'Computational geometry' diaporamas de présentation

Geometric Algorithms in Biometrics: Theory and Recent Developments

Geometric Algorithms in Biometrics: Theory and Recent Developments. Prof. Marina L. Gavrilova. BT Laboratory Dept of Computer Science, University of Calgary, Calgary, AB, Canada, T2N1N4. Presentation Overview. Geometric Algorithms Preliminaries Methodology Voronoi diagrams - definition

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Applications of types of SATs

Applications of types of SATs. Arash Ahadi 2013. What is SAT ?. What is SAT ?. What is SAT ?. What is SAT Problem?. What is SAT Problem?. SAT is NP -complete. Why 3-SAT is useful?. An example (in Computational Geometry). An important open problem. Sketch of Proof.

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Traditional Manufacturing Processes

Traditional Manufacturing Processes. Casting. Forming. Sheet metal processing. Powder- and Ceramics Processing. Plastics processing. Cutting. Joining. Surface treatment. Cutting. Processes that involve removal of material from solid workpiece. Sawing Shaping (or planing),

1.12k views • 62 slides

Discrepancy and SDPs

Discrepancy and SDPs. Nikhil Bansal (TU Eindhoven, Netherlands ). August 24, ISMP 2012, Berlin. Outline. Discrepancy Theory What is it Applications Basic Results (non-constructive) SDP connection Algorithms Lower Bounds . Discrepancy Theory: What is it?.

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3D Computer Graphics

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Spring 2012 BioE 2630 (Pitt) : 16-725 (CMU RI) 18-791 (CMU ECE) : 42-735 (CMU BME)

Lecture 12 Level Sets & Parametric Transforms sec. 8.5.2 & ch. 11 of Machine Vision by Wesley E. Snyder & Hairong Qi. Spring 2012 BioE 2630 (Pitt) : 16-725 (CMU RI) 18-791 (CMU ECE) : 42-735 (CMU BME) Dr. John Galeotti. A Quick Review.

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Spring 2014 BioE 2630 (Pitt) : 16-725 (CMU RI) 18-791 (CMU ECE) : 42-735 (CMU BME)

Lecture 12 Level Sets & Parametric Transforms sec. 8.5.2 & ch. 11 of Machine Vision by Wesley E. Snyder & Hairong Qi. Spring 2014 BioE 2630 (Pitt) : 16-725 (CMU RI) 18-791 (CMU ECE) : 42-735 (CMU BME) Dr. John Galeotti. A Quick Review.

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Cluster Description and Related Problems

Cluster Description and Related Problems. DDM Lab Seminar 2005 Spring Byron Gao. Road Map. Motivations Cluster Description Problems Related Problems in Machine Learning Related Problems in Theory Related Problems in Computational Geometry Conclusions and Past / Future Work.

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Homology Groups And Persistence Homology

Homology Groups And Persistence Homology. Outline. Introduction Simplicial Complex Boundary Operator Homology Triangulation Persistent Homology. Introduction. Why we need homology ?. Connected Components =2 Holes=20. Connected Components =1 Tunnels=1059, Cavities=0. Simplices.

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CS Research and Graduate schools

CS Research and Graduate schools. Sam Kamin, CS Department. Attending graduate school in CS. One of your options after graduating with your BS in CS is to go on to graduate school. You can get either a Master of Science degree (MS), or a Doctor of Philosophy degree (PhD), or both.

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Divide and Conquer

Divide and Conquer. Andreas Klappenecker [based on slides by Prof. Welch]. Divide and Conquer Paradigm. An important general technique for designing algorithms: divide problem into subproblems recursively solve subproblems combine solutions to subproblems to get solution to original problem

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Computational Geometry

Computational Geometry. Ken George COT 4810 4/19/2008. Computational Geometry. Primary purpose was to further computer graphics, computer-aided design, and computer-aided manufacturing Used in several classical problems, as well

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3D Photography Project

3D Photography Project. An Overview of 3D Photography and The Computational Aspect of Triangle Mesh By Muhammed Santa for 3D photography class, Prof. Ioannis Stamos, CUNY,Fall2003. Project Overview. In this project, although I concentrated on the computational geometry that involves

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Computer Science Day 2008

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Center and Diameter Problems in Plane Triangulations and Quadrangulations

Center and Diameter Problems in Plane Triangulations and Quadrangulations. Victor D. Chepoi Universite Aix-Marseille II, France Feodor F. Dragan Kent State University, Ohio Yann Vaxes Universite Aix-Marseille II, France. `. The Center and Diameter Problems.

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BY SELVAMUTHUKUMAR .T(11308205085) selvak26@gmail.com KAUSHIK .G(11308205037) kaushikgovindh@gmail.com INFORMATION TECH

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Open Problem #12 Dynamic Planar Convex Hull

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CMPS 3120: Computational Geometry Spring 2013

CMPS 3120: Computational Geometry Spring 2013. Motion Planning Carola Wenk. Robot motion planning. Given: A floor plan (2d polygonal region with obstacles), and a robot (2D simple polygon) Task: Find a collision-free path from start to end. Robot R is a simple polygon; R = R (0,0)

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Introduction

Introduction. What is an Algorithm?. An algorithm is: a sequence of elementary computational steps that transforms the input into the output . An algorithm is: a tool for solving a well-specified computational problem , eg. Sorting, Multiplication.

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