Computer graphics visualization for acoustic simulation
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Kalman filtering: theory and practice
Kalman filtering: theory and practice
Virtual reality technology
Presence: Teleoperators and Virtual Environments
SCAAT: incremental tracking with incomplete information
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Volumetric modeling of acoustic fields in CNMAT's sound spatialization theatre
Proceedings of the conference on Visualization '98
The HiBall Tracker: high-performance wide-area tracking for virtual and augmented environments
Proceedings of the ACM symposium on Virtual reality software and technology
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
The Science of Virtual Reality and Virtual Environments
The Science of Virtual Reality and Virtual Environments
Motion Tracking: No Silver Bullet, but a Respectable Arsenal
IEEE Computer Graphics and Applications
Noise Model and Performance Analysis Of Outward-looking Optical Trackers Using Lateral Effect Photo Diodes
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Position trackers for Head Mounted Display systems: A survey
Position trackers for Head Mounted Display systems: A survey
Design of many-camera tracking systems for scalability and efficient resource allocation
Design of many-camera tracking systems for scalability and efficient resource allocation
Predicting Accuracy in Pose Estimation for Marker-based Tracking
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
FlightTracker: A Novel Optical/Inertial Tracker for Cockpit Enhanced Vision
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Predicting and estimating the accuracy of n-occular optical tracking systems
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Camera setup optimization for optical tracking in virtual environments
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
Usability benchmarks for motion tracking systems
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
Online control of active camera networks for computer vision tasks
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 0.00 |
We introduce a general method for evaluating and comparing the expected performance of sensing systems for interactive computer graphics. Example applications include head tracking systems for virtual environments, motion capture systems for movies, and even multi-camera 3D vision systems for image-based visual hulls.Our approach is to estimate the asymptotic position and/or orientation uncertainty at many points throughout the desired working volume, and to visualize the results graphically. This global performance estimation can provide both a quantitative assessment of the expected performance, and intuition about the type and arrangement of sources and sensors, in the context of the desired working volume and expected scene dynamics.