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相关论文: Shapefinders: A new shape diagnostic for large sca…

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We focus on the analysis of planar shapes and solid objects having thin features and propose a new mathematical model to characterize them. Based on our model, that we call an epsilon-shape, we show how thin parts can be effectively and…

计算几何 · 计算机科学 2018-01-09 Daniela Cabiddu , Marco Attene

The study of shapes of the images of objects is an important issue not only because it reveals its dynamical state but also it helps to understand the object's evolutionary history. We discuss a new technique in cosmological image analysis…

天体物理学 · 物理学 2016-01-27 Nurur Rahman , Sergei F. Shandarin

Model fitting is frequently used to determine the shape of galaxies and the point spread function, for examples, in weak lensing analyses or morphology studies aiming at probing the evolution of galaxies. However, the number of parameters…

宇宙学与河外天体物理 · 物理学 2012-10-03 Guoliang Li , Bo Xin , Wei Cui

Personal fabrication is made more accessible through repositories like Thingiverse, as they replace modeling with retrieval. However, they require users to translate spatial requirements to keywords, which paints an incomplete picture of…

人机交互 · 计算机科学 2022-04-01 Evgeny Stemasov , Tobias Wagner , Jan Gugenheimer , Enrico Rukzio

We present a new approach to measure the shapes of galaxies, a fundamental task in observational astronomy. This approach is based on the decomposition of a galaxy image into a series of orthogonal basis functions, or `shapelets'. Our…

天体物理学 · 物理学 2017-08-23 Alexandre Refregier , Tzu-Ching Chang , David Bacon

This paper uses clustering algorithms to introduce a shape framework for deformable objects. Until now, the shape detection of the deformable objects has faced several challenges: 1) unable to form a unified framework for multiple shapes;…

机器人学 · 计算机科学 2023-12-19 Fangqing Chen

We present here a new method, MMF, for automatically segmenting cosmic structure into its basic components: clusters, filaments, and walls. Importantly, the segmentation is scale independent, so all structures are identified without…

The Minkowski functionals are a mathematical tool to quantify morphological features of patterns. Some applications to the matter distribution in galaxy catalogues and N-body simulations are reviewed, with an emphasis on the effects of…

天体物理学 · 物理学 2007-05-23 Alvaro Dominguez

We present a method to simulate deep sky images, including realistic galaxy morphologies and telescope characteristics. To achieve a wide diversity of simulated galaxy morphologies, we first use the shapelets formalism to parametrize the…

天体物理学 · 物理学 2009-11-07 Richard Massey , Alexandre Refregier , Christopher J. Conselice , David J. Bacon

We apply Minkowski functionals and various derived measures to decipher the morphological properties of large-scale structure seen in simulations of gravitational evolution. Minkowski functionals of isodensity contours serve as tools to…

We provide an informal discussion of pattern formation in a finite universe. The global size and shape of the universe is revealed in the pattern of hot and cold spots in the cosmic microwave background. Topological pattern formation can be…

天体物理学 · 物理学 2007-05-23 Janna Levin , Imogen Heard

Precision weak gravitational lensing experiments require measurements of galaxy shapes accurate to <1 part in 1000. We investigate measurement biases, noted by Voigt and Bridle (2009) and Melchior et al. (2009), that are common to shape…

天体物理仪器与方法 · 物理学 2015-05-18 Gary M. Bernstein

The paper aims at proposing the first shape identification and classification algorithm in echolocation. The approach is based on first extracting geometric features from the reflected waves and then matching them with precomputed ones…

数值分析 · 计算机科学 2013-08-27 Habib Ammari , Minh Phuong Tran , Han Wang

Gauss-Hermite and Gauss-Laguerre ("shapelet") decompositions of images have become important tools in galaxy modeling, particularly for the purpose of extracting ellipticity and morphological information from astronomical data. However, the…

天体物理仪器与方法 · 物理学 2010-08-24 James Bosch

Many standard structural quantities, such as order parameters and correlation functions, exist for common condensed matter systems, such as spherical and rod-like particles. However, these structural quantities are often insufficient for…

软凝聚态物质 · 物理学 2012-01-18 Aaron S. Keys , Christopher R. Iacovella , Sharon C. Glotzer

Statistical shape analysis of slabular objects like groups of hippocampi is highly useful for medical researchers as it can be useful for diagnoses and understanding diseases. This work proposes a novel object representation based on…

统计方法学 · 统计学 2024-09-09 Mohsen Taheri , Stephen M. Pizer , Jörn Schulz

We introduce a new self-consistent structure finding algorithm that parses large scale cosmological structure into clusters, filaments and voids. This structure finding algorithm probes the cosmological structure at multiple scales and…

宇宙学与河外天体物理 · 物理学 2016-05-04 Ali Snedden , Lara Arielle Phillips , Grant J. Mathews , Jared Coughlin , In-Saeng Suh , Aparna Bhattacharya

Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality. Structure typically appears in the form of individual parts and their arrangement.…

计算机视觉与模式识别 · 计算机科学 2018-09-06 Vignesh Ganapathi-Subramanian , Olga Diamanti , Soeren Pirk , Chengcheng Tang , Matthias Niessner , Leonidas J. Guibas

We present an optical metrology system for characterization of topography of micro/nano-structures on a surface or embedded in a semi-transparent material. Based on the principles of scatterometry, where the intensity of scattered light is…

仪器与探测器 · 物理学 2016-01-15 Morten Hannibal Madsen , Poul-Erik Hansen

In computer vision and medical imaging, the problem of matching structures finds numerous applications from automatic annotation to data reconstruction. The data however, while corresponding to the same anatomy, are often very different in…

计算机视觉与模式识别 · 计算机科学 2021-03-24 Pierre-Louis Antonsanti , Joan Glaunès , Thomas Benseghir , Vincent Jugnon , Irène Kaltenmark
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