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CS6360 – Virtual Reality Instructor: David Johnson

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Presentation on theme: "CS6360 – Virtual Reality Instructor: David Johnson"— Presentation transcript:

1 CS6360 – Virtual Reality Instructor: David Johnson dejohnso@cs.utah.edu

2 Computing Paradigms What is the overall computing theme for –Windows GUI –Unix –Google docs VR?

3 Virtual Reality Goal Take human senses –Sight –Sound –Touch –Taste –Smell –Proprioception Replace them with computer generated data Create sense of immersion Lawnmower ManLawnmower Man start at 2:38

4 Virtual Reality Research Improving the quality of computer generated worlds through better –Tracking Accuracy Latency –Real-time computer graphics –Displays (HMD, tiled wall, etc) –Sound rendering –Collision and response –Force feedback Finding new ways for people to interact with these worlds –Interfaces for 3D (GUIs) –Devices

5 Course Topics Virtual Reality –Using VR equipment –Mathematical background –Software background –Simulation –Graphics –Historical development –Human factors

6 My Interests Geometric algorithms and their applications Dissertation on force-feedback interfaces –Leads to a larger interest in VR Recent problem areas are symbolic solvers, path planning, and algorithms for biology.

7 Haptics Research Geometric Design and Computation (GDC) Group Geometric Foundations Haptic rendering of spline models Manipulation of trimmed CAD models Spline model-model haptics Six DOF haptics for polygonal models Haptics Applications Virtual Prototyping Mechanical Part Accessibility Haptic Paint

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10 Molecular Activities Geometric Design and Computation (GDC) Group Tangible Models Articulated protein backbone model DNA with magnetic bonds Computer Simulation Haptics –Use force-feedback to feel accessibility Computer Path Planning –Efficient search in high-dimensional spaces –Local methods with critical point analysis

11 Symbolic Constraint Solvers Geometric Design and Computation (GDC) Group Spline-based Polygonal-Based Hierarchical Normal Cones SilhouettesShadows Local minimum distances Error-bounded Constraint Space Sampling Future: Develop approaches for high-dimensional spaces with applications in path-planning and molecular simulation Robust tracking of closest points using a higher-dimensional symbolic formulation Intersection curve evolution for deformable models Offset surfaces Bisector surfaces Max clearance paths

12 Path Planning with Constraints

13 Reverse Engineering Geometric Design and Computation (GDC) Group Improved Data Acquisition MERGE - a VR environment for reverse engineering Agent-based text extraction (with T. Henderson) 3D Data Legacy Drawing Virtual 3D Artifact Laser range data smoothing, hole filling, and surface fitting Combine drawings, laser data, features, and derived models to reverse engineer parts and assemblies Vision–based part fixturing for CMM probing

14 Office 2875 WEB ph# 585-1726 bridge Me This class (down one level) WEB

15 Lab 2172 MEB - will need to get card access MEB 2 nd Floor 2172

16 What is in the lab Trackers –Polhemus –Ultrasound Haptic devices Projectors HMD (when needed)

17 Syllabus Check class web page for updates –www.cs.utah.edu/classes/cs6360www.cs.utah.edu/classes/cs6360 –Lecture slides in www.cs.utah.edu/classes/cs6360/Lectures

18 Introduce yourself Name Background (where from, department, etc) What are your interests? What has been your exposure to VR?


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