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Edge-aware Feature Aggregation Network for Polyp Segmentation

Machine Intelligence Research 2025年第1期22卷 101-116页

作者： Tao Zhou Yizhe Zhang Geng Chen Yi Zhou Ye Wu Deng-Ping Fan PCA Lab Key Laboratory of Intelligent Perception and Systems for High-dimensional Information of Ministry of EducationSchool of Computer Science and EngineeringNanjing University of Science and TechnologyNanjing210094China School of Computer Science and Engineering Northwestern Polytechnical University(NPU)Xi’an710129China School of Computer Science and Engineering Southeast UniversityNanjing211189China Computer Vision Lab ETH ZürichZürich8092Switzerland

Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer(CRC)in clinical ***,due to scale variation and blurry polyp boundaries,it is still a challenging task to achieve satisfactory segmentation performance with different scales and *** this study,we present a novel edge-aware feature aggregation network(EFA-Net)for polyp segmentation,which can fully make use of cross-level and multi-scale features to enhance the performance of polyp ***,we first present an edge-aware guidance module(EGM)to combine the low-level features with the high-level features to learn an edge-enhanced feature,which is incorporated into each decoder unit using a layer-by-layer ***,a scale-aware convolution module(SCM)is proposed to learn scale-aware features by using dilated convolutions with different ratios,in order to effectively deal with scale ***,a cross-level fusion module(CFM)is proposed to effectively integrate the cross-level features,which can exploit the local and global contextual ***,the outputs of CFMs are adaptively weighted by using the learned edge-aware feature,which are then used to produce multiple side-out segmentation *** results on five widely adopted colonoscopy datasets show that our EFA-Net outperforms state-of-the-art polyp segmentation methods in terms of generalization and *** implementation code and segmentation maps will be publicly at https://***/taozh2017/EFANet.

关键词： Colorectal cancer polyp segmentation edge-aware guidance module scale-aware convolution module cross-level fusion module

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A hypothetical comparative evaluationsystem for arctic indoors

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Frontiers of Architectural Research 2025年第1期14卷 210-223页

作者： Seyed-Amin Tabatabaeifard Jean-Francois Lalonde Marc Hebert Andre Potvin Claude MH.Demers GRAP(Groupe de Recherche en Ambiances Physiques) Ecole d’architectureUniversite LavalQuebecCanada Computer Vision and Systems Lab Department of Electrical and Computer EngineeringUniversite LavalQuebecCanada CERVO Brain Research Centre Faculty of MedicineUniversite LavalQuebecCanada

This research presents an innovative approach to evaluating indoor spaces,combining qualitative attributes with numerical architectural metrics. A hypothetical comparative visualization system is introduced, utilizing HDR visual imaging and thermal imaging in 360° field of view across multiple indoor environments. The study aims to provide architectsand occupants with a user-friendly tool informing them about the primary considerations oftheir built spaces, with a specific focus on indoor environmental qualities in remote Arctic regions. Key inquiries delve into the efficacy of the spherical approach and the capacity ofcomparative visualization to offer insights into space quality. Preliminary experiments contrastindoor environments in terms of circadian lighting, thermal uniformity, and view access tooutside in the 360° field of view (VAR360). The resulting visualizations hold significance inintroducing an immersive approach for depicting specific non-visible environmental qualities,particularly in relation to the window characteristics of spaces. It demonstrates the integration of multiple environmental variables, both steady-state and temporal, from central pointswithin spaces, providing a comprehensive view over their non-visible qualities. These resultsshould be useful for researchers and practitioners within building sciences, computer vision,and photobiology, showcasing an out-of-the-box approach for categorizing indoor spaces basedon standards and human-environmental qualifications.

关键词： Environmental assessment 360°imaging Comparative systems Low-cost tools Built environments

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Uncertainty-Aware Stability Analysis of IBR-dominated Power System with Neural Networks

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IEEE Transactions on Power Electronics 2025年

作者： Humblot-Renaux, Galadrielle Wu, Yang Escalera, Sergio Moeslund, Thomas B. Wang, Xiongfei Wu, Heng Aalborg University Department of Energy Aalborg9220 Denmark University of Barcelona Computer Vision Center Spain Aalborg University Visual Analysis and Perception Lab Aalborg9200 Denmark KTH Royal Institute of Technology Division of Electric Power and Energy Systems Stockholm10044 Sweden

Machine learning (ML) technologies have significant potential in accelerating stability screening of modern power systems that are dominated by inverter-based resources (IBRs). Nonetheless, neural network (NN)-based analysis methods cannot guarantee accurate and reliable stability predictions for unseen operating scenarios (OSs), posing safety risks. To address this limitation, this letter proposes an approach combining neural network ensembles with a dual-thresholding framework, which enables the reliable identification of OSs where ML predictions may fail. These uncertain OSs are then flagged for further analysis using physical-based methods, ensuring safety and robustness. The effectiveness of the proposed method is verified by simulation and experimental test. © 1986-2012 IEEE.

关键词： Power system analysis

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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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A vision based geometrical method to find fingers positions in real time hand gesture recognition

Journal of Software

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Journal of Software 2012年第4期7卷 861-869页

作者： Chaudhary, Ankit Raheja, Jagdish L. Raheja, Shekhar Computer Vision Research Group BITS Pilani Rajasthan India Machine Vision Lab CEERI CSIR Pilani Rajasthan India Digital Systems Group CEERI CSIR Pilani Rajasthan India

A novel method to calculate the bended finger's angle has presented here which could be used to control the electro-mechanical robotic hand. It is assumed that the robotic hand has the human hand like joints and same number of degree of freedom as human hand. In many applications, equipment like human hand is needed to do the same kind of operation like human do. These days it is easy to make the electro-mechanical robotic hand which has five fingers and same joints but it is not easily controllable as the human hand for accurate job. In our method the hand gesture will be interpreted for controlling the robotichand. The angles for all the fingers will be calculated and that could be further passed to the robotic hand for controlling its finger. User would perform gesture according to the action as he wants to be done by robotic hand. Here finger positions are detected using geometric analysis of hand in the extracted image, while region of interest cropping from the image make the algorithm faster. © 2012 ACADEMY PUBLISHER.

关键词： Real time systems

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Alignment of Point Clouds for Comparison of Infrastructures in Civil Engineering on Quality Control in Metrology 27

Alignment of Point Clouds for Comparison of Infrastructures ...

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27th International Conference in Central Europe on computer Graphics, Visualization and computer vision, WSCG 2019

作者： Haddad, Hadi Khaksari Laurendeau, Denis Computer Vision and Systems lab Department of Electrical and Computer Engineering Laval University Quebec city Canada

ISBN: (纸本)9788086943374

For 3D point cloud registration, Go-ICP [Yang et al., 2016] has been shown to obtain the global optimal solution for a pair composed of a model point cloud and a data point cloud. Go-ICP mostly has been investigated only on standard sets of point clouds. In this paper, we demonstrate the remarkable efficacy of Go-ICP for the alignment of very complex large-scale point clouds to their corresponding deformed CAD models. In particular, given two distinct sets of point clouds taken from the exterior and the interior of a building, experiments demonstrate that Go-ICP is able to successfully align both of these sets to the point cloud of the CAD model of the whole building (both exterior and interior information included). With the experimentation presented in this paper, we demonstrate that Go-ICP can achieve excellent alignment results and that this approach can be deployed in applications aiming at comparing CAD models of a building ("as designed" model) to the point cloud of the actual building ("as-built" model). Experiments also demonstrate the efficacy of Go-ICP to align a deformed copy of a man-made object to the original object in quality control applications. © 2019 University of West Bohemia. All rights reserved.

关键词： Alignment

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Real-Time Monocular Visual Odometry for On-Road Vehicles with 1-Point RANSAC

Real-Time Monocular Visual Odometry for On-Road Vehicles wit...

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Dynamic Maps 2010

作者： Scaramuzza, Davide Fraundorfer, Friedrich Siegwart, Roland Autonomous Systems Lab ETH Zurich Switzerland Computer Vision and Geometry Group ETH Zurich Switzerland

This paper presents a system capable of recovering the trajectory of a vehicle from the video input of a single camera at a very high frame-rate. The overall frame-rate is limited only by the feature extraction process, as the outlier removal and the motion estimation steps take less than 1 millisecond with a normal laptop computer. The algorithm relies on a novel way of removing the outliers of the feature matching process. We show that by exploiting the nonholonomic constraints of wheeled vehicles it is possible to use a restrictive motion model which allows us to parameterize the motion with only 1 feature correspondence. Using a single feature correspondence for motion estimation is the lowest model parameterization possible and results in the most efficient algorithms for removing outliers. Here we present two methods for outlier removal. One based on RANSAC and the other one based on histogram voting. We demonstrate the approach using an omnidirectional camera placed on a vehicle during a peak time tour in the city of Zurich. We show that the proposed algorithm is able to cope with the large amount of clutter of the city (other moving cars, buses, trams, pedestrians, sudden stops of the vehicle, etc.). Using the proposed approach, we cover one of the longest trajectories ever reported in real-time from a single omnidirectional camera and in cluttered urban scenes, up to 3 kilometers. © 2011 Dagstuhl Seminar Proceedings. All rights reserved.

关键词： Motion estimation

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The "Castelet": A dynamically reconfigurable stage for performing arts 07

The "Castelet": A dynamically reconfigurable stage for perfo...

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ACM SIGGRAPH 2007 Sketches, SIGGRAPH'07

作者： Jobin, Jean-Philippe Comtois, Sylvain Gosselin, Clément Faguy, Robert Laurendeau, Denis Robotics Laboratory Computer Vision and Systems Lab. LANTISS Laval University Quebec City Canada

The hero jumped down the wall, escalated the hill, slid down the rock, climbed the stairs and finally left the vilain behind...In this classical scene, the hero has to move on different types of terrain. Recreating su...

ISBN: (纸本)9781450347266

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Activity recognition in wide aerial video surveillance using entity relationship models 12

Activity recognition in wide aerial video surveillance using...

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20th ACM SIGSPATIAL International Conference on Advances in Geographic Information systems, ACM SIGSPATIAL GIS 2012

作者： Choi, Jongmoo Dumortier, Yann Prokaj, Jan Medioni, Gérard Computer Vision Lab. Institute for Robotics and Intelligent Systems University of Southern California United States

ISBN: (纸本)9781450316910

We present the design and implementation of an activity recognition system in wide area aerial video surveillance using Entity Relationship Models (ERM). In this approach, finding an activity is equivalent to sending a query to a Relational DataBase Management System (RDBMS). By incorporating reference imagery and Geographic Information System (GIS) data, tracked objects can be associated with physical meanings, and several high levels of reasoning, such as traffic patterns or abnormal activity detection, can be performed. We demonstrate that different types of activities, with hierarchical structure, multiple actors, and context information, are effectively and efficiently defined and inferred using the ERM framework. We also show how visual tracks can be better interpreted as activities by using geo information. Experimental results on both real visual tracks and GPS traces validate our approach. © 2012 Authors.

关键词： Security systems

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3D Protein Surface Segmentation through Mathematical Morphology

3D Protein Surface Segmentation through Mathematical Morphol...

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4th International Joint Conference on Biomedical Engineering systems and Technologies, BIOSTEC 2011

作者： Cantoni, Virginio Gatti, Riccardo Lombardi, Luca Computer Vision Lab Department of Computer Engineering and Systems Science University of Pavia Via Ferrata 1 27100 Pavia Italy

An important research activity in proteomics is the study of geometrical and topological aspects that characterize the surfaces of proteins or ligand molecules. The functionalities and the molecular interactions of an unknown protein can be, in a first approximation, inferred by comparing her geometrical shape with that of known molecules. The aim of this paper is to identify particular features of molecular 3D surfaces in a new and efficient way by using a set of mathematical morphological operators. The obtained segments constitute pockets and protrusions. Pockets are generally the concave and deepest spots were active sites take place. The protrusions set, on the other hand, is the complementary region of the pockets and therefore, can be used by docking algorithms in the study of protein-protein and protein-ligand interactions. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Proteins

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