'Geodesic distance' presentation slideshows

Algorithms for Noise Removal and the Bilateral Filter

Algorithms for Noise Removal and the Bilateral Filter. Michael Elad Scientific Computing and Computational Mathematics (SCCM) Program Stanford University May 6 th , 2002. 1.1 General.

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Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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Dimensionality Reduction Part 2: Nonlinear Methods

Dimensionality Reduction Part 2: Nonlinear Methods. Comp 790-090 Spring 2007. Why Dimensionality Reduction. Two approaches to reduce number of features Feature selection: select the salient features by some criteria

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Correlations of the stress energy tensor in AdS spaces via the zeta-function method

Correlations of the stress energy tensor in AdS spaces via the zeta-function method. Hing Tong Cho Tamkang University. (Work done in collaboration with Bei-Lok Hu). NTNU June 2010. Outline. Introduction Zeta-function method for correlations

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Lecture 7 Communities

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Lecture 8 Communities

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Ziyong Feng, Shaojie Xu, Xin Zhang , Lianwen Jin, Zhichao Ye, and Weixin Yang

Real-time Fingertip Tracking and Detection using Kinect Depth Sensor for a New Writing-in-the Air System. Ziyong Feng, Shaojie Xu, Xin Zhang , Lianwen Jin, Zhichao Ye, and Weixin Yang. Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012.

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A Part-aware Surface Metric for Shape Analysis

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Computer examples

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Detail-Preserving Mesh Unfolding for Nonrigid Shape Retrieval

Detail-Preserving Mesh Unfolding for Nonrigid Shape Retrieval. Yusuf Sahillio?lu and Ladislav Kavan SIGGRAPH 2016. Problem Definition. Goal: Bring a 3D shape into a canonical pose that is invariant to nonrigid transformations.

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Isomap Algorithm isomap.stanford/ Yuri Barseghyan Yasser Essiarab

Isomap Algorithm http://isomap.stanford.edu/ Yuri Barseghyan Yasser Essiarab. Linear Methods for Dimensionality Reduction PCA (Principal Component Analysis): rotate data so that principal axes lie in direction of maximum variance

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Visual representations of networks

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Topology Matching For Fully Automatic Similarity Matching of 3D Shapes

Topology Matching For Fully Automatic Similarity Matching of 3D Shapes. Masaki Hilaga Yoshihisa Shinagawa Taku Kohmura Tosiyasu L. Kunii. Shape Matching Problem. Similarity between 3D objects Metric near-invariants Rigid transformations Surface simplification Noise Fast. Technique (1).

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Detecting Spammers with SNARE: Spatio -temporal Network-level Automatic Reputation Engine

Detecting Spammers with SNARE: Spatio -temporal Network-level Automatic Reputation Engine. Shuang Hao , Nadeem Ahmed Syed, Nick Feamster , Alexander G. Gray, Sven Krasser. Klevis Luli. SNARE Overview.

218 views • 12 slides

05 Geodesics on Meshes

05 Geodesics on Meshes. jjcao. Based on the idea of Professor Ligang Liu. Demo. Requirements. Use libQGLViewer as the GUI Load a mesh (*.off) by CGAL Use CGAL :: Polyhedron_3 as the data structure for the mesh Display the mesh Select & unselect one vertex of the mesh

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