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Relevant bibliographies by topics / Spherical parameterization

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Academic literature on the topic 'Spherical parameterization'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Spherical parameterization"

1

Friedel, Ilja, Peter Schröder, and Mathieu Desbrun. "Unconstrained Spherical Parameterization." Journal of Graphics Tools 12, no. 1 (January 2007): 17–26. http://dx.doi.org/10.1080/2151237x.2007.10129230.

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Dupuy, Jonathan, Eric Heitz, and Laurent Belcour. "A spherical cap preserving parameterization for spherical distributions." ACM Transactions on Graphics 36, no. 4 (July 20, 2017): 1–12. http://dx.doi.org/10.1145/3072959.3073694.

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3

Wu, Yong, Yuanjun He, and Haishan Tian. "Relaxation of spherical parameterization meshes." Visual Computer 21, no. 11 (July 22, 2005): 897–904. http://dx.doi.org/10.1007/s00371-005-0301-7.

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4

Li, Li, David Zhang, Zhigeng Pan, Jiaoying Shi, Kun Zhou, and Kai Ye. "Watermarking 3D mesh by spherical parameterization." Computers & Graphics 28, no. 6 (December 2004): 981–89. http://dx.doi.org/10.1016/j.cag.2004.08.002.

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Sheffer, A., C. Gotsman, and N. Dyn. "Robust Spherical Parameterization of Triangular Meshes." Computing 72, no. 1-2 (April 1, 2004): 185–93. http://dx.doi.org/10.1007/s00607-004-0056-9.

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Räisänen, P., A. Kokhanovsky, G. Guyot, O. Jourdan, and T. Nousiainen. "Parameterization of single-scattering properties of snow." Cryosphere 9, no. 3 (June 23, 2015): 1277–301. http://dx.doi.org/10.5194/tc-9-1277-2015.

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Abstract. Snow consists of non-spherical grains of various shapes and sizes. Still, in many radiative transfer applications, single-scattering properties of snow have been based on the assumption of spherical grains. More recently, second-generation Koch fractals have been employed. While they produce a relatively flat phase function typical of deformed non-spherical particles, this is still a rather ad hoc choice. Here, angular scattering measurements for blowing snow conducted during the CLimate IMpacts of Short-Lived pollutants In the Polar region (CLIMSLIP) campaign at Ny Ålesund, Svalbard, are used to construct a reference phase function for snow. Based on this phase function, an optimized habit combination (OHC) consisting of severely rough (SR) droxtals, aggregates of SR plates and strongly distorted Koch fractals is selected. The single-scattering properties of snow are then computed for the OHC as a function of wavelength λ and snow grain volume-to-projected area equivalent radius rvp. Parameterization equations are developed for λ = 0.199–2.7 μm and rvp = 10–2000 μm, which express the single-scattering co-albedo β, the asymmetry parameter g and the phase function P11 as functions of the size parameter and the real and imaginary parts of the refractive index. The parameterizations are analytic and simple to use in radiative transfer models. Compared to the reference values computed for the OHC, the accuracy of the parameterization is very high for β and g. This is also true for the phase function parameterization, except for strongly absorbing cases (β > 0.3). Finally, we consider snow albedo and reflected radiances for the suggested snow optics parameterization, making comparisons to spheres and distorted Koch fractals.

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7

Räisänen, P., A. Kokhanovsky, G. Guyot, O. Jourdan, and T. Nousiainen. "Parameterization of single-scattering properties of snow." Cryosphere Discussions 9, no. 1 (February 13, 2015): 873–926. http://dx.doi.org/10.5194/tcd-9-873-2015.

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Abstract. Snow consists of non-spherical grains of various shapes and sizes. Still, in many radiative transfer applications, single-scattering properties of snow have been based on the assumption of spherical grains. More recently, second-generation Koch fractals have been employed. While they produce a relatively flat phase function typical of deformed non-spherical particles, this is still a rather ad-hoc choice. Here, angular scattering measurements for blowing snow conducted during the CLimate IMpacts of Short-Lived pollutants In the Polar region (CLIMSLIP) campaign at Ny Ålesund, Svalbard, are used to construct a reference phase function for snow. Based on this phase function, an optimized habit combination (OHC) consisting of severely rough (SR) droxtals, aggregates of SR plates and strongly distorted Koch fractals is selected. The single-scattering properties of snow are then computed for the OHC as a function of wavelength λ and snow grain volume-to-projected area equivalent radius rvp. Parameterization equations are developed for λ = 0.199–2.7 μm and rvp = 10–2000 μm, which express the single-scattering co-albedo β, the asymmetry parameter g and the phase function P11 as functions of the size parameter and the real and imaginary parts of the refractive index. The parameterizations are analytic and simple to use in radiative transfer models. Compared to the reference values computed for the OHC, the accuracy of the parameterization is very high for β and g. This is also true for the phase function parameterization, except for strongly absorbing cases (β > 0.3). Finally, we consider snow albedo and reflected radiances for the suggested snow optics parameterization, making comparisons to spheres and distorted Koch fractals.

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8

ZHANG, Jielin, Zhao WANG, and Zhongxuan LUO. "Spherical parameterization based on planar ARAP+ method." SCIENTIA SINICA Informationis 47, no. 4 (February 22, 2017): 428–41. http://dx.doi.org/10.1360/n112016-00172.

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Nadeem, Saad, Zhengyu Su, Wei Zeng, Arie Kaufman, and Xianfeng Gu. "Spherical Parameterization Balancing Angle and Area Distortions." IEEE Transactions on Visualization and Computer Graphics 23, no. 6 (June 1, 2017): 1663–76. http://dx.doi.org/10.1109/tvcg.2016.2542073.

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Gotsman, Craig, Xianfeng Gu, and Alla Sheffer. "Fundamentals of spherical parameterization for 3D meshes." ACM Transactions on Graphics 22, no. 3 (July 2003): 358–63. http://dx.doi.org/10.1145/882262.882276.

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Dissertations / Theses on the topic "Spherical parameterization"

1

Weistrand, Ola. "Global Shape Description of Digital Objects." Doctoral thesis, Uppsala : Department of Mathematics, Uppsala University [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6030.

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Brunton, Alan P. "Multi-scale Methods for Omnidirectional Stereo with Application to Real-time Virtual Walkthroughs." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23552.

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This thesis addresses a number of problems in computer vision, image processing, and geometry processing, and presents novel solutions to these problems. The overarching theme of the techniques presented here is a multi-scale approach, leveraging mathematical tools to represent images and surfaces at different scales, and methods that can be adapted from one type of domain (eg., the plane) to another (eg., the sphere). The main problem addressed in this thesis is known as stereo reconstruction: reconstructing the geometry of a scene or object from two or more images of that scene. We develop novel algorithms to do this, which work for both planar and spherical images. By developing a novel way to formulate the notion of disparity for spherical images, we are able effectively adapt our algorithms from planar to spherical images. Our stereo reconstruction algorithm is based on a novel application of distance transforms to multi-scale matching. We use matching information aggregated over multiple scales, and enforce consistency between these scales using distance transforms. We then show how multiple spherical disparity maps can be efficiently and robustly fused using visibility and other geometric constraints. We then show how the reconstructed point clouds can be used to synthesize a realistic sequence of novel views, images from points of view not captured in the input images, in real-time. Along the way to this result, we address some related problems. For example, multi-scale features can be detected in spherical images by convolving those images with a filterbank, generating an overcomplete spherical wavelet representation of the image from which the multiscale features can be extracted. Convolution of spherical images is much more efficient in the spherical harmonic domain than in the spatial domain. Thus, we develop a GPU implementation for fast spherical harmonic transforms and frequency domain convolutions of spherical images. This tool can also be used to detect multi-scale features on geometric surfaces. When we have a point cloud of a surface of a particular class of object, whether generated by stereo reconstruction or by some other modality, we can use statistics and machine learning to more robustly estimate the surface. If we have at our disposal a database of surfaces of a particular type of object, such as the human face, we can compute statistics over this database to constrain the possible shape a new surface of this type can take. We show how a statistical spherical wavelet shape prior can be used to efficiently and robustly reconstruct a face shape from noisy point cloud data, including stereo data.

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Gauthier, Mathieu. "Images géométriques de genre arbitraire dans le domaine sphérique." Thèse, 2008. http://hdl.handle.net/1866/7210.

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Books on the topic "Spherical parameterization"

1

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine strato cumulus region and the tropical Atlantic ocean. [Washington, DC: National Aeronautics and Space Administration, 1993.

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2

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine strato cumulus region and the tropical Atlantic ocean. [Washington, DC: National Aeronautics and Space Administration, 1993.

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3

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine stratocumulus region and the tropical Atlantic ocean: A thesis ... [Washington, DC: National Aeronautics and Space Administration, 1993.

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4

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine stratocumulus region and the tropical Atlantic ocean: A thesis ... [Washington, DC: National Aeronautics and Space Administration, 1993.

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Book chapters on the topic "Spherical parameterization"

1

Asirvatham, Arul, Emil Praun, and Hugues Hoppe. "Consistent Spherical Parameterization." In Lecture Notes in Computer Science, 265–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11428848_33.

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2

Sheffer, A., C. Gotsman, and N. Dyn. "Robust Spherical Parameterization of Triangular Meshes." In Geometric Modelling, 185–93. Vienna: Springer Vienna, 2004. http://dx.doi.org/10.1007/978-3-7091-0587-0_15.

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3

Lefèvre, Julien, and Guillaume Auzias. "Spherical Parameterization for Genus Zero Surfaces Using Laplace-Beltrami Eigenfunctions." In Lecture Notes in Computer Science, 121–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25040-3_14.

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4

Mocanu, Bogdan, and Titus Zaharia. "Direct Spherical Parameterization of 3D Triangular Meshes Using Local Flattening Operations." In Advances in Visual Computing, 607–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24028-7_56.

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5

Dhibi, Naziha, Akram Elkefai, and Chokri Ben Amar. "A Study on the Influence of Wavelet Number Change in the Wavelet Neural Network Architecture for 3D Mesh Deformation Using Trust Region Spherical Parameterization." In Artificial Neural Networks and Machine Learning – ICANN 2018, 545–55. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01421-6_52.

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Conference papers on the topic "Spherical parameterization"

1

Friedel, Ilja, Peter Schröder, and Mathieu Desbrun. "Unconstrained spherical parameterization." In ACM SIGGRAPH 2005 Sketches. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1187112.1187274.

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2

Hu, Jianping, Xiuping Liu, Zhixun Su, Xiquan Shi, and Fengshan Liu. "An Efficient Low Stretch Spherical Parameterization." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.561.

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3

Gotsman, Craig, Xianfeng Gu, and Alla Sheffer. "Fundamentals of spherical parameterization for 3D meshes." In ACM SIGGRAPH 2003 Papers. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/1201775.882276.

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4

Mocanu, Bogdan, and Titus Zaharia. "Direct Spherical Parameterization Based on Surface Curvature." In 2011 Workshop on Digital Media and Digital Content Management. IEEE, 2011. http://dx.doi.org/10.1109/dmdcm.2011.61.

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5

Sun, Chao, Zhenbo Guo, Kaixi Wang, and Na Cheng. "Energy Optimized Parameterization of Spherical Triangle Mesh." In 2016 International Conference on Intelligent Control and Computer Application (ICCA 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icca-16.2016.60.

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Zhu, Zun-Jian, and Ming-Yong Pang. "Morphing 3D Mesh Models Based on Spherical Parameterization." In 2009 International Conference on Multimedia Information Networking and Security. IEEE, 2009. http://dx.doi.org/10.1109/mines.2009.29.

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7

Li Shen and F. Makedon. "Spherical parameterization for 3D surface analysis in volumetric images." In International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286538.

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8

Zhang, Ruqin, Eliot Winer, and James H. Oliver. "Subdivision-Based 3D Remeshing With a Fast Spherical Parameterization Method." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28904.

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3D mesh parameterization is widely investigated with various parameter domains and applied in many computer graphics applications. As many surface meshes are manifolds of genus zero, mapping these meshes onto a topologically equivalent sphere provides some advantages. We introduce an efficient parameterization method based on barycentric embedding for this spherical domain. This method provides an overlapping solution which emphasizes on eliminating the vertex overlappings to ensure bijectivity. Experimental results indicate that it works faster than existing spherical parameterization methods. And we also provide a robust spherical remeshing algorithm based on spherical mesh subdivision. A local recursive subdivision process is employed to cover all the geometric details from the original mesh. Such subdivision process can be controlled to match the desired level of details (LOD), which will create a group of mesh representations with different resolutions. This multi-resolution remeshing framework could benefit various graphical applications including geometry rendering, mesh simplification/refinement, model morphing and etc.

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Li, Ying, Zhouwang Yang, and Jiansong Deng. "Spherical Parameterization of Genus-Zero Meshes Using the Lagrange-Newton Method." In 2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics. IEEE, 2007. http://dx.doi.org/10.1109/cadcg.2007.4407846.

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Zhang, Qi, Dongmei Niu, Xiaofang Wang, and Xiuyang Zhao. "A spherical volumetric parameterization approach based on large-scale distortion harmonic energy." In 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN). IEEE, 2017. http://dx.doi.org/10.1109/iccsn.2017.8230210.

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