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A layered approach to robust lane detection at night

A layered approach to robust lane detection at night

引用

IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, CIVVS

作者： Amol Borkar Monson Hayes Mark T. Smith Sharathchandra Pankanti Center of Signal and Image Processing (CSIP) Georgia Institute of Technology USA Department of Communication Systems KTH Swedish Royal Institute of Technology Sweden Exploratory Computer Vision Group (ECVG) IBM Thomas J. Watson Research Center USA

A layered approach is designed to address many of the real-world problems that an inexpensive lane detection system would encounter. A region of interest is first extracted from the image followed by an enhancement procedure to manipulate the shape of the lane markers. The extracted region is then converted to binary using an adaptive threshold. A model based line detection system hypothesizes lane position. Finally, an iterated matched filtering scheme estimates the final lane position. The developed system shows good performance when tested on real-world data that contains fluctuating illumination and a variety of traffic conditions.

关键词： Robustness image edge detection Cameras image converters Lighting Road accidents Automobiles Pixel Road transportation image segmentation

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Accurate and fast 3D colon segmentation in CT colonography

Accurate and fast 3D colon segmentation in CT colonography

引用

IEEE International Symposium on Biomedical Imaging

作者： Dongqing Chen Rachid Fahmi Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Department of Medical Imaging Jewish Hospital and Saint Marys Healthcare Louisville KY USA Division of Gastroenterology/Hepatology Department of Medicine University of Louisville Louisville KY USA

ISBN: (纸本)9781424439317

This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liquid is removed by a threshold value. The closed contours are propagated toward the desired 3D region boundaries through the iterative evolution of the adaptive level sets function. The proposed method has been tested on 22 real CT colonography datasets with various pathologies, and the segmentation accuracy has achieved 98.40%.

关键词： Colonography Colon Virtual colonoscopy Cancer image segmentation Colonic polyps Level set Deformable models Computed tomography Visualization

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Efficient geometric matching with higher-order features

Efficient geometric matching with higher-order features

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作者： Paramanand, C. Rajagopalan, A.N. Image Processing and Computer Vision Lab. Department of Electrical Engineering IIT Madras India

ISBN: (纸本)9781424421756

We propose a new technique in which line segments and elliptical arcs are used as features for recognizing image patterns. By using this approach, the process of locating a model in a given image is efficient since the number of features to be compared is few. We propose distance measures to evaluate the similarity between the features of the model and that of the image. The model transformation parameters are found by searching the transformation space using cell decomposition. © 2008 IEEE.

关键词： Pattern recognition

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Analytical method for MGRF Potts model parameter estimation

Analytical method for MGRF Potts model parameter estimation

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作者： Ali, Asem M. Farag, Aly A. Gimel'farb, Georgy Computer Vision and Image Processing Laboratory University of Louisville United States Department of Computer Science University of Auckland New Zealand

ISBN: (纸本)9781424421756

This paper proposes a new analytical method for estimating parameters of a homogeneous isotropic Potts model with an asymmetric Gibbs potential function. The model is generalized by including both pairwise and triple cliques. The maximum likelihood estimates of the cliques potentials are obtained by a further elaboration of the approximate analytical estimator proposed in [8]. Experiments with synthetic textures have shown that our potential estimates are more accurate and practicable than their counterparts obtained with classical methods. © 2008 IEEE.

关键词： Potts model

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Appearance based 3d object recognition using IPCA-ICA 21

Appearance based 3d object recognition using IPCA-ICA

引用

21st Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2008

作者： Ananthashayana, V.K. Asha, V. Image Processing and Computer Vision Lab Department of Computer Science and Engineering M.S.Ramaiah Institute of Technology Bangalore India

Fast incremental non Gaussian directional analysis (IPCA-ICA) is proposed as a linear technique for recognition [1]. The basic idea is to compute the principal components as sequence of image vectors incrementally, without estimating the covariance matrix and at the same time transforming these principal components to the independent directions that maximize the non-Gaussianity of the source. In this paper we utilize the IPCA-ICA technique for 3D Object recognition by employing its neural network architecture. We illustrate the potential of IPCA-ICA on a database of 1440 images of 20 different objects captured by CCD camera. The excellent recognition rates achieved in all the performed experiments indicates that the present method is well suited for appearance based 3D object recognition. © 2008 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Principal component analysis

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On averaging face images for recognition under pose variations

On averaging face images for recognition under pose variatio...

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作者： Zhang, Xiaozheng Zhao, Sanqiang Gao, Yongsheng Computer Vision and Image Processing Lab Institute for Integrated and Intelligent Systems Griffith University Australia

ISBN: (纸本)9781424421756

Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or aging conditions. This paper investigates quantitatively the mechanism of the face averaging process in face recognition specifically against pose variations. Facilitated with 3D face dataset, the process of face averaging is tested on face images free from human errors and misalignments. Single images are chosen as gallery and the averaged views as probe in all the experiments. Three different scenarios are experimented, i.e., identification using single gallery images, identification using different gallery images, and averaging using unbalanced range of input image. The experimental results show that the averaging process under pose variations is equivalent to generating a face view in an average pose and the improvement in face recognition is subject to the conditions that the gallery pose is close to the average probe pose. © 2008 IEEE.

关键词： Face recognition

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A fast level set algorithm for shape-based segmentation with multiple selective priors

A fast level set algorithm for shape-based segmentation with...

引用

IEEE International Conference on image processing

作者： Rachid Fahmi Aly A. Farag Computer Vision & Image Processing laboratory University of Louisville Louisville KY USA

This paper addresses the shape-based segmentation problem using level sets. In particular, we propose a fast algorithm to solve the piece-wise constant Chan-Vese segmentation model with shape priors and labeling functions. Instead of directly solving the underlying PDE, we calculate the energy and check how it changes when we move image points from inside the region enclosed by the evolving interface to the outside region and vice-vera. This algorithm is then extended to the case of multi-phase Chan-Vese model, with multiple selective shape priors and a corresponding labeling function for each prior. This makes our algorithm different from that in [1] and other similar works in different aspects. On one hand, our algorithm is not restricted to two regions, but allows segmentation into several regions. On the other hand, more than one shape prior can be taken into account in our implementation. In addition, the proposed algorithm improves dramatically the computational speed. Experimental results, on both synthetic and real images, demonstrate the performance of our algorithm and the computational improvements it offers.

关键词： Level set image segmentation Shape Labeling computer vision image processing Laboratories Biomedical imaging Application software Noise shaping

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A new symmetric shape from shading algorithm with an application to 3-D face reconstruction

A new symmetric shape from shading algorithm with an applica...

引用

IEEE International Conference on image processing

作者： Abdelrehim Ahmed Aly Farag Thomas Starr Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

This paper presents a new symmetric shape from shading (SFS) algorithm where the self-ratio image irradiance equation proposed by Zhao and Chellappa is formulated as a partial differential equation (PDE) with a Dirichlet boundary condition. This PDE is solved using the Lax-Friedrichs sweeping method. The potential of the proposed symmetric SFS algorithm is demonstrated by several experiments on synthetic and real data. As an application, the proposed algorithm is used for 3-D face reconstruction.

关键词： Shape Partial differential equations Iterative algorithms Rough surfaces Surface roughness Face image reconstruction Differential equations Brightness Nonlinear equations

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Multispectral imaging with flash light sources

Multispectral imaging with flash light sources

引用

4th European Conference on Colour in Graphics, Imaging, and vision and 10th International Symposium on Multispectral Colour Science, CGIV 2008/MCS'08

作者： Brauers, Johannes Helllng, Stephan Aach, Til Institute of Imaging and Computer Vision RWTH Aachen University Templergraben 55 D-52056 Aachen Germany Color and Image Processing Research Group RWTH Aachen University Templergraben 55 D-52056 Aachen Germany

ISBN: (纸本)9781605607023

Flash photography is widely used in professional studios due to its high intensities and the resulting short exposure times. However, most multispectral image acquisition systems use continuous light sources. But since flashguns exhibit several advantages over heat light sources, namely high intensities at short firing times, low heat production and small aperture stops, we developed a multispectral flash acquisition system: We use a multispectral camera with a bandpass filter wheel and sequentially acquire grayscale images, which are then combined into a multispectral image. For each filter wheel position, we trigger the flash. The colorimetric analysis of the estimated spectra shows that flash light multispectral imaging performs comparably to a heat light source system, with a mean color error of δEoo = 1.594. We consider several aspects specific to flash light sources, namely the spectrum, repeat accuracy, illumination uniformity, calibration of the system, interference stripes and synchronization. © 2008 Society for Imaging Science and Technology.

关键词： Light sources

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Density estimation using a new AIC-type criterion and the EM algorithm for a linear combination of Gaussians

Density estimation using a new AIC-type criterion and the EM...

引用

IEEE International Conference on image processing

作者： Asem M. Ali Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY USA

We propose a new approach that approximates an empirical probability density function of scalar data with a linear combination of Gaussians (LCG). The proposed algorithm approximates the marginal density of each class using a Gaussian distribution. Number of the classes and their distributions parameters are estimated using a new Akaike Information Criterion (AlC)-type criterion and the Expectation- Maximization (EM) approach. Each class does not follow perfect Gaussian distribution so we refine the initial LCG model using a modified EM algorithm. The modified EM algorithm approximates the marginal density of each class using a LCG with positive and negative components. Experiments in segmenting multimodal medical images show that the developed technique gives promising accurate results.

关键词： Gaussian processes Function approximation Probability density function Gaussian approximation Gaussian distribution Parameter estimation image processing Clustering algorithms image segmentation Probability distribution

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