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Efficient 3D face recognition using multi-scale strategy and grid-based modeling

JOURNAL OF ELECTRONIC IMAGING 2024年第6期33卷

作者： Abbad, Abdelghafour Mouhou, Abderrazzak Ait Abbad, Khalid Tairi, Hamid Sidi Mohamed Ben Abdelah Univ ISA Dept Comp Sci Fac Sci & Technol Fes Morocco Sidi Mohamed Ben Abdellah Univ LSI Dept Math Phys & Comp Sci Poly Disciplinary Fac Taza Fes Morocco Sidi Mohamed Ben Abdelah Univ LISAC Dept Comp Sci Fac Sci Dhar El Mahraz Fes Morocco

Face recognition is a difficult task. It has to deal with various challenges such as lighting, orientation, and variability among different faces. Previous work has shown that the 3D face is a robust biometric modality, less affected by variations in pose or light. In addition, with the availability of depth cameras, capturing 3D data has become much easier. We propose a multi-scale framework for 3D face recognition. First, 3D point clouds are preprocessed and presented at different scales;each scale is then converted to depth maps. Next, the statistical measurements are extracted based on fast grid-based models. After that, the histogram of the oriented gradient descriptor is applied to encode the statistical grids. Finally, the features are projected and postprocessed to increase the range of data distinctiveness. Our proposed technique shows encouraging performance on Bosphorus and GavabDB databases. The recognition accuracies of the proposed algorithm achieved an overall rank-1 identification rate of 98.91% on the GavabDB database and 99.89% on the Bosphorus database. (c) 2024 SPIE and IS&T

关键词： 3D face recognition empirical mode decomposition grid-based modeling histogram of oriented gradient descriptor

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Unlocking watershed mysteries: Innovative regionalization of hydrological model parameters in data-scarce regions

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JOURNAL OF HYDROLOGY-REGIONAL STUDIES 2025年 57卷

作者： Mihret, Temesgen T. Zemale, Fasikaw A. Worqlul, Abeyou W. Ayalew, Ayenew D. Fohrer, Nicola Bahir Dar Univ Fac Civil & Water Resources Engn Bahir Dar Ethiopia Assosa Univ Dept Water Resources & Irrigat Engn Assosa Ethiopia Int Ctr Agr Res Dry Areas ICARDA Tunis Tunisia Univ Kiel Inst Nat Resource Conservat Dept Hydrol & Water Resources Management Kiel Germany

Study region: The Upper Blue Nile Basin in Ethiopia, characterized by its complex hydrological system, is the focus of this study. The basin includes 76 gauged watersheds, which were analyzed to estimate parameters for ungauged locations using regionalization techniques. Study focus: Regression-based Approach (RBA), Physical Similarity Approach (PSA), and Spatial Proximity Approach (SPA), for estimating GR4J model parameters. A 25 km by 25 km fishnetbased grid was implemented to enable parameter prediction for ungauged watersheds. Principal Component Analysis (PCA) and k-means clustering were used to group gauged watersheds into three homogeneous clusters, with Beressa, Dedessa, and Gilgel Abay selected as pseudowatersheds for validation. Model performance was evaluated using PBIAS, R2, and NSE metrics. New hydrological insights for the region: The RBA outperformed PSA and SPA in parameter transfer, achieving R2 values of 0.57, 0.79, and 0.67;PBIAS values of 7.3, -1.5, and 2.6;and NSE values of 0.58, 0.78, and 0.67 for Beressa, Dedessa, and Gilgel Abay, respectively. Incorporating grid-based parameter values further improved model performance, with NSE values of 0.81 for Dedessa, 0.63 for Beressa, and 0.61 for Gilgel Abay. These findings highlight the effectiveness of the grid-based regionalization approach for accurate streamflow prediction in ungauged watersheds within the Upper Blue Nile Basin.

关键词： Upper Blue Nile River Basin Hydrological modeling GR4J Regionalization Regression equation Ungauged watersheds grid-based modeling Streamflow prediction

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A Path Planning Method for Electric Vehicle based on Q-Learning

A Path Planning Method for Electric Vehicle Based on Q-Learn...

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2024 International Conference on Intelligent Robotics and Automatic Control

作者： Deng, Rong Huang, Ju Nantong Vocat Coll Sci & Technol Sch Informat & Intelligent Engn Nantong Peoples R China

ISBN: (纸本)9798350389814;9798350389807

The increasing adoption of electric vehicles (EVs) has intensified the demand for efficient navigation methods to locate charging stations, optimizing both user convenience and energy utilization. This paper proposes a Q-learning-based path planning approach that dynamically identifies optimal routes for EVs while considering real-world constraints such as traffic and charging station availability. The proposed model integrates grid-based environmental modeling with reinforcement learning to achieve robust and adaptive path optimization. Experimental results, conducted on simulated urban environments derived from real-world data, demonstrate the algorithm's ability to effectively navigate diverse scenarios, minimizing travel distance and avoiding obstacles. The findings highlight the potential of this approach to enhance EV navigation systems and lay a foundation for future research in high-complexity transportation networks.

关键词： Electric Vehicle (EV) Navigation Path Planning Q-learning grid-based modeling

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A Digital Workflow Supporting the Selection of Solvents for Optimizing the Crystallizability of p-Aminobenzoic Acid

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ORGANIC PROCESS RESEARCH & DEVELOPMENT 2020年第4期24卷 500-507页

作者： Rosbottom, Ian Pickering, Jonathan H. Hammond, Robert B. Roberts, Kevin J. Univ Leeds Ctr Digital Design Drug Prod Sch Chem & Proc Engn Leeds LS2 9JT W Yorkshire England

We present a grid-based molecular modeling approach and software application for screening the solute-solvent and solute-solute interactions of organic molecules. This tool can provide a deeper understanding of solubilization of organic molecules, intended to guide scientists to intuitive conclusions about whether a solute/solvent pair may provide desired physical properties, such as crystallizability, solubility, and crystal polymorphism. This study focused on solutions of p-aminobenzoic acid in acetonitrile, ethanol, and water. Acetonitrile molecules are found to form the weakest interactions with the solute molecule, although they also form weak interactions with themselves. In contrast, water forms strong interactions with the solute molecule, with a strong preference to interact with the carboxylic acid group, although they also form strong self-interactions. Ethanol forms strong interactions with all of the solute molecules, along with reasonably strong interactions with itself. The looser solvation of the carboxylic acid group by acetonitrile is thought to drive the crystallization of the alpha polymorph, by lowering the crystallization kinetic energy barrier. In ethanol, the strong interactions of the solvent are thought to contribute to significant undercooling of ethanolic solutions observed in previous studies. Water's strong interactions with the carboxylic acid of the solute may drive the self-assembly of the alpha-form by interactions of the phenyl groups and also contribute to the nucleation of the beta-form from this solvent. This workflow can provide valuable guidance on the solvation properties of organic molecules and clusters, producing low-energy solvation shells of molecules and clusters to be utilized as starting points for more sophisticated simulations, such as molecular dynamics.

关键词： crystallizability molecular modeling grid-based modeling solubility solvation polymorphism

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grid-based Mobile Robot Path Planning Using Aging-based Ant Colony Optimization Algorithm in Static and Dynamic Environments

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SENSORS 2020年第7期20卷 1880页

作者： Ajeil, Fatin Hassan Ibraheem, Ibraheem Kasim Azar, Ahmad Taher Humaidi, Amjad J. Univ Baghdad Dept Elect Engn Coll Engn Baghdad 10001 Iraq Prince Sultan Univ Robot & Internet Of Things Lab RIOTU Riyadh 11586 Saudi Arabia Benha Univ Fac Comp & Artificial Intelligence Banha 13518 Egypt Univ Technol Baghdad Dept Control & Syst Engn Baghdad 10001 Iraq

Planning an optimal path for a mobile robot is a complicated problem as it allows the mobile robots to navigate autonomously by following the safest and shortest path between starting and goal points. The present work deals with the design of intelligent path planning algorithms for a mobile robot in static and dynamic environments based on swarm intelligence optimization. A modification based on the age of the ant is introduced to standard ant colony optimization, called aging-based ant colony optimization (ABACO). The ABACO was implemented in association with grid-based modeling for the static and dynamic environments to solve the path planning problem. The simulations are run in the MATLAB environment to test the validity of the proposed algorithms. Simulations showed that the proposed path planning algorithms result in superior performance by finding the shortest and the most free-collision path under various static and dynamic scenarios. Furthermore, the superiority of the proposed algorithms was proved through comparisons with other traditional path planning algorithms with different static environments.

关键词： mobile robot path planning aging-based ant colony optimization (ABACO) dynamic environment grid-based modeling

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modeling Urban Flood Inundation and Recession Impacted by Manholes

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WATER 2020年第4期12卷 1160-1160页

作者： GebreEgziabher, Merhawi Demissie, Yonas Washington State Univ Dept Civil & Environm Engn Richland WA 99354 USA

Urban flooding, caused by unusually intense rainfall and failure of storm water drainage, has become more frequent and severe in many cities around the world. Most of the earlier studies focused on overland flooding caused by intense rainfall, with little attention given to floods caused by failures of the drainage system. However, the drainage system contributions to flood vulnerability have increased over time as they aged and became inadequate to handle the design floods. Adaption of the drainages for such vulnerability requires a quantitative assessment of their contribution to flood levels and spatial extent during and after flooding events. Here, we couple the one-dimensional Storm Water Management Model (SWMM) to a new flood inundation and recession model (namely FIRM) to characterize the spatial extent and depth of manhole flooding and recession. The manhole overflow from the SWMM model and a fine-resolution elevation map are applied as inputs in FIRM to delineate the spatial extent and depth of flooding during and aftermath of a storm event. The model is tested for two manhole flooding events in the City of Edmonds in Washington, USA. Our two case studies show reasonable match between the observed and modeled flood spatial extents and highlight the importance of considering manholes in urban flood simulations.

关键词： manhole flooding urban flooding grid-based modeling SWWM FIRM

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Detection of Outside Historical Routes for Radar Maritime Targets 5

Detection of Outside Historical Routes for Radar Maritime Ta...

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5th International Conference on Fuzzy Systems and Data Mining (FSDM) held in conjunction with the 9th International Conference on Electronics, Communications and Networks (CECNet)

作者： Nguyen Van Loi Nguyen Duc Duong Tran Trung Kien Nguyen Xuan Thang Nguyen Xuan Chung Tran Vu Hop Viettel High Technol Ind Corp Radar Ctr Hanoi Vietnam

ISBN: (纸本)9781643680194;9781643680187

A problem of detection of outside historical routes for radar maritime targets is considered. A new method is proposed for finding of normal historical routes and for detection of abnormal routes using radar data. This method is based on a grid-based modelling, an algorithm for finding of routing angles of all trajectories in each cell, and a modified DBSCAN algorithm with a new introduced distance function of two routing angles. It is shown that the classical distance functions such as Euclidean and Hausdorff cannot be able to use with the DBSCAN algorithm for clustering of routing angles. A test with real data is given. The false alarm rate (FAR) of the test is 0.

关键词： Maritime anomaly detection Outside historical route grid-based modeling DBSCAN

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SPACESKETCH: Shape modeling with 3D meshes and control curves in stereoscopic environments

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COMPUTERS & GRAPHICS-UK 2012年第5期36卷 526-533页

作者： Nam, Sanghun Chai, Youngho Chung Ang Univ Seoul South Korea

This paper introduces SPACESKETCH, a new kind of sketch-based modeling system that can sketch free-form surface in space. This modeling system combines the advantages of a direct mesh-based sketch in which the user can draw the mesh directly in the space by moving the wand and the control curve sketch to express the detailed shape of the model. The created surface is also divided by using the control curve so that different resolution surfaces can be set for each surface and partially complicated parts can be sketched. While using SPACESKETCH, we introduced the advantages of using a new interface that uses mesh-based sketch and control curve sketch simultaneously to create various models and how to apply multi-resolution. Through this process, we show that mesh-based sketch and control curve sketch simultaneously to complement each other in a multi-resolution real time environment is very useful in concept sketching in a 3D environment using a spatial input device. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： 3D shape modeling Spatial sketching Mesh-based modeling Control curve grid-based modeling Sketch-based interfaces Stereoscopic environment

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