Relevant bibliographies by topics / Multiresolution mapping

Academic literature on the topic 'Multiresolution mapping'

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Published: 14 March 2023

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Journal articles on the topic "Multiresolution mapping"

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Tan, Mingzhen, and Anqi Qiu. "Large Deformation Multiresolution Diffeomorphic Metric Mapping for Multiresolution Cortical Surfaces: A Coarse-to-Fine Approach." IEEE Transactions on Image Processing 25, no. 9 (September 2016): 4061–74. http://dx.doi.org/10.1109/tip.2016.2574982.

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Xia, Hedi, and Hector D. Ceniceros. "Kernel Treelets." Advances in Data Science and Adaptive Analysis 11, no. 03n04 (July 2019): 1950006. http://dx.doi.org/10.1142/s2424922x19500062.

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A new method for hierarchical clustering of data points is presented. It combines treelets, a particular multiresolution decomposition of data, with a mapping on a reproducing kernel Hilbert space. The proposed approach, called kernel treelets (KT), uses this mapping to go from a hierarchical clustering over attributes (the natural output of treelets) to a hierarchical clustering over data. KT effectively substitutes the correlation coefficient matrix used in treelets with a symmetric and positive semi-definite matrix efficiently constructed from a symmetric and positive semi-definite kernel function. Unlike most clustering methods, which require data sets to be numeric, KT can be applied to more general data and yields a multiresolution sequence of orthonormal bases on the data directly in feature space. The effectiveness and potential of KT in clustering analysis are illustrated with some examples.
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Fieguth, P., D. Menemenlis, T. Ho, A. Willsky, and C. Wunsch. "Mapping Mediterranean Altimeter Data with a Multiresolution Optimal Interpolation Algorithm." Journal of Atmospheric and Oceanic Technology 15, no. 2 (April 1998): 535–46. http://dx.doi.org/10.1175/1520-0426(1998)015<0535:mmadwa>2.0.co;2.

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Wang, Le, José L. Silván-Cárdenas, Jun Yang, and Amy E. Frazier. "Invasive Saltcedar (Tamariskspp.) Distribution Mapping Using Multiresolution Remote Sensing Imagery." Professional Geographer 65, no. 1 (February 2013): 1–15. http://dx.doi.org/10.1080/00330124.2012.679440.

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LIU, YONG-JIN, KAI TANG, AJAY JONEJA, and MATTHEW MING-FAI YUEN. "MULTIRESOLUTION SHAPE MODELING AND EDITING IN REVERSE ENGINEERING." International Journal of Image and Graphics 05, no. 04 (October 2005): 765–87. http://dx.doi.org/10.1142/s0219467805001999.

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In this paper we propose a multiresolution framework in reverse engineering for complex free-form object modeling and editing. The proposed framework starts with dense point data scanned from the surface of a physical prototype and produces CAD models ready for downstream applications. Targeting on achieving maximum efficiency in the whole reverse engineering process, the proposed framework adopt a hierarchy of shape representations in a special order, i.e. implicit, piecewise linear and parametric surfaces. Based on the proposed hierarchical shape structure, a set of shape editing operators such as Boolean operators, blending, offset, morphing, free-form deformation and texture mapping, is efficiently integrated into the framework. A great diversity of free-form shape models with various modeling operations is presented to demonstrate the effectiveness and efficiency of the proposed multiresolution framework.
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Shyh-Fang, Huang. "Video Classification and Adaptive QoP/QoS Control for Multiresolution Video Applications on IPTV." International Journal of Digital Multimedia Broadcasting 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/801641.

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With the development of heterogeneous networks and video coding standards, multiresolution video applications over networks become important. It is critical to ensure the service quality of the network for time-sensitive video services. Worldwide Interoperability for Microwave Access (WIMAX) is a good candidate for delivering video signals because through WIMAX the delivery quality based on the quality-of-service (QoS) setting can be guaranteed. The selection of suitable QoS parameters is, however, not trivial for service users. Instead, what a video service user really concerns with is the video quality of presentation (QoP) which includes the video resolution, the fidelity, and the frame rate. In this paper, we present a quality control mechanism in multiresolution video coding structures over WIMAX networks and also investigate the relationship between QoP and QoS in end-to-end connections. Consequently, the video presentation quality can be simply mapped to the network requirements by a mapping table, and then the end-to-end QoS is achieved. We performed experiments with multiresolution MPEG coding over WIMAX networks. In addition to the QoP parameters, the video characteristics, such as, the picture activity and the video mobility, also affect the QoS significantly.
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Zhang, Ziyou, Ziliang Feng, Yanqiong Guo, and Wei Wang. "Three-dimensional Face Recognition Method Based on Multiresolution Model and Fuzzy Random Matrix." Mathematical Problems in Engineering 2022 (June 22, 2022): 1–10. http://dx.doi.org/10.1155/2022/2393014.

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Three-dimensional face recognition is one of the hotspots of biometric recognition and has a wide range of applications in the fields of information security, video surveillance, video tracking, and so on. The core part of 3D face recognition is to establish the corresponding 3D face model, and the key of building the model is how to obtain the shape model and accurate texture mapping. The problem has not been well solved in the field of face reconstruction. Based on the background, this paper makes an in-depth study and proposes a three-dimensional face recognition method based on multiresolution model and fuzzy random matrix. The face model reconstruction method of image and model can accurately obtain the contour change of face and the representation of specific features through multiresolution model, reduce the inaccurate description of error and noise in samples through fuzzy random matrix, and enhance the effectiveness of image information of classification and recognition. The experimental outcomes exhibit that the 3D face focus approach based totally on multiresolution mannequin and fuzzy random matrix efficiently improves the evaluation effectivity of the model, improves the great of mannequin matching, improves the function extraction in the cognizance process, and improves the attention rate.
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Pham, Quoc Thai, and Ba Chien Thai. "HDR Image Tone Mapping Approach Using Multiresolution and Piecewise Linear Perceptual Quantization." Advances in Science, Technology and Engineering Systems Journal 5, no. 2 (2020): 606–13. http://dx.doi.org/10.25046/aj050276.

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Loveland, Thomas R. "Toward a national fuels mapping strategy: Lessons from selected mapping programs." International Journal of Wildland Fire 10, no. 4 (2001): 289. http://dx.doi.org/10.1071/wf01030.

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This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 The establishment of a robust national fuels mapping program must be based on pertinent lessons from relevant national mapping programs. Many large-area mapping programs are under way in numerous Federal agencies. Each of these programs follows unique strategies to achieve mapping goals and objectives. Implementation approaches range from highly centralized programs that use tightly integrated standards and dedicated staff, to dispersed programs that permit considerable flexibility. One model facilitates national consistency, while the other allows accommodation of locally relevant conditions and issues. An examination of the programmatic strategies of four national vegetation and land cover mapping initiatives can identify the unique approaches, accomplishments, and lessons of each that should be considered in the design of a national fuel mapping program. The first three programs are the U.S. Geological Survey Gap Analysis Program, the U.S. Geological Survey National Land Cover Characterization Program, and the U.S. Fish and Wildlife Survey National Wetlands Inventory. A fourth program, the interagency Multiresolution Land Characterization Program, offers insights in the use of partnerships to accomplish mapping goals. Collectively, the programs provide lessons, guiding principles, and other basic concepts that can be used to design a successful national fuels mapping initiative.
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GRANELL, CLARA, SERGIO GÓMEZ, and ALEX ARENAS. "UNSUPERVISED CLUSTERING ANALYSIS: A MULTISCALE COMPLEX NETWORKS APPROACH." International Journal of Bifurcation and Chaos 22, no. 07 (July 2012): 1230023. http://dx.doi.org/10.1142/s0218127412300236.

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Unsupervised clustering, also known as natural clustering, stands for the classification of data according to their similarities. Here we study this problem from the perspective of complex networks. Mapping the description of data similarities to graphs, we propose to extend two multiresolution modularity based algorithms to the finding of modules (clusters) in general data sets producing a multiscales' solution. We show the performance of these reported algorithms to the classification of a standard benchmark of data clustering and compare their performance.
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Dissertations / Theses on the topic "Multiresolution mapping"

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Tseng, Youn-Tsong, and 曾永宗. "A Study On Multiresolution Texture Mapping." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/66945152456162650168.

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碩士
國立清華大學
資訊科學系
85
Texture mapping is applied extensively in modern computer graphics applications. Conventionally only high end graphics workstation can provide texture mapping capability, nowadays non-expensive personal computers (PCs) with medium level 3D graphics card can achieve texture mapping in interactive time. However, the alias problem in texture mapped images greatly affect the visual quality, especially in complex scene with textures of small grain size. To cope with this problem, the mipmap algorithm is a common solution. But due to approximate texture parameterization and mpimap level calculation, especially in deep perspective projection, may result in annoying artifacts in texture mapped pictures. In this study, we propose an improved algorithm to eliminate these artifacts and generate correct mipmapped images. 　　The basic idea of our algorithm is to redesign the texture parameterization function, and find the inverse texture area by its bounding quadrilateral. Then the level in mipmap is decided by the pixel area ratio between texture space and screen space. We also suggest a new alternative for pyramid structure. With the acceleration of hardware pixel scaling function, pyramid can extend mipmap resolutions by dynamically generating suitable level of mipmap-textures which generally result in a better texture mapped image. The experiment result of our algorithm shows that our method not only generates correct texture mapped image but also preserves a fine grain quality of the texture image without distortion.
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Tsai, Shu-Ling, and 蔡淑齡. "Wavelet-based Multiresolution Terrain Modeling and Texture Mapping." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/84499862444277187861.

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碩士
國立中央大學
資訊工程研究所
88
In this paper, techniques of multiresolution terrain modeling and texture mapping based on the wavelet mesh (WM) and wavelet image (WI) are proposed. The WM terrain modeling is also combined with a dynamic loading technique for browsing large terrains. At first, we partition a large terrain mesh into blocks. Then we dynamically load parts of those terrain blocks for browsing. Based on the distance to the viewer, the resolution of each terrain block is automatically adjusted. Additionally, several studies on this topic are also proposed, which are: (i) texture-mapping images with multiresolution form, (ii) adopting rounding technique to avoid loss of image data during wavelet transform, and (iii) solving the boundary matching problems for adjacent terrain blocks in dynamic loading. The proposed techniques are suitable for browsing large terrain models on PC platforms.
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(8300103), Shams R. Rahmani. "Digital Soil Mapping of the Purdue Agronomy Center for Research and Education." Thesis, 2020.

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This research work concentrate on developing digital soil maps to support field based plant phenotyping research. We have developed soil organic matter content (OM), cation exchange capacity (CEC), natural soil drainage class, and tile drainage line maps using topographic indices and aerial imagery. Various prediction models (universal kriging, cubist, random forest, C5.0, artificial neural network, and multinomial logistic regression) were used to estimate the soil properties of interest.
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Book chapters on the topic "Multiresolution mapping"

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Tan, Mingzhen, and Anqi Qiu. "Multiresolution Diffeomorphic Mapping for Cortical Surfaces." In Lecture Notes in Computer Science, 315–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19992-4_24.

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Membarth, Richard, Frank Hannig, Hritam Dutta, and Jürgen Teich. "Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors." In Lecture Notes in Computer Science, 277–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03138-0_31.

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Droeschel, David, and Sven Behnke. "MRSLaserMap: Local Multiresolution Grids for Efficient 3D Laser Mapping and Localization." In RoboCup 2016: Robot World Cup XX, 319–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68792-6_26.

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Kaiser, Benjamin, Veronika Breidohr, and Alexander Verl. "Octree-based, multiresolution environment mapping for efficient calculation of collision-free paths for industrial robots." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics, 57–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61755-7_6.

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Dagdelenler, Gulseren, Murat Ercanoglu, and Harun Sonmez. "Semi-automatic Landslide Inventory Mapping with Multiresolution Segmentation Process: A Case Study from Ulus District (Bartin, NW Turkey)." In Understanding and Reducing Landslide Disaster Risk, 87–93. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60227-7_8.

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Zhang, Yun, and Travis Maxwell. "Roof Mapping Using Fused Multiresolution Optical Satellite Images." In Remote Sensing Applications Series. CRC Press, 2007. http://dx.doi.org/10.1201/9781420043754.ch16.

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Conference papers on the topic "Multiresolution mapping"

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Gumhold, Stefan, and Tobias Hüttner. "Multiresolution rendering with displacement mapping." In the ACM SIGGRAPH/EUROGRAPHICS workshop. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/311534.311578.

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Yafenz, Li, and Lin Ying. "Document Image Blur Estimation with Multiresolution Toggle Mapping." In 2019 6th International Conference on Systems and Informatics (ICSAI). IEEE, 2019. http://dx.doi.org/10.1109/icsai48974.2019.9010331.

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Uccheddu, F., A. Pelagotti, and F. Picchioni. "A greedy multiresolution method for quasi automatic texture mapping." In SPIE Optical Metrology, edited by Fabio Remondino and Mark R. Shortis. SPIE, 2011. http://dx.doi.org/10.1117/12.890034.

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Popovic, Marija, Teresa Vidal-Calleja, Gregory Hitz, Inkyu Sa, Roland Siegwart, and Juan Nieto. "Multiresolution mapping and informative path planning for UAV-based terrain monitoring." In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017. http://dx.doi.org/10.1109/iros.2017.8202317.

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Thai, Ba Chien, Anissa Mokraoui, and Basarab Matei. "Performance evaluation of high dynamic range image tone mapping operators based on separable non-linear multiresolution families." In 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, 2016. http://dx.doi.org/10.1109/eusipco.2016.7760577.

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Papadakis, Manos. "Unitary mappings and an equivalence relation between multiresolution analyses of L2(R)." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Andrew F. Laine and Michael A. Unser. SPIE, 1995. http://dx.doi.org/10.1117/12.217599.

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Papadakis, Manos. "Unitary mappings between multiresolution analysis of L2(R) and a parameterization of low-pass filters." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Michael A. Unser, Akram Aldroubi, and Andrew F. Laine. SPIE, 1996. http://dx.doi.org/10.1117/12.255243.

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