de Sevilla Sevilla SPAIN Universidad de Sevilla Sevilla AndalucÃa ES Arquitectura y Tecnologia de Computadores Univ. de Sevilla Spain

Address-event-representation (AER) is a communications protocol for transferring images between chips, originally developed for bio-inspired image processing systems. Such systems may consist of a complicated hierarchical structure with many chips that transmit images among them in real time, while performing some processing (for example, convolutions). In developing AER based systems it is very convenient to have available some kind of means of generating AER streams from on-computer stored images. In this paper we present a method for generating AER streams in real time from images stored in a computer's memory. The method exploits the concept of linear feedback shift register random number generators. This method has been tested by software and compared to other possible algorithms for generating AER streams. It has been found that the proposed method yields a minimum error with respect to the ideal situation. A hardware platform that exploits this technique is currently under development.

关键词： image communication Streaming media Protocols image processing Real time systems Linear feedback shift registers Random number generation Software testing Software algorithms Computer errors

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Fast lossless color image compressing method using neural network

Fast lossless color image compressing method using neural ne...

引用

IEEE Region 10 International conference TENCON

作者： Kebin Jia Sheng Fang Shubo Dun China Chao Yang District Beijing Polytechnic University Beijing China

ISBN: (纸本)0780374908

The technique of lossless image compression plays an important role in image transmission and storage for high quality. At present, both the compression ratio and processing speed should be considered in a real-time multimedia system. A novel lossless compression algorithm is researched. A low complexity predictive model is proposed using the correlation of pixels and color components. In the meantime, perception in neural network is used to rectify the prediction values adaptively. It makes the prediction residuals smaller and in a small dynamic scope. Also, a color space transform is used and good decorrelation is obtained in our algorithm. Compared to the new standard JPFG-LS, this predictive model reduces its computational complexity. The compared experimental results have shown that our algorithm has noticeable better performance than the traditional algorithms. Moreover, its speed is faster than the JPEG-LS with negligible performance sacrifice.

关键词： Color image coding Neural networks image storage Predictive models Propagation losses image communication Real time systems Multimedia systems Compression algorithms

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Application of bit-plane decomposition steganography to wavelet encoded images

Application of bit-plane decomposition steganography to wave...

引用

IEEE International conference on image processing

作者： H. Noda J. Spaulding M.N. Shirazi M. Niimi E. Kawaguchi Kyushu Institute of Technology Kitakyushu Japan Communications Research Laboratories Kyoto Japan

This paper presents a steganography method based on a lossy wavelet compression scheme and bit-plane complexity segmentation (BPCS) steganography. This method utilizes the embedded zerotree wavelet (EZW) compression scheme, where wavelet coefficients of an image are quantized into a bit-plane structure. The proposed steganography enables us to use lossy compressed images as dummy files in bit-plane-based steganographic algorithms. Large embedding rates of around 25% of the compressed image size were achieved with little noticeable degradation in image quality. The proposed method can be applied to other wavelet-based lossy compression schemes like SPIHT and JPEG2000, because in these compression schemes the wavelet coefficients are also quantized into a bit-plane structure.

关键词： Steganography image coding Wavelet coefficients image segmentation Transform coding Containers Humans Color Laboratories image quality

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