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Journal articles on the topic 'Improved active shape model (IASM)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Hahn, Hee-Il. "Proposing Shape Alignment for an Improved Active Shape Model." Journal of Korea Multimedia Society 15, no. 1 (2012): 63–70. http://dx.doi.org/10.9717/kmms.2012.15.1.063.

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Zhao, Peng, Gang Dou, and Guang-Sheng Chen. "Wood species identification using improved active shape model." Optik 125, no. 18 (2014): 5212–17. http://dx.doi.org/10.1016/j.ijleo.2014.06.047.

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Yang, Fei. "Locating facial features with an improved active shape model." Optical Engineering 48, no. 5 (2009): 057202. http://dx.doi.org/10.1117/1.3130212.

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Wang, Min, Yiling Wen, Li Fang, and Weiping Sun. "An Improved Active Shape Model Application on Facial Feature Localization." International Journal of Information Technology and Computer Science 2, no. 1 (2010): 1–9. http://dx.doi.org/10.5815/ijitcs.2010.01.01.

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Sigit, Riyanto, Calvin Alfa Roji, Tri Harsono, and Son Kuswadi. "Improved echocardiography segmentation using active shape model and optical flow." TELKOMNIKA (Telecommunication Computing Electronics and Control) 17, no. 2 (2019): 809. http://dx.doi.org/10.12928/telkomnika.v17i2.11821.

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ZHENG, Z., J. JIONG, D. CHUNJIANG, X. LIU, and J. YANG. "Facial feature localization based on an improved active shape model." Information Sciences 178, no. 9 (2008): 2215–23. http://dx.doi.org/10.1016/j.ins.2007.12.014.

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Riyanto, Sigit, Alfa Roji Calvin, Harsono Tri, and Kuswadi Son. "Improved echocardiography segmentation using active shape model and optical flow." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 2 (2019): 809–18. https://doi.org/10.12928/TELKOMNIKA.v17i2.11821.

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Heart disease is one of the most dangerous diseases that threaten human life. The doctor uses echocardiography to analyze heart disease. The result of echocardiography test is a video that shows the movement of the heart rate. The result of echocardiography test indicates whether the patient’s heart is normal or not by identifying a heart cavity area. Commonly it is determined by a doctor based on his own accuracy and experience. Therefore, many methods to do heart segmentation is appearing. But, the methods are a bit slow and less precise. Thus, a system that can help the doctor to anal

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Wang, Chang Yuan, Jing Wang, and Mei Juan Qu. "Active Shape and Active Apparent Hybrid Model of Human Facial Feature Points Localization Algorithm." Applied Mechanics and Materials 220-223 (November 2012): 2284–87. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2284.

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An improved active shape model (ASM) and active appearance model (AAM) based new method is proposed, this method will use two-dimensional local gray information to update the feature point position when using ASM to locate the face contour feature points. As to the internal features point location, it establishes facial organs independent AAM model. At the same time, it uses different measure functions to judge the convergence of search algorithm. The experimental results show that the new algorithm greatly improved the localization accuracy of facial feature points.

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Zhang, X., B. Xiong, and G. Kuang. "AIRCRAFT SEGMENTATION IN SAR IMAGES BASED ON IMPROVED ACTIVE SHAPE MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 2331–35. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2331-2018.

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In SAR image interpretation, aircrafts are the important targets arousing much attention. However, it is far from easy to segment an aircraft from the background completely and precisely in SAR images. Because of the complex structure, different kinds of electromagnetic scattering take place on the aircraft surfaces. As a result, aircraft targets usually appear to be inhomogeneous and disconnected. It is a good idea to extract an aircraft target by the active shape model (ASM), since combination of the geometric information controls variations of the shape during the contour evolution. However

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Tang, Dejun, Weishi Zhang, Xiaolu Qu, and Dongqing Zhang. "Improved active shape model and its application to facial feature extraction." Journal of Electronic Imaging 22, no. 3 (2013): 033023. http://dx.doi.org/10.1117/1.jei.22.3.033023.

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Lee, Yong-Hwan, Cheong Ghil Kim, Youngseop Kim, and Taeg Keun Whangbo. "Facial landmarks detection using improved active shape model on android platform." Multimedia Tools and Applications 74, no. 20 (2013): 8821–30. http://dx.doi.org/10.1007/s11042-013-1565-y.

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12

Chen, Hengxin, Mingqi Gao, and Bin Fang. "An improved active shape model method for facial landmarking based on relative position feature." International Journal of Wavelets, Multiresolution and Information Processing 15, no. 01 (2017): 1750008. http://dx.doi.org/10.1142/s0219691317500084.

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Active Shape Model (ASM) is a most effective method of facial landmarking. It employs two models, profile model and shape model, to match the position of facial landmark. In this paper, we introduce a new model based on relative position feature (RPF) in local region to improve ASM. We found the fact that landmarks with larger matching error have more shape matching displacement. So, in our method, RPF model is used to adjust the position of landmarks with more shape matching displacement in every matching iteration. STASM (Stacked ASM) is practical standard of ASM and is proved to be the best

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Duta, N., and M. Sonka. "Segmentation and interpretation of MR brain images. An improved active shape model." IEEE Transactions on Medical Imaging 17, no. 6 (1998): 1049–62. http://dx.doi.org/10.1109/42.746716.

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Song, Xiangshuai, Shujun Tan, Enmei Wang, Shunan Wu, and Zhigang Wu. "Active shape control of an antenna reflector using piezoelectric actuators." Journal of Intelligent Material Systems and Structures 30, no. 18-19 (2019): 2733–47. http://dx.doi.org/10.1177/1045389x19873422.

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The surface precision of an antenna reflector can be improved using the actuation of piezoelectric materials to obtain a high-performance space antenna. In this study, the active shape control of a reflector with piezoceramic (lead zirconate titanate) actuators assembled on ribs is proposed by theoretical and experimental approaches. A finite element model of the integrated reflector–actuator system is established using piezoelectric constitutive equations and the virtual work’s principle. For a desired shape, a closed-loop iterative shape control method based on the influence coefficient matr

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SHIH, FRANK Y., and KAI ZHANG. "EFFICIENT CONTOUR DETECTION BASED ON IMPROVED SNAKE MODEL." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 02 (2004): 197–209. http://dx.doi.org/10.1142/s0218001404003149.

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Active contour model, also called snake, adapts to edges in an image. A snake is defined as an energy minimizing spline – the snake's energy depends on its shape and location within the image. Problems associated with initialization and poor convergence to boundary concavities, however, have limited its utility. In this paper, we present a new external force field, named gravitation force field, for the snake model. We associate this force field with edge preserving smoothing to drive the snake for solving the problems. Our gravitation force field uses gradient values as particles to construct

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ALEMY, ROGHAYEH, MOHAMMAD EBRAHIM SHIRI, FARZAD DIDEHVAR, and ZEYNAB HAJIMOHAMMADI. "NEW FACIAL FEATURE LOCALIZATION ALGORITHM USING ADAPTIVE ACTIVE SHAPE MODEL." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 01 (2012): 1256003. http://dx.doi.org/10.1142/s0218001412560034.

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One of the important steps in/towards face recognition is facial feature localization which is difficult. The variety of human faces, expressions, facial hair, race, glasses, poses, and lighting contribute to the complexity of the problem. We systematically varied some of these factors to test the performance of the original active shape model (ASM) and in the next step we modified original ASM that improved accuracy of ASM. Due to these modifications, a new scheme of active shape model for facial feature extraction is proposed in this paper which is named adaptive active shape model. In this

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Rasid, Zainudin A., Rizal Zahari, Ayob Amran, Dayang Laila Majid, and Ahmad Shakrine M. Rafie. "Thermal Post-Buckling Improvements of Laminated Composite Plates Using the Active Strain Energy Tuning Approach." Advanced Materials Research 311-313 (August 2011): 2235–38. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.2235.

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Shape memory alloy was firstly used commercially as a hydraulic coupling in the Grumman F14A in 1971. It is today used among others to improve structural behaviours such as buckling of composite plates in the aerospace vehicles. In this paper, finite element model and its source code for thermal post-buckling of shape memory alloy laminated composite plates is presented. The shape memory alloy wires induced stress that improved the strain energy, stiffness and thus the buckling behaviour of the composite plates. The finite element formulation catered the combined properties of the composite an

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Gu, Xue Jing, Yue Hua Zhang, and Bei Bei Gao. "Application of Improved ASM and AAM Fusion in Face Tracking." Advanced Materials Research 1014 (July 2014): 463–66. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.463.

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Based on the active shape model(ASM) and active appearance model(AAM) algorithm, using the AAM texture matching for global search and ASM feature points localization of local search, a new algorithm that combining the characteristics of both is adopted. This algorithm ensures the accuracy of feature point positioning and enhanced the texture matching accuracy, improved the tracking accuracy and quickness when target partially obscured and nearby background change in the process of face tracking effectively. Experimental results show that the algorithm improved the precision and robustness grea

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Ye, T., X. Cui, and H. Kim. "Fully automated segmentation of cartilage from magnetic resonance images using improved 3D shape context and active shape model." Osteoarthritis and Cartilage 23 (April 2015): A301—A302. http://dx.doi.org/10.1016/j.joca.2015.02.546.

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Lan, Hong, and Le Quan Min. "Improved Snake Model Algorithm with Application in Liver Image Segmentation." Applied Mechanics and Materials 263-266 (December 2012): 2643–48. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2643.

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Snake model is one of classical active contour models, and is widely used in the image segmentation. But it has defects of sensitive to the initial contour and lack of curvature constraints. This paper presents an improved Snake model algorithm, which initializes contour by maker control watershed algorithm and adds an external force related with the curve shape into the energy function of Snake model to solve the problem about curvature constraints. Testing on the Magnetic Resonance (MR) images of the abdomen for liver image segmentation proves that the new algorithm can achieve good results.

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Wang, Xiaoming, Xinhan Hu, Chengbin Huang, and Wenya Zhou. "Multi-Mode Shape Control of Active Compliant Aerospace Structures Using Anisotropic Piezocomposite Materials in Antisymmetric Bimorph Configuration." Aerospace 9, no. 4 (2022): 195. http://dx.doi.org/10.3390/aerospace9040195.

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The mission performance of future advanced aerospace structures can be synthetically improved via active shape control utilizing piezoelectric materials. Multiple work modes are required. Bending/twisting mode control receives special attention for many classic aerospace structures, such as active reflector systems, active blades, and compliant morphing wings. Piezoelectric fiber composite (Piezocomposite) material features in-plane anisotropic actuation, which is very suitable for multiple work modes. In this study, two identical macro-fiber composite (MFC) actuators of the F1 type were bonde

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22

S., Subhashini, and Revathi S. "A New Fusion Feature Selection Model (FFSM) based Feature Extraction System for Hand Gesture Recognition." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 4 (2023): 149–63. http://dx.doi.org/10.58346/jowua.2023.i4.011.

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The research presented here proposes a unique approach for exact feature extraction that makes use of the Fusion Feature Selection Model (FFSM). The method encompasses various stages to preprocess and extract crucial features from first-person hand action (FHPA) images. Preprocessing involves video-to-frame conversion, RGB to grayscale conversion, an improved median filter, and Gaussian blur-based image smoothing. Segmentation is achieved using the Improved SwinNet to identify meaningful regions within the images. Feature extraction employs the Gabor Line Derivative (GLD) method, Active Shape

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Sun, Shenshen, Huizhi Ren, Tian Dan, and Wu Wei. "3D segmentation of lungs with juxta-pleural tumor using the improved active shape model approach." Technology and Health Care 29 (March 25, 2021): 385–98. http://dx.doi.org/10.3233/thc-218037.

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BACKGROUND AND OBJECTIVE: At present, there are many methods for pathological lung segmentation. However, there are still two unresolved problems. (1) The search steps in traditional ASM is a least square optimization method, which is sensitive to outlier marker points, and it makes the profile update to the transition area in the middle of normal lung tissue and tumor rather than a true lung contour. (2) If the noise images exist in the training dataset, the corrected shape model cannot be constructed. METHODS: To solve the first problem, we proposed a new ASM algorithm. Firstly, we detected

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Wang, Chang Yuan, Mei Juan Qu, Hong Bo Jia, and Hong Zhe Bi. "Facial Feature Detection Algorithm Based on Main Characteristics of Eyes." Applied Mechanics and Materials 303-306 (February 2013): 1402–5. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1402.

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This paper proposed a new facial feature points localization algorithm based on main characteristics of eyes.Use the result of pupil center position to initialize the model of hybrid improved active shape model (ASM) and active appearance model (AAM). The algorithm will use two-dimensional local gray information to update the feature point position when using ASM to locate the face contour feature points. As to the internal features point location, it establishes facial organs independent AAM model. At the same time, it optimizes measure functions of ASM and AAM to judge the convergence of sea

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Gómez, Eduardo Galicia, Fabián Torres-Robles, Jorge Perez-Gonzalez, and Fernando Arámbula Cosío. "“ShapeNet”: A Shape Regression Convolutional Neural Network Ensemble Applied to the Segmentation of the Left Ventricle in Echocardiography." Journal of Imaging 11, no. 5 (2025): 165. https://doi.org/10.3390/jimaging11050165.

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Left ventricle (LV) segmentation is crucial for cardiac diagnosis but remains challenging in echocardiography. We present ShapeNet, a fully automatic method combining a convolutional neural network (CNN) ensemble with an improved active shape model (ASM). ShapeNet predicts optimal pose (rotation, translation, and scale) and shape parameters, which are refined using the improved ASM. The ASM optimizes an objective function constructed from gray-level profiles concatenated into a single contour appearance vector. The model was trained on 4800 augmented CAMUS images and tested on both CAMUS and E

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Zhai, Guang Fei, Guang Da Su, and Jiong Xin Liu. "Research of Facial Features Extraction Based on Improved ASM." Advanced Materials Research 271-273 (July 2011): 131–36. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.131.

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Traditional ASM (Active Shape Model) methods usually depend heavily on the initial facial landmark positions located by the face detector. During the fitting process the ASM model may be trapped into local optima instead of the global optima due to the inaccurate initial position selection. In this paper we present that this problem can be solved by incorporating pupil and chin localizations in adjusting the initial landmark positions, together with adaptive step length selection based on two-dimensional gradient characteristic in a multi-scale ASM model. Experiments on a face database consist

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Shan, Jin Bao, Wei Wei Jiang, and Shi Le Mu. "A New Method of Face Modeling with Construction of Local Texture Model." Advanced Materials Research 989-994 (July 2014): 2016–19. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2016.

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The active shape model (ASM) is a statistical parametric model, which is mainly used in image feature extraction. On the basis of the analysis of the original ASM texture model, a new texture modeling method was proposed in this paper. The improved method fully utilized the gray level information of adjacent points in the neighborhood of sampling points, improved the original face modeling method which only used the one-dimensional gray information with model matching accuracy problems. The experiments on Weizmann face database Indicate that, the improved method can obviously improve the featu

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Xu, Jin, Haixia Wang, Can Cui, Peng Liu, Yang Zhao, and Bo Li. "Oil Spill Segmentation in Ship-Borne Radar Images with an Improved Active Contour Model." Remote Sensing 11, no. 14 (2019): 1698. http://dx.doi.org/10.3390/rs11141698.

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Oil spills cause serious damage to marine ecosystems and environments. The application of ship-borne radars to monitor oil spill emergencies and rescue operations has shown promise, but has not been well-studied. This paper presents an improved Active Contour Model (ACM) for oil film detection in ship-borne radar images using pixel area threshold parameters. After applying a pre-processing scheme with a Laplace operator, an Otsu threshold, and mean and median filtering, the shape and area of the oil film can be calculated rapidly. Compared with other ACMs, the improved Local Binary Fitting (LB

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Rasid, Zainudin A., Saiful Amri Mazlan, Ayob Amran, Rizal Zahari, Dayang Laila Majid, and Azmin Shakrine Mohd Rafie. "The Strain Energy Tuning of the Shape Memory Alloy on the Post-Buckling of Composite Plates Using Finite Element Method." Advanced Materials Research 445 (January 2012): 577–82. http://dx.doi.org/10.4028/www.scientific.net/amr.445.577.

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This paper presents a geometric non-linear finite element model of shape memory alloy composite plates and its source code in order to determine critical loads and to trace post-buckling paths of the composite plates. A numerical study was conducted on symmetric and anti-symmetric angle-ply and cross-ply composite plates. Buckling and post-buckling improvements of composite plates due to the shape memory effect behaviour of shape memory alloy were carried out. The pre-strained shape memory alloy wires were embedded within laminated composite plates so that recovery stress could be induced with

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Karami, Ebrahim, Mohamed S. Shehata, and Andrew Smith. "Semi-Automatic Algorithms for Estimation and Tracking of AP-Diameter of the IVC in Ultrasound Images." Journal of Imaging 5, no. 1 (2019): 12. http://dx.doi.org/10.3390/jimaging5010012.

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Acutely ill patients presenting with conditions such as sepsis, trauma, and congestive heart failure require judicious resuscitation in order to achieve and maintain optimal circulating blood volume. Increasingly, emergency and critical care physicians are using portable ultrasound to approximate the temporal changes of the anterior–posterior (AP)-diameter of the inferior vena cava (IVC) in order to guide fluid administration or removal. This paper proposes semi-automatic active ellipse and rectangle algorithms capable of improved and quantified measurement of the AP-diameter. The proposed alg

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Nachour, Abdelhafid, Latifa Ouzizi, and Youssef Aoura. "A FAST ADAPTIVE BALLOON ACTIVE CONTOUR FOR IMAGE SEGMENTATION." Biomedical Engineering: Applications, Basis and Communications 29, no. 01 (2017): 1750005. http://dx.doi.org/10.4015/s1016237217500053.

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Active Contour Models (ACM) have been widely used for segmentation in many computer vision applications. These models are defined by an energy functional attached to an initial curve that evolves under some constraints to extract desired objects in the image. New models are proposed, and existing techniques are investigated and improved in different domains. Among these ACM, Balloon ACM is an edge-based model that adds a normal force as constraint making the curve to have more dynamic behaviors and more effectiveness in detecting objects boundary. However, some problems have been pointed out i

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Sun, Yan Peng. "Human Facial Feature Point Detection is Based on Improved ASM Method." Advanced Materials Research 181-182 (January 2011): 139–44. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.139.

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In view of the traditional Active Shape Model (ASM) method’s flaw and insufficiency, the paper proposed several improvements methods. The traditional ASM method carries on the characteristic search using of the initial point which provided using the person face examination；in the improvement algorithm, the paper has used the method of pupil orientation on the initialization and adopted improvement methods of edge restraint, auto-adapted length of stride to effectively improved the ASM method performance. The experimental result indicated that, the improvement ASM method has a bigger enhancemen

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Guan, Chengyu, Zemin Zhou, and Xinwu Zeng. "Optimal Waveform Design Using Frequency-Modulated Pulse Trains for Active Sonar." Sensors 19, no. 19 (2019): 4262. http://dx.doi.org/10.3390/s19194262.

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Frequency-modulated pulse trains can be applied in active sonar systems to improve the performance of conventional transmitted waveforms. Recently, two pulse trains have been widely researched as the transmitted waveforms for active sonars. The LFM-Costas pulse train was formed by modulating the linear frequency-modulated (LFM) waveform via the Costas sequence to remove the Doppler ambiguity of LFM pulses. The generalized sinusoidal frequency-modulated (GSFM) waveform, another frequency-modulated pulse train, achieved an ideal ambiguity function shape with thumbtack mainlobe. In this paper, we

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Krauze, Piotr, and Jerzy Kasprzyk. "Driving Safety Improved with Control of Magnetorheological Dampers in Vehicle Suspension." Applied Sciences 10, no. 24 (2020): 8892. http://dx.doi.org/10.3390/app10248892.

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The article is dedicated to the control of magnetorheological dampers (MR) included in a semi-active suspension of an all-terrain vehicle moving along a rough road profile. The simulation results of a half-car model and selected feedback vibration control algorithms are presented and analysed with respect to the improvement of driving safety features, such as road holding and vehicle handling. Constant control currents correspond to the passive suspension of different damping parameters. Independent Skyhook control of suspension parts represents the robust and widely used semi-active algorithm

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Garashchenko, Aleksandr. "Methods for Auroral Oval Segmentation in Images (Part 2)." System Analysis & Mathematical Modeling 6, no. 3 (2024): 282–99. https://doi.org/10.17150/2713-1734.2024.6(3).282-299.

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The paper provides an overview of studies conducted between 2014 and 2019 on auroral oval segmentation in images. Full sky maps and ultraviolet images were used as input data. The following methods were considered: improved level setting method for fast auroral oval segmentation (SIIALSM), regional active contour model with adaptive threshold, dual level set method based on local information with the introduction of the previous shape value into the level set structure.

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Wu, Ke, Houfei Fang, and Bingen Yang. "Modeling, Analyses, and Optimization of Planar Active Frame Structures Composed of Piezoelectric Beams." International Journal of Structural Stability and Dynamics 19, no. 12 (2019): 1950146. http://dx.doi.org/10.1142/s0219455419501463.

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Frame structures are widely used in engineering applications, especially in space structures. For special use such as shape and vibration control of such structures, piezoelectric patches are usually placed on the beam surfaces to form active frame structures. To perform shape control or vibration control tasks, modeling methods for the formed active frame structures need to be studied. This paper develops a new distributed model of an active frame structure composed of multilayer piezoelectric beam components. First, the governing equations of a beam, bonded with piezoelectric patches, are de

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Bourgeois, Liselot, Jef Van Meensel, Fleur Marchand, and Steven Van Passel. "Factors influencing business model change: a case study for the European crop protection industry." British Food Journal 126, no. 13 (2024): 643–57. http://dx.doi.org/10.1108/bfj-03-2024-0281.

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PurposeThis paper proposes a theoretical framework for the comprehensive study of business model (BM) change by taking different types of influencing factors and different levels of analysis into account (business, industry and macro-environment).Design/methodology/approachEvaluation of the added value of using the combination of three existing frameworks (the business model canvas (Osterwalder and Pigneur, 2010), Porter’s five forces framework (Porter, 1980) and PESTEL (Johnson et al., 2017)) based on semi-structured interviews with eight companies active in the European crop protection indus

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Zhang, Wenhui, Wentong Wang, Shuang Zhao, and Bin Sun. "Gray-Edge-HOG feature based cascaded learning for facial landmark detection." MATEC Web of Conferences 189 (2018): 10023. http://dx.doi.org/10.1051/matecconf/201818910023.

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Compared with the traditional statistical models, such as the active shape model and the active appearance model, the facial feature point localization method based on deep learning has improved in accuracy and speed, but there still exist some problems. First, when the traditional deep neural network model targets a data set containing different face poses, it only performs the preprocessing through the initialized face alignment, and does not consider the regularity of the distribution of the feature points corresponding to the face pose during feature extraction. Secondly, the traditional d

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Lili, Sampara, and Ana Cahyani Fatima. "Learning Model on Islamic Religious Education in Improving Student Motivation Andachievement." International Journal on Advanced Science, Education, and Religion 2, no. 3 (2019): 29–37. http://dx.doi.org/10.33648/ijoaser.v2i3.39.

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This study aims to assess the shape and Effectiveness of Active Learning model implementation in the field of Islamic religious education studies in improving student achievement motivation and Islamic Elementary School fifth grade Athirah Makassar.This study is a class action (Classroom Action Research) with the kind of collaborative. This research phase follows the model developed by Kemmis and Taggart, namely in the form of a spiral cycleincludes planning, implementation, observation, and reflection. Technique-data collection techniques used are: (1) observation; (2) interview; (3) documen

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Habib Shehu Jibrin, Habib Shehu Jibrin, Nyako Alhaji Baba Nyako Alhaji Baba, Ali Abubakar Ali Abubakar, and Usman Adamu Muhammad Usman Adamu Muhammad. "An Improved System for Fiducial Point Detection under Various Occlusions." International Journal of Advances in Engineering and Management 06, no. 12 (2024): 291–98. https://doi.org/10.35629/5252-0612291298.

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Fiducial point detection is essential in applications like facial recognition, medical imaging, and human-computer interaction. Despite advancements in deep learning, occlusions present a significant challenge in face recognition systems. This research proposes an enhanced facial landmark detection system that utilizes Principal Component Analysis (PCA) and Active Shape Models (ASM) to improve detection accuracy under various occlusions, lighting conditions, and expressions. By employing color segmentation for face detection and landmark detection to compensate for occlusions, the system provi

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Verhagen, Rens, Lo Bour, Vincent Odekerken, Pepijn van den Munckhof, P. Schuurman, and Rob de Bie. "Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease." Brain Sciences 9, no. 3 (2019): 51. http://dx.doi.org/10.3390/brainsci9030051.

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Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson’s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation between active contact location relative to the neurophysiological STN, estimated by the intraoperative microelectrode recordings (MER-based STN), and contralateral motor improvement after one year. A generic STN shape was transformed to fit onto the stereotactically defined MER sites. The location o

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Salvi, Massimo, Bruno De Santi, Bianca Pop, et al. "Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images." Journal of Imaging 8, no. 5 (2022): 133. http://dx.doi.org/10.3390/jimaging8050133.

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Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task. In this scenario, the use of automated algorithms for prostate segmentation allows us to bypass the huge workload of physicians. In this work, we propose a fully automated hybrid approach for prostate gland segmentation in MR images using an initial segmentation of prostate volumes using a custom-made 3D deep network (VNet-T2), followed by refinement using an Active Shape Model (ASM). While the

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Nian, Ting-kai, Yan-jun Zhang, Hao Wu, Guang-qi Chen, and Lu Zheng. "Runout simulation of seismic landslides using discontinuous deformation analysis (DDA) with state-dependent shear strength model." Canadian Geotechnical Journal 57, no. 8 (2020): 1183–96. http://dx.doi.org/10.1139/cgj-2019-0312.

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The reliable numerical simulation of the landslide process contributes to the establishment of evidence-based disaster mitigation measures in seismically active zones. To achieve this goal, a simple and unified state-dependent shear strength model of discontinuities is presented to describe the shear strength degradation in a seismic landslide process. The proposed model establishes a relationship between the shear strength parameters and the global safety factor of the slope by assuming that the slope instability (or landslide initiation) is accompanied by an instantaneous shear strength degr

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Alazeezi, Mohammed, Nikola Popovic, and Predrag Elek. "Two-component propellant grain for rocket motor: Combustion analysis and geometric optimization." Thermal Science 26, no. 2 Part B (2022): 1567–78. http://dx.doi.org/10.2298/tsci210604290a.

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The paper considers utilization of rocket motor propellant grains that consist of two propellants. The idea is to achieve approximately neutral burning using an outer surface inhibited cylindrical shape and complex contact surface between propellants. An existing propellant grain with complex geometry has been analytically modeled in terms of determination of evolution of corresponding burning surface areas. The analytical and experimental results? diagrams of this grain have been found to have a saw-tooth shape because of the segments that separate the two propellants, causing potential probl

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Kalivoda, Jan. "Simulation Analysis of an Electric Locomotive with a Hydraulic Wheelset Guidance System for Improved Performance in Curved Tracks." Machines 13, no. 4 (2025): 321. https://doi.org/10.3390/machines13040321.

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A reduction of forces acting between the railway track and the vehicle is one of the key issues in the design of modern rolling stock. Because the capabilities of reducing wheel–rail contact forces in track curves by conventional methods are encountered at their limits, innovative approaches in the design of vehicle suspension and wheelset guidance occur. Among them, an active wheelset steering appears to be very promising. However, an active wheelset steering system is rather complicated and expensive and raises many safety issues. Therefore, a passive hydraulic system that links longitudinal

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Kurkinen, Sami T., Jukka V. Lehtonen, Olli T. Pentikäinen, and Pekka A. Postila. "Ligand-Enhanced Negative Images Optimized for Docking Rescoring." International Journal of Molecular Sciences 23, no. 14 (2022): 7871. http://dx.doi.org/10.3390/ijms23147871.

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Despite the pivotal role of molecular docking in modern drug discovery, the default docking scoring functions often fail to recognize active ligands in virtual screening campaigns. Negative image-based rescoring improves docking enrichment by comparing the shape/electrostatic potential (ESP) of the flexible docking poses against the target protein’s inverted cavity volume. By optimizing these negative image-based (NIB) models using a greedy search, the docking rescoring yield can be improved massively and consistently. Here, a fundamental modification is implemented to this shape-focused pharm

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Liang, Yanqiu. "Intelligent Emotion Evaluation Method of Classroom Teaching Based on Expression Recognition." International Journal of Emerging Technologies in Learning (iJET) 14, no. 04 (2019): 127. http://dx.doi.org/10.3991/ijet.v14i04.10130.

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To solve the problem of emotional loss in teaching and improve the teaching effect, an intelligent teaching method based on facial expression recognition was studied. The traditional active shape model (ASM) was improved to extract facial feature points. Facial expression was identified by using the geometric features of facial features and support vector machine (SVM). In the expression recognition process, facial geometry and SVM methods were used to generate expression classifiers. Results showed that the SVM method based on the geometric characteristics of facial feature points effectively

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Caccavale, Paolo, Benedetto Mele, Marco Brandizzi, and Gianpaolo Ruocco. "Fully Coupled Fluid–Structure Interaction with Heat Transfer Effects in an Adaptive NACA Airfoil." Fluids 8, no. 2 (2023): 39. http://dx.doi.org/10.3390/fluids8020039.

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In the framework of innovative aerodynamics, active airfoils can be developed and exploited based on the integration of shape memory metal alloys (SMAs), allowing for surface adaptation, i.e., shape changes in response to operative thermal inputs, depending on the desired aerodynamic behavior. The purpose of thermally activated shape-changing (TASC) airfoils’ improved capabilities is to offer benefits in terms of aircraft performance and fuel consumption rate. TASC airfoil design hinges upon three intertwined and nonlinear phenomena, namely the solid–fluid–thermal interactions. In this paper,

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Goel, Honey, Suresh Thareja, Priyanka Malla, Manoj Kumar, and V. R. Sinha. "In Silico Predicative Studies for Cytotoxic Potential of NSAIDs Using Self-Organizing Molecular Field Analysis." International Journal of Toxicology 31, no. 4 (2012): 390–96. http://dx.doi.org/10.1177/1091581812444140.

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Antiproliferative potential of nonsteroidal anti-inflammatory drugs (NSAIDs) has generated an immense interest among the scientific fraternity to assess its broader role in the chemoprevention of colon cancer. Due to serious adverse events associated with the chemotherapy, NSAIDs have been exploited as adjuvants to synergize the cytotoxic potential of conventional chemotherapeutic agents at low-dose regimens. The present investigation has been focused on in silico model generation for in vitro cytotoxicity activity of the clinically active NSAIDs using self-organizing molecular field analysis

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Fu, JinFeng, and Hongli Zhang. "Personality Trait Detection Based on ASM Localization and Deep Learning." Scientific Programming 2021 (August 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/5675917.

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Global competition is the competition of human resources, the social demand for high-quality talents is increasing, and the demand for all kinds of talents is increasing. Therefore, how to scientifically and efficiently complete the preliminary screening of college students’ mental health, so as to provide services for them, has become an important task. In order to solve the above problems, by combining the relevant professional knowledge of psychology, statistics, image processing, and artificial intelligence technology, a personality trait detection method based on active shape model (ASM)

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