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EXPERIMENTS IN SEGMENTING TEXTON PATTERNS USING LOCALIZED SPATIAL FILTERS

PATTERN RECOGNITION 1989年第6期22卷 707-717页

作者： CLARK, M BOVIK, AC Laboratory for Vision Systems Computer and Vision Research Center Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712-1084 U.S.A

In this paper we apply a previously developed model of texture segmentation using multiple spatially and spectrally localized filters, known as Gabor filters, to the analysis of textures composed of elementary image features known as textons. It is found that for regularly- or irregularly-spaced texton patterns, the segmentation approach works well, in the sense that it is in accordance with visual segmentation. Differences in texton spacing, size, orientation, and phase are all found to lead to successful segmentations.

关键词： Texton Texture segmentation Localized spatial filter Gabor filter

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Exact multichannel blind image restoration

引用

IEEE SIGNAL PROCESSING LETTERS 1997年第8期4卷 217-220页

作者： Pai, HT Bovik, AC Laboratory for Vision Systems Depart-ment of Electrical and Computer Engineering University of Texas at Austin Austin

Recently, Liu and Xu proposed a bind symbol estimation algorithm in digital communications. If all the channels are linear time-invariant finite impluse response (LTI FIR) filters, this algorithm can estimate symbols exactly when the channels and the input symbols satisfy some loose restrictions. We extend this algorithm to two dimensions, and in particular, to multichannel (noise free) blind image restoration. Assuming linear FIR blur functions, given at least three blurred versions of the same image, and loose restrictions (different from those in [1]) on the original image and on the blur functions, the original image can be exactly recovered, up to a scalar multiplier.

关键词： blind restoration deconvolution exact restoration image restoration

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On asymptotic convergence of the dual filters associated with two families of biorthogonal wavelets

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1997年第12期45卷 2928-2940页

作者： Wei, D Bovik, AC Laboratory for Vision Systems Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

The asymptotic behavior of the dual filters associated with biorthogonal spline wavelet (BSW) systems and general biorthogonal Coifman wavelet (GBCW) systems are studied. As the order of the wavelet systems approaches infinity, the magnitude responses of the dual filters in the BSW systems either diverge or converge to some nonideal frequency responses. However, the synthesis filters in the GBCW systems converge to an ideal halfband low pass filter without exhibiting any Gibbs like phenomenon, and a subclass of the analysis filters also converge to an ideal halfband lowpass filter but with a one-sided Gibbs-like behavior. The two approximations of the ideal lowpass filter by the filter associated with a Daubechies orthonormal wavelet and by the synthesis filter in a GBCW system of the same order are compared. Such a study of the asymptotic behaviors of wavelet systems provides insightful characterization of these systems and systematic assessment and global comparison of different wavelet systems.

关键词： Convergence Filters H infinity control Frequency response Wavelet analysis Spline Transfer functions Lagrangian functions Machine vision Gaussian processes

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Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control

arXiv

引用

arXiv 2025年

作者： Zhang, Kecheng Liu, Ya-Feng Wang, Zhongbin Yuan, Weijie Keskin, Musa Furkan Wymeersch, Henk Xia, Shuqiang School of System Design and Intelligent Manufacturing The Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Electrical Engineering Chalmers University of Technology Gothenburg41296 Sweden ZTE Corporation The State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China

Integrated sensing and communication (ISAC) has been considered a key feature of next-generation wireless networks. This paper investigates the joint design of the radar receive filter and dual-functional transmit waveform for the multiple-input multiple-output (MIMO) ISAC system. While optimizing the mean square error (MSE) of the radar receive spatial response and maximizing the achievable rate at the communication receiver, besides the constraints of full-power radar receiving filter and unimodular transmit sequence, we control the maximum range sidelobe level, which is often overlooked in existing ISAC waveform design literature, for better radar imaging performance. To solve the formulated optimization problem with convex and nonconvex constraints, we propose an inexact augmented Lagrangian method (ALM) algorithm. For each subproblem in the proposed inexact ALM algorithm, we custom-design a block successive upper-bound minimization (BSUM) scheme with closed-form solutions for all blocks of variable to enhance the computational efficiency. Convergence analysis shows that the proposed algorithm is guaranteed to provide a stationary and feasible solution. Extensive simulations are performed to investigate the impact of different system parameters on communication and radar imaging performance. Comparison with the existing works shows the superiority of the proposed algorithm. © 2025, CC BY-NC-SA.

关键词： Mean square error

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Low-cost embedded facial recognition system based on overlapped local binary pattern

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e-Prime - Advances in Electrical Engineering, Electronics and Energy 2025年 11卷

作者： Ouloul, M．Imad Moutakki, Zakaria Amghar, Abdellah Afdel, Karim Metrology and Information Processing Lab Ibn Zohr University Agadir B.P 80000 Morocco Industrial Technologies and Services Laboratory Higher School of Technology Sidi Mohamed Ben Abdellah University Fez Morocco Computer Systems and Vision Lab Ibn Zohr University Agadir B.P 80000 Morocco

To establish high-performance facial recognition systems, image descriptor-based methods have been widely adopted in the state-of-the-art. These methods are mainly designed to be run on general-purpose computers. Hence, during the development phase, hardware resources such as available memory and CPU frequency are not considered. Conversely, as low-cost architectures are designed to perform a specific task. Thus, they have limited hardware resources in terms of operating frequency and available memory. Nevertheless, they include essential properties such as autonomy, portability, and low-cost. The facial recognition approaches that will be implemented on hardware architectures will benefit from these properties. In particular, the low-cost will allow the use of facial recognition systems on a large-scale. To overcome this problem, in this work, a trade-off between accuracy and execution time was considered throughout the development phase. To this end, the proposed design methodology is based on the use an image descriptor based on integer computation, as embedded processors are generally inadequate for floating-point calculations. In light of this, the well-known LBP descriptor will be utilized to extract facial features, and specially, we will use the technique of centrally overlapped blocks (CoB) which consists of combining the centers of the distinct blocks in order to preserve the spatial distribution of pixels. Indeed, the LBP descriptor has undergone extensive testing in general-purpose computers, where it has demonstrated its effectiveness. In this study, we aim to evaluate the performance of this descriptor within a low-cost embedded architecture. The proof-of-concept is performed on the low-cost ZC702 SoC FPGA board, which includes a Dual ARM Cortex-A9 with FPGA fabric. The experimental study conducted on the AR, ORL, Yale and Face-95 databases proved the high performance of the proposed system in comparison with the state-of-the-art approaches, where we a

关键词： Centrally overlapped blocks-local binary pattern (COB-LBP) Embedded system Face recognition Field-programmable gate array (FPGA) Real-time System-on-Chip (SoC)

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Towards AI-Powered Edge Intelligence for Object Detection in Self-Driving Cars: Enhancing IoV Efficiency and Safety

引用

IEEE Internet of Things Journal 2025年

作者： Ahmed, Imran Ahmad, Misbah Siddiqi, Muftooh Ur Rehman Chehri, Abdellah Jeon, Gwangill Anglia Ruskin University School of Computing and Information Science Cambridge United Kingdom University of West of England Centre for Machine Vision Bristol Robotics Laboratory Bristol United Kingdom Hartpury University Department of Animal and Agriculture Gloucester United Kingdom Aston University College of Engineering and Physical Sciences Birmingham United Kingdom Department of Mathematics and Computer Science Canada Incheon National University Department of Embedded Systems Engineering Incheon Korea Republic of

In the rapidly advancing field of intelligent transportation systems, integrating Artificial Intelligence (AI) with edge computing presents a promising way to enhance the safety and efficiency of the Internet of Vehicles (IoV). This study explores and presents a deep learning based object detection model within an edge computing framework which aims to facilitate real time object detection in self driving cars. Using an urban traffic scenarios based dataset, our research shows the ability of the model to accurately detect and classify various objects important for autonomous driving. The YOLOv8 model is used in this work due to its optimal balance between accuracy and computational efficiency. This model has also demonstrated its worth by achieving good performance results, including an average precision of 0.79, a recall of 0.62, and an F1-score of 0.69. The results are demonstrated by a detailed confusion matrix, highlighting the model's effectiveness in complex driving environments and underscoring its reliability for in-vehicle deployment. By implementing AI directly on edge devices within vehicles, our approach might be helpful in significantly reducing latency, boosting decision-making speed, and enhancing data privacy by minimising dependence on cloud processing. The findings not only support the model's capabilities but also illustrate the practical benefits of edge intelligence in autonomous vehicles. These benefits, such as faster decision-making and improved data privacy, contribute effectively to the IoV infrastructure. This study marks a substantial step towards recognising the possibility of AI-enhanced edge computing in driving the next generation of autonomous vehicle technology. © 2025 IEEE.

关键词： Artificial Intelligence Autonomous Vehicles Deep leaning Edge Computing Internet of Vehicles

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Geometric calibration of a structured light system using circular control points 4

Geometric calibration of a structured light system using cir...

引用

4th International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT 2008

作者： Ouellet, Jean-Nicolas Rochette, Félix Hébert, Patrick Computer Vision and Systems Laboratory Laval University QC Canada

We present a new geometric calibration method for a structured light system combining a projector with a camera, using a planar target with circular control points. By solely exploiting the mapping between projected conics, the proposed method is strictly geometric and provides unbiased camera to projector correspondences during its application. Such a geometric method does not rely on radiometric calibration. Moreover, the method consistently ensures uniform coverage of the working volume and automatically avoids interference between both the projected and the printed patterns on the calibration target. © 2008 Georgia Institute of Technology.

关键词： Cameras

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A new segmentation method for MRI images of the shoulder joint

A new segmentation method for MRI images of the shoulder joi...

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4th Canadian Conference on computer and Robot vision, CRV 2007

作者： Nguyen, Nhat Tan Laurendeau, Denis Branzan-Albu, Alexandra Computer Vision and Systems Laboratory Laval University Que. Canada Computer Vision Laboratory University of Victoria Vic. Canada

ISBN: (纸本)0769527868

This paper presents an integrated region-based and gradient-based supervised method for segmentation of a patient magnetic resonance images (MRI) of the shoulder joint. The method is noninvasive, anatomy-based and requires only simple user interaction. It is generic and easily customizable for a variety of routine clinical uses in orthopedic surgery. © 2007 IEEE.

关键词： Image segmentation

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Generic detection of multi-part objects by high-level analysis

Generic detection of multi-part objects by high-level analys...

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3rd Canadian Conference on computer and Robot vision, CRV 2006

作者： Bernier, Jean-François Bergevin, Robert Laval University Computer Vision and Systems Laboratory Que. Canada

ISBN: (纸本)0769525423

A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, a search tree is expanded by selecting and ordering the segmented primitives on the basis of generic local and global grouping criteria. The set of partial contours provided by the parallel search are combined into more complex forms. Global scores produce a sorted list of potential object silhouettes. © 2006 IEEE.

关键词： Object recognition

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Robust multi-view stereo without matching

Robust multi-view stereo without matching

引用

2009 IEEE 12th International Conference on computer vision Workshops, ICCV Workshops 2009

作者： Lambert, Philippe Hébert, Patrick Computer Vision and Systems Laboratory Laval University Quebec QC Canada

ISBN: (纸本)9781424444427

This paper proposes a robust algorithm that finds a proxy surface from a series of calibrated pictures of an object without assuming any of its reflectance properties. This proxy is optimized to reduce view interpolation errors by globally minimizing the frequency criterion proposed in [1]. The generality of this setting makes robustness particularly difficult to achieve since no model from which to identify outliers or noise is available. Unfortunately, failing to achieve robustness results in unusable proxy for most of the datasets presented. The traditional method of identifying outliers by their discrepency from photoconsistency must somehow be replaced by a global analysis involving all viewpoints. The major contribution of this paper is to meet this requirement by proposing a robust estimation of the minimizer of the frequency criterion as well as a novel framework for merging the multiple depth hypotheses obtained. View interpolation results and proxies are shown for challenging datasets, both Lambertian and not. ©2009 IEEE.

关键词： Frequency estimation

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