Academic literature on the topic 'Area Projection Transform'
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Journal articles on the topic "Area Projection Transform"
YANG, JIANWEI, LIANG ZHANG, and ZHENGDA LU. "THE MELLIN CENTRAL PROJECTION TRANSFORM." ANZIAM Journal 58, no. 3-4 (March 7, 2017): 256–64. http://dx.doi.org/10.1017/s1446181116000341.
Full textDorrek, Felix, and Franz E. Schuster. "Projection functions, area measures and the Alesker–Fourier transform." Journal of Functional Analysis 273, no. 6 (September 2017): 2026–69. http://dx.doi.org/10.1016/j.jfa.2017.06.003.
Full textZhou, Xiaohui, and Baoqin Wang. "Wavelet analysis on some smooth surface with nonzero constant Gaussian curvature." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 01 (January 2018): 1850007. http://dx.doi.org/10.1142/s0219691318500078.
Full textWang, Bao Qin, Gang Wang, Xiao Hui Zhou, and Yu Su. "Wavelet analysis on developable surface base on area preserving projection." International Journal of Wavelets, Multiresolution and Information Processing 13, no. 01 (January 2015): 1550007. http://dx.doi.org/10.1142/s0219691315500071.
Full textMA, Tong Yi, and Li Li Zhang. "Lp−Winterniz problem on firey projection of convex bodies." Tamkang Journal of Mathematics 45, no. 2 (June 30, 2014): 179–93. http://dx.doi.org/10.5556/j.tkjm.45.2014.1017.
Full textSuzuki, Sodai, Yuichi Akatsuka, Wei Jiang, Motoharu Fujigaki, and Masaaki Otsu. "Development of Quick Three-Dimensional Shape Measurement Projection Mapping System Using a Whole-Space Tabulation Method." Applied Sciences 9, no. 20 (October 18, 2019): 4408. http://dx.doi.org/10.3390/app9204408.
Full textGiachetti, A., and C. Lovato. "Radial Symmetry Detection and Shape Characterization with the Multiscale Area Projection Transform." Computer Graphics Forum 31, no. 5 (August 2012): 1669–78. http://dx.doi.org/10.1111/j.1467-8659.2012.03172.x.
Full textTian, Xi Jie, Jing Yu, and Chang Chun Li. "Identification of the Hook on Investment Casting Shell Line Based on Machine Vision." Applied Mechanics and Materials 220-223 (November 2012): 1356–61. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1356.
Full textYan, Jin, Tiansheng Xu, Ni Li, and Guanghong Gong. "Regression and Evaluation on a Forward Interpolated Version of the Great Circle Arcs–Based Distortion Metric of Map Projections." ISPRS International Journal of Geo-Information 10, no. 10 (September 26, 2021): 649. http://dx.doi.org/10.3390/ijgi10100649.
Full textFeng, Xiang, Yang-chun Song, Zhi-quan Zhou, and Yi-nan Zhao. "Designing Unimodular Waveform with Low Range Sidelobes and Stopband for Cognitive Radar via Relaxed Alternating Projection." International Journal of Antennas and Propagation 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6280508.
Full textDissertations / Theses on the topic "Area Projection Transform"
LOVATO, Christian. "Three-dimensional body scanning: methods and applications for anthropometry." Doctoral thesis, 2013. http://hdl.handle.net/11562/540549.
Full textIn this thesis we describe the developed computer method and experiments performed in order to apply whole body 3D scanner technology in support to anthropometry. The output of whole body scanners is a cloud of points, usually transformed in a triangulated mesh through the use of specific algorithms in order to support the 3D visualization of the surface and the extraction of meaningful anthropometric landmarks and measurements. Digital anthropometry has been already used in various studies to assess important health-related parameters. Digital anthropometric analysis is usually performed using device-specific and closed software solutions provided by scanner manufacturers, and requires often a careful acquisition, with strong constraints on subject pose. This may create problems in comparing data acquired in different places and performing large-scale multi-centric studies as well as in applying advanced shape analysis tools on the captured models. The aim of our work is to overcome these problems by selecting and customizing geometrical processing tools able to create an open and device-independent method for the analysis of body scanner data. We also developed and validated methods to extract automatically feature points, body segments and relevant measurements that can be used in anthropometric and metabolic research. In particular we present three experiments. In the first, using specific digital anthropometry software, we evaluated the Breuckmann BodySCAN for performance in anthropometric measurement. Subjects of the experiment were 12 young adults underwent both manual and 3D digital anthropometry (25 measurements) wearing close-fitting underwear. Duplicated manual measurement taken by one experienced anthropometrist showed correlation r 0.975-0.999; their means were significantly different in four out of 25 measurements by Student’s t test. Duplicate digital measurements taken by one experienced anthropometrist and two naïve anthropometrists showed individual correlation coefficients r ranging 0.975-0.999 and means were significantly different in one out of 25 measurements. Most measurements taken by the experienced anthropometrist in the manual and digital mode showed significant correlation (intraclass correlation coefficient ranging 0.855-0.995, p<0.0001). We conclude that the Breuckmann BodyScan is reliable and effective tool for digital anthropometry. In a second experiment, we compare easily detectable geometrical features obtained from 3D scans of female obese (BMI > 30) subjects with body composition (measured with a DXA device) of the same subjects, in order to investigate which measurements on shape descriptors better correlate with torso and body fat. The results obtained show that some of the tested geometrical parameters have a relevant correlation, while other ones do not strongly correlate with body fat. These results support the role of digital anthropometry in investigating health-related physical characteristics and encourage the realization of further studies analyzing the relationships between shape descriptors and body composition. Finally, we present a novel method to characterize 3D surfaces through the computation of a function called Area Projection Transform, measuring the likelihood of points in the 3D space to be center of radial symmetry at selected scales (radii). The transform can be used to detect and characterize robustly salient regions (approximately spherical and cylindrical parts) and it is, therefore, suitable for applications like anatomical features detection. In particular, we show that it is possible to build graphs joining these points following maximal values of the MAPT (Radial Symmetry Graphs) and that these graphs can be used to extract relevant shape properties or to establish point correspondences on models robustly against holes, topological noise and articulated deformations. It is concluded that whole body scanning technology application to anthropometry are potentially countless, limited only by the ability of science to connect the biological phenomenon with the appropriate mathematical/geometrical descriptions.
Books on the topic "Area Projection Transform"
Huybrechts, D. Fourier–Mukai Transforms. Oxford University Press, 2007. http://dx.doi.org/10.1093/acprof:oso/9780199296866.003.0005.
Full textHuybrechts, D. Fourier-Mukai Transforms in Algebraic Geometry. Oxford University Press, 2007. http://dx.doi.org/10.1093/acprof:oso/9780199296866.001.0001.
Full textGamberini, Andrea. Rural Communes and the Culture of Practices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824312.003.0012.
Full textTretkoff, Paula. Complex Surfaces and Coverings. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691144771.003.0004.
Full textKondapalli, Srikanth. China’s Evolving Naval Presence in the Indian Ocean Region. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199479337.003.0007.
Full textBullock, Barbara E., Lars Hinrichs, and Almeida Jacqueline Toribio. World Englishes, Code-Switching, and Convergence. Edited by Markku Filppula, Juhani Klemola, and Devyani Sharma. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199777716.013.009.
Full textMarks II, Robert J. Handbook of Fourier Analysis & Its Applications. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780195335927.001.0001.
Full textTércio, Daniel, ed. TEPe 2022 - Encontro Internacional sobre a Cidade, o Corpo e o Som. INET-md, Faculdade de Motricidade Humana, Universidade de Lisboa, 2022. http://dx.doi.org/10.53072/ilic8040.
Full textBook chapters on the topic "Area Projection Transform"
Cook, A., O. Rondon, J. Graindorge, and G. Booth. "Iterative Gaussianisation for Multivariate Transformation." In Springer Proceedings in Earth and Environmental Sciences, 21–35. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19845-8_2.
Full textEshel, Gidon. "Empirical Orthogonal Functions." In Spatiotemporal Data Analysis. Princeton University Press, 2011. http://dx.doi.org/10.23943/princeton/9780691128917.003.0011.
Full textWalley, Jonathan. "Cinema as Performance." In Cinema Expanded, 157–253. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190938635.003.0004.
Full textKang, Yiyun. "Casting." In Practices of Projection, 193–210. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190934118.003.0012.
Full textLi, Bingcheng. "Time Frequency Analysis for Radio Frequency (RF) Signal Processing." In Recent Advances of Wavelet Transform and Their Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102821.
Full textSugimoto, Masanori. "Projected Displays of Mobile Devices for Collaboration." In Handbook of Research on User Interface Design and Evaluation for Mobile Technology, 594–607. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-871-0.ch035.
Full textMotornyuk, Ruslan Leonidovich, and Stepan Mykolayovych Bilan. "The Moving Object Detection and Research Effects of Noise on Images Based on Cellular Automata With a Hexagonal Coating Form and Radon Transform." In Handbook of Research on Intelligent Data Processing and Information Security Systems, 330–59. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1290-6.ch013.
Full textDelello, Julie A., and Rochell R. McWhorter. "New Visual Social Media for the Higher Education Classroom." In The Social Classroom, 368–93. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4904-0.ch019.
Full textManuel Velazquez Arcos, Juan, Ricardo Teodoro Paez Hernandez, Alejandro Perez Ricardez, Jaime Granados Samaniego, and Alicia Cid Reborido. "On the Zap Integral Operators over Fourier Transforms." In Real Perspective of Fourier Transforms and Current Developments in Superconductivity. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94573.
Full textRolls, Edmund T. "The olfactory system." In Brain Computations, 217–31. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198871101.003.0005.
Full textConference papers on the topic "Area Projection Transform"
Xiang-yang, Yang, Wu Min-shian, and Chin Kuo-fan. "Measuring Two Dimensional OTF Applying CT Principle." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ods.1985.thdd3.
Full textSingh, Dhruv, Atul Srivastava, and K. Muralidhar. "Tomographic Reconstruction of Unsteady Fields Using Proper Orthogonal Decomposition." In ASME 2008 Heat Transfer Summer Conference collocated with the Fluids Engineering, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/ht2008-56443.
Full textNeureuther, A. R. "Application of Lithography Simulation to Projection X-Ray." In Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/sxray.1993.ma.5.
Full textChen, Shisheng, Xiaofang Wang, Aidi Qian, and Zhizhan Xu. "Soft-X-Ray Emission Characteristics of Line-Shaped, Laser-Produced Plasmas." In Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/sxray.1991.wa12.
Full textCarruthers, John R. "Future Lithographic Requirements." In Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/sxray.1993.ma.1.
Full textBrophy, Chris P. "Phase-shifting fringe-projection profile accuracy." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tuu25.
Full textKunz, R. R., M. A. Hartney, and M. Rothschild. "Resist Alternatives for Sub-0.35-μm Lithography Using Highly Attenuated Radiation." In Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/sxray.1992.wc1.
Full textMacDowell, A. A., O. R. Wood, J. M. Calvert, and T. S. Koloski. "A New Surface Imaging Resist Technology for Soft-X-Ray Projection Lithography." In Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/sxray.1993.tua.5.
Full textWu, Xiao, Ting-Zhu Huang, Liang-Jian Deng, and Tian-Jing Zhang. "A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/205.
Full textZhang, Juntao, and Raj M. Manglik. "Numerical Investigation of Single Bubble Dynamics During Nucleate Boiling in Aqueous Surfactant Solutions." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47047.
Full textReports on the topic "Area Projection Transform"
Asian Development Outlook 2021 Update: Transforming Agriculture in Asia. Asian Development Bank, September 2021. http://dx.doi.org/10.22617/fls210352-3.
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