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ECS 277: Advanced Visualization (Spring 2012, UC Davis). Instructor: Professor Bernd Hamann.
FREE
This course includes
Hours of videos
472 years, 2 months
Units & Quizzes
17
Unlimited Lifetime access
Access on mobile app
Certificate of Completion
This course is concerned with methods for the approximation and interpolation of scientific data. The presented methods are of relevance especially for visualization-based data exploration and analysis.
Course Currilcum
- Lecture 01 – Introduction Unlimited
- Lecture 02 – Review of Essential Scalar Field Visualization Methods Unlimited
- Lecture 03 – Ray Casting Based on Higher-degree Polynomial Data Approximation Unlimited
- Lecture 04 – Ray Casting Based on Piecewise Trilinear and Tricubic Approximation Unlimited
- Lecture 05 – Review of Essential Vector/Flow Field Visualization Methods Unlimited
- Lecture 06 – Topological Flow Field Analysis/Visualization and Linear Vector Field Theory Unlimited
- Lecture 07 – Introduction to Scattered Data Approximation Unlimited
- Lecture 08 – Shepard’s and Hardy’s Multiquadric Methods for the Trivariate Case Unlimited
- Lecture 09 – Motivation for Triangulation-based Scattered Data Approximation Unlimited
- Lecture 10 – Curved Elements, Part 1 Unlimited
- Lecture 10 – Curved Elements, Part 2 Unlimited
- Lecture 11 – Data Approximation over Triangle Meshes Unlimited
- Lecture 12 – Cubic Clough-Tocher Split Scheme for Volumetric/Trivariate Case Unlimited
- Lecture 13 – Data Structure Requirements for Voronoi Diagrams Unlimited
- Lecture 14 – Doo-Sabin Subdivision Scheme Unlimited
- Lecture 15 – Sibson Interpolation for 3D/Volumetric Domains Unlimited
- Lecture 16 – Best Linear Spline Approximation in the Univariate Case Unlimited
