Relevant bibliographies by topics / 3D Elliptical Fourier Descriptors

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Academic literature on the topic '3D Elliptical Fourier Descriptors'

Author: Grafiati
Published: 15 February 2025

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Journal articles on the topic "3D Elliptical Fourier Descriptors"

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Jeong, Yongwon, and Richard J. Radke. "Reslicing axially sampled 3D shapes using elliptic Fourier descriptors." Medical Image Analysis 11, no. 2 (April 2007): 197–206. http://dx.doi.org/10.1016/j.media.2006.12.003.

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Prpić-Oršić, Jasna, Marko Valčić, and Zoran Čarija. "A Hybrid Wind Load Estimation Method for Container Ship Based on Computational Fluid Dynamics and Neural Networks." Journal of Marine Science and Engineering 8, no. 7 (July 20, 2020): 539. http://dx.doi.org/10.3390/jmse8070539.

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The estimation of wind loads on ships and other marine objects represents a continuous challenge because of its implication for various aspects of exposed structure exploitation. An extended method for estimating the wind loads on container ships is presented. The method uses the Generalized Regression Neural Network (GRNN), which is trained with Elliptic Fourier Descriptors (EFD) of sets of frontal and lateral closed contours as inputs. Wind load coefficients (Cx, Cy, CN), used as outputs for network training, are derived from 3D steady RANS CFD analysis. This approach is very suitable for assessing wind loads on container ships wherever there is a wind load database for a various container configuration. In this way, the cheaper and faster calculation can bridge the gap for the container configurations for which calculations or experiments have not already been made. The results obtained by trained GRNN are in line with available experimental measurements of the wind loads on various container configuration on the deck of a 9000+ TEU container ship obtained through a series of wind tunnel tests, as well as with performed CFD simulation for the same conditions.
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Wu, Ge, Duan Li, Pengpeng Hu, Yueqi Zhong, and Ning Pan. "Foot shape prediction using elliptical Fourier analysis." Textile Research Journal 88, no. 9 (February 17, 2017): 1026–37. http://dx.doi.org/10.1177/0040517517693983.

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In this paper, a new method was proposed to establish the relationship between three-dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which a complete 3D foot shape can be predicted by simply inputting its two 2D silhouettes. 3D foot scans of 80 participants were randomly selected as the training set, and those of another 20 participants were used as the testing set. Elliptical Fourier analysis (EFA) and principle component analysis (PCA) were adopted to parameterize the 3D foot shapes. A linear regressive model was then developed to predict the 3D foot shape with the foot silhouettes. Experiment results indicated individual 3D foot shape can be predicted with a mean error between 1.21 and 1.27 mm, which can provide enough accuracy for the fit evaluation of footwear.
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Mollon, Guilhem, and Jidong Zhao. "Generating realistic 3D sand particles using Fourier descriptors." Granular Matter 15, no. 1 (October 30, 2012): 95–108. http://dx.doi.org/10.1007/s10035-012-0380-x.

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López-Sampson, Arlene, and Tony Page. "Elliptical Fourier Descriptors of Leaf Outlines: A Tool to Discriminate Among Aquilaria Species (Thymelaeaceae)." Silvae Genetica 67, no. 1 (September 1, 2018): 89–92. http://dx.doi.org/10.2478/sg-2018-0012.

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Abstract Leaf shape analysis of three Aquilaria species was undertaken using Elliptical Fourier descriptors (EFD) within a research plan­ting in tropical Australia. This approach was taken to develop a method for discriminating the species in the absence of repro­ductive traits or genetic analysis and as a morphological scale of leaf variation. Leaf outlines were analysed to distinguish variability between species. Principal components analysis and canonical discriminant analysis were applied to group the spe­cies based on 25 Fourier descriptors. Four components were required to explain 78 % of the variance and the first and second canonical functions discriminated three groups of spe­cies therefore EFD was a useful approach for analysing leaf out­line variability and distinguish species in the genus Aquilaria. This approach provides a rapid method that could assist in the species identification in Aquilaria where reproductive traits are absent.
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Kwok, S. K. W., and J. C. H. Poon. "Viewpoint-invariant Fourier descriptors for 3D planar shape representation." Electronics Letters 32, no. 19 (1996): 1775. http://dx.doi.org/10.1049/el:19961217.

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Wu, M. F., and H. T. Sheu. "Representation of 3D surfaces by two-variable Fourier descriptors." IEEE Transactions on Pattern Analysis and Machine Intelligence 20, no. 8 (1998): 858–63. http://dx.doi.org/10.1109/34.709610.

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Wu, Ming-Fang, and Hsin-Teng Sheu. "3D invariant estimation of axisymmetric objects using fourier descriptors." Pattern Recognition 29, no. 2 (February 1996): 267–80. http://dx.doi.org/10.1016/0031-3203(95)00088-7.

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Stransky, Christoph, and Shayne E. MacLellan. "Species separation and zoogeography of redfish and rockfish (genus Sebastes) by otolith shape analysis." Canadian Journal of Fisheries and Aquatic Sciences 62, no. 10 (October 1, 2005): 2265–76. http://dx.doi.org/10.1139/f05-143.

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Interspecific otolith shape variation was investigated within the species-rich genus Sebastes (redfish, rockfish) as a tool for species separation, since morphological distinction has proven to be difficult. Otolith samples from all four North Atlantic redfish species, six commercially important rockfish species from the North Pacific, and Sebastes capensis from the South Atlantic were compared for differences in linear otolith measurements and elliptical Fourier-shape descriptors. A clear distinction between the North Atlantic and North Pacific / South Atlantic species (97% correct jackknifed classification) was achieved by univariate measurements and discriminant analysis of size-corrected Fourier descriptors. Overall species classification success was 91%, 94% within the North Pacific species and 88% within the North Atlantic samples. From the Pacific rockfish, Sebastes alutus otoliths showed the strongest affinity to the North Atlantic Sebastes. High similarity of otolith shapes of S. capensis to the North Pacific Sebastes and clear discrimination from North Atlantic species coincide with current zoogeographical and speciation theories, as well as with recently reported genetic results.
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LIN, SHENG-FUU, CHIN-CHIA WU, CHI-YAO HSU, and DOU-CHIH HSU. "AN EFFICIENT 3D MODEL RETRIEVAL BASED ON PRINCIPAL AXES ANALYSIS AND FEATURE INTEGRATION." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 04 (June 2011): 583–604. http://dx.doi.org/10.1142/s0218001411008749.

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Three-dimensional (3D) model retrieval has gathered great importance in recent years, since the number of available 3D models on the Internet has drastically increased. Many content-based 3D model retrieval approaches have been proposed. Among these methods, visual similarity-based methods have shown higher retrieval accuracy. However, because these methods capture enormous shape features from different viewpoints or locations, a large amount of calculation and comparison is necessary. Furthermore, there is a trade-off between retrieval accuracy and speed. In this paper, a 3D model retrieval method constituting Continuous Principal Component Analysis (CPCA), Fourier descriptors, and Zernike moments is proposed. CPCA is applied to extract significant shape features based on projecting the model along the principal axes. Then, Fourier descriptors and Zernike moments are used to provide shape descriptors with rotation invariants. In addition, a feature integration process combines them. A strategy of similarity measure is proposed to solve the axes switching problem. To conclude, the experimental results show that the approach outperforms SECTORS2 and D2,18 and has slightly better retrieval results than Light Field Descriptor (LFD)6 and spin-image signatures.3 Moreover, the approach is more efficient and the storage size is much less.
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Dissertations / Theses on the topic "3D Elliptical Fourier Descriptors"

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Zorn, Pierre Emmanuel. "Études morphologiques quantitatives par descripteurs elliptiques de Fourier des contours fermés en 3 dimensions." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD036.

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La morphométrie étudie les formes et dimensions des structures. Elle est essentielle en médecine légale et en anthropologie, notamment pour l’identification du sexe à partir de structures osseuses. Ce travail s’appuie sur les Descripteurs Elliptiques de Fourier (DEF) en 2D et 3D pour analyser les contours du grand bassin et du foramen obturé à partir de 300 acquisitions tomodensitométriques, en étudiant leur potentiel pour la diagnose sexuelle. En combinant les deux régions anatomiques en 3D, une précision de 89,1% est obtenue, contre 87,5% pour le grand bassin seul. Quelques erreurs de classification (13 femmes et 22 hommes) illustrent des variations naturelles des caractéristiques morphométriques. L’outil informatique développé automatise la réorientation des volumes et la segmentation des contours, rendant possible une classification rapide et fiable, sans intervention humaine, tout en minimisant les biais potentiels. Cette approche démontre le fort potentiel des DEF en 3D pour l’analyse morphométrique avancée et la diagnose sexuelle
Morphometry studies the shapes and dimensions of structures. It is essential in forensic medicine and anthropology, particularly for sex identification based on bone structures. This work relies on 2D and 3D Elliptical Fourier Descriptors (EFD) to analyze the contours of the true pelvic and obturator foramen from 300 CT scans, exploring their potential for sex diagnosis.By combining the two anatomical regions in 3D, an accuracy of 89.1% was achieved, compared to 87.5% for the true pelvic alone. Some classification errors (13 women and 22 men) reflect natural variations in morphometric characteristics.The developed software automates volume reorientation and contour segmentation, enabling fast and reliable classification without human intervention, while minimizing potential biases. This approach highlights the strong potential of 3D EFD for advanced morphometric analysis and sex diagnosis
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Billiot, Bastien. "Conception d'un dispositif d'acquisition d'images agronomiques 3D en extérieur et développement des traitements associés pour la détection et la reconnaissance de plantes et de maladies." Phd thesis, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00983327.

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Dans le cadre de l'acquisition de l'information de profondeur de scènes texturées, un processus d'estimation de la profondeur basé sur la méthode de reconstruction 3D " Shape from Focus " est présenté dans ce manuscrit. Les deux étapes fondamentales de cette approche sont l'acquisition de la séquence d'images de la scène par sectionnement optique et l'évaluation de la netteté locale pour chaque pixel des images acquises. Deux systèmes d'acquisition de cette séquence d'images sont présentés ainsi que les traitements permettant d'exploiter celle-ci pour la suite du processus d'estimation de la profondeur. L'étape d'évaluation de la netteté des pixels passe par la comparaison des différents opérateurs de mesure de netteté. En plus des opérateurs usuels, deux nouveaux opérateurs basés sur les descripteurs généralisés de Fourier sont proposés. Une méthode nouvelle et originale de comparaison est développée et permet une analyse approfondie de la robustesse à différents paramètres des divers opérateurs. Afin de proposer une automatisation du processus de reconstruction, deux méthodes d'évaluation automatique de la netteté sont détaillées. Finalement, le processus complet de reconstruction est appliqué à des scènes agronomiques, mais également à une problématique du domaine de l'analyse de défaillances de circuits intégrés afin d'élargir les domaines d'utilisation
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Wu, Ming-Fang, and 吳明芳. "The Development of 3D Surface Fourier Descriptors." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/50574410313626788266.

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WU, MING-RUI, and 吳明瑞. "The application of fourier descriptors on 3D vision." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/67551526886446666946.

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(8797445), Xusi Han. "Computational Methods for Protein Structure Comparison and Analysis." Thesis, 2020.

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Proteins are involved in almost all functions in a living cell, and functions of proteins are realized by their tertiary structures. Protein three-dimensional structures can be solved by multiple experimental methods, but computational approaches serve as an important complement to experimental methods for comparing and analyzing protein structures. Protein structure comparison allows the transfer of knowledge about known proteins to a novel protein and plays an important role in function prediction. Obtaining a global perspective of the variety and distribution of protein structures also lays a foundation for our understanding of the building principle of protein structures. This dissertation introduces our computational method to compare protein 3D structures and presents a novel mapping of protein shapes that represents the variety and the similarities of 3D shapes of proteins and their assemblies. The methods developed in this work can be applied to obtain new biological insights into protein atomic structures and electron density maps.
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Book chapters on the topic "3D Elliptical Fourier Descriptors"

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Wang, Jin, Wei Qian, and Haixiao Liu. "Shape Analysis of Pottery Using Elliptic Fourier Descriptor and 3D Scanning." In Advances in Ergonomics in Design, 62–70. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60582-1_7.

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Li, Hongdong, and Richard Hartley. "New 3D Fourier Descriptors for Genus-Zero Mesh Objects." In Computer Vision – ACCV 2006, 734–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11612032_74.

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Chang, Yuan, Jia-Ling Chang, and Jyh-Jone Lee. "Atlas-Based Path Synthesis of Planar Four-Bar Linkages Using Elliptical Fourier Descriptors." In Advances in Mechanism and Machine Science, 198–207. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45709-8_20.

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Conference papers on the topic "3D Elliptical Fourier Descriptors"

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Rezaei, Ahmadreza, Mansur Vafadoost, Sadegh Rezaei, and Ayub Daliri. "3D Pose Estimation via Elliptical Fourier Descriptors for Deformable Hand Representations." In 2008 2nd International Conference on Bioinformatics and Biomedical Engineering. IEEE, 2008. http://dx.doi.org/10.1109/icbbe.2008.797.

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Bradley, Beverly D., Adrian D. C. Chan, and M. John D. Hayes. "A 3D Scanning System for Biomedical Purposes Using the Laser Light-sectioning Method and Elliptical Fourier Descriptors." In 2008 IEEE International Workshop on Medical Measurements and Applications (MeMeA). IEEE, 2008. http://dx.doi.org/10.1109/memea.2008.4543007.

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De Baets, Leen, Chris Develder, Tom Dhaene, and Dirk Deschrijver. "Automated classification of appliances using elliptical fourier descriptors." In 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2017. http://dx.doi.org/10.1109/smartgridcomm.2017.8340669.

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BALLARÒ, B., D. TEGOLO, C. VALENTI, and C. TRIPODO. "COMPLEX OBJECTS CLASSIFIED BY MORPHOLOGICAL SHAPE ANALYSIS AND ELLIPTICAL FOURIER DESCRIPTORS." In Human and Machine Perception - Communication, Interaction, and Integration. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812703095_0008.

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Elyan, Eyad, and Hassan Ugail. "Automatic 3D Face Recognition Using Fourier Descriptors." In 2009 International Conference on CyberWorlds. IEEE, 2009. http://dx.doi.org/10.1109/cw.2009.48.

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"ACTIVE 3D RECOGNITION SYSTEM BASED ON FOURIER DESCRIPTORS." In 4th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001627003180325.

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Kishore, P. V. V., M. V. D. Prasad, Ch Raghava Prasad, and R. Rahul. "4-Camera model for sign language recognition using elliptical fourier descriptors and ANN." In 2015 International Conference on Signal Processing And Communication Engineering Systems (SPACES). IEEE, 2015. http://dx.doi.org/10.1109/spaces.2015.7058288.

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Nicoli, Louis P., and Georgios C. Anagnostopoulos. "Shape-based recognition of targets in synthetic aperture radar images using elliptical Fourier descriptors." In SPIE Defense and Security Symposium, edited by Firooz A. Sadjadi and Abhijit Mahalanobis. SPIE, 2008. http://dx.doi.org/10.1117/12.777806.

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Safaee-Rad, R., K. C. Smith, B. Benhabib, and I. Tchoukanov. "Application of moment and Fourier descriptors to the accurate estimation of elliptical shape parameters." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.150900.

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Shucheng Zhou and Caiying Luo. "On mosaicing 3D broken objects based on multiscale Fourier descriptors." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5688886.

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