'Normal vector' presentation slideshows

CAMERA GEOMETRY

CAMERA GEOMETRY. Ajit Rajwade , CS 763, Winter 2014, IITB, CSE department. Contents. Transformations of points/vectors in 2D Transformations of points/vectors in 3D Image Formation: geometry of projection of 3D points onto 2D image plane Vanishing Points Camera Calibration.

1.06k views • 84 slides

Warmup

980 views • 61 slides

Rendering and Rasterization

Rendering and Rasterization. Lars M. Bishop (lars@essentialmath.com). Rendering Overview . Owing to time pressures, we will only cover the basic concepts of rendering Designed to be a high-level overview to help you understand other references

1.03k views • 54 slides

Lighting for Games

Lighting for Games. Kenneth L. Hurley. Agenda. Introduction to Lighting What is Radiosity? Lightmaps Per Pixel Lighting High Dynamic Range Images Low Dynamic Range Image BRDFS. Introduction to Lighting. Ambient Lighting I = Ia x Ka. Introduction to Lighting. Diffuse Lighting

740 views • 48 slides

FUNDAMENTALS of ENGINEERING SEISMOLOGY

FUNDAMENTALS of ENGINEERING SEISMOLOGY. EARTHQUAKE FOCAL MECHANISMS (FAULT PLANE SOLUTIONS). - Focal mechanisms: body wave radiation pattern - Focal mechanisms: stereographic fault plane representations. Credits: -Some slides provided by Dino Bindi (INGV) and A. Kelly (USGS)

804 views • 45 slides

MA242.003

553 views • 43 slides

2D/3D Shape Manipulation, 3D Printing

620 views • 41 slides

Geometry Shaders

526 views • 35 slides

934 views • 32 slides

11.4 Tangent Vectors and Normal Vectors

11.4 Tangent Vectors and Normal Vectors. Find a unit tangent vector at a point on a space curve Find the tangential and normal components of acceleration. Normal vector of acceleration is called the centripetal component of acceleration and is greater than or equal to 0. .

654 views • 31 slides

Support vector machine

Support vector machine. Nonparametric Supervised Learning. Outline. Context of the Support Vector Machine Intuition Functional and Geometric Margins Optimal Margin Classifier Linearly Separable Not Linearly Separable Kernel Trick Aside: Lagrange Duality Summary.

583 views • 30 slides

Optimizing Content-Preserving Projections for Wide-Angle Images

Optimizing Content-Preserving Projections for Wide-Angle Images. ACM SIGGRAPH 2009 Robert Carroll (University of California, Berkeley) Maneesh Agrawal (University of California, Berkeley) Aseem Agarwala (Adobe Systems, Inc.). Outline. Introduction

476 views • 27 slides

893 views • 27 slides

Shading

Shading. Contents from: Interactive Computer Graphics: A top-Down Approach Using OpenGL Chapter 6 Edit by Ching-Shoei Chiang. Shading. Surface can either (both) Emit light. E.g. light bult Reflect light. E.g. Mirror. Shading. Rendering equation Cannot solved in general

433 views • 20 slides

Stochastic Subgradient Approach for Solving Linear Support Vector Machines

Stochastic Subgradient Approach for Solving Linear Support Vector Machines. Jan Rupnik Jozef Stefan Institute. Outline. Introduction Support Vector Machines Stochastic Subgradient Descent SVM - Pegasos Experiments. Introduction.

350 views • 20 slides

Shading models

Nick Anastas. Shading models. Virtual Objects Phong Reflection Model Basic Shading Models Advanced Shading Models. Outline. Made of planar polygons Any given planar polygon can be broken down into triangles A triangles is fully defined by providing vertex coordinates and drawing order.

394 views • 18 slides

Anamorphism

359 views • 18 slides

Planetary Constants Kernel PCK

Planetary Constants Kernel PCK. July 2013. Topics. Overview Text PCKs PCK reference frames Binary PCKs Using PCKs Interface Routines PCK Precedence Rules PCK Utility Programs. Overview. The Planetary Constants Kernel (PCK) subsystem comprises both text and binary kernels

361 views • 17 slides

Analytic, Geometric and Numeric Analysis of the Shrinking Circle and Sphere Problems

Analytic, Geometric and Numeric Analysis of the Shrinking Circle and Sphere Problems. Wei-Chi Yang Department of Math & Stat Radford University wyang@radford.edu. Douglas B. Meade Department of Mathematics University of South Carolina meade@math.sc.edu.

313 views • 17 slides

LAGRANGE mULTIPLIERS

By Rohit Venkat. LAGRANGE mULTIPLIERS. Lagrange Multipliers: A General Definition. Mathematical tool for constrained optimization of differentiable functions Provides a strategy for finding the maximum/minimum of a function subject to constraints. Key Terms.

4.43k views • 15 slides