Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving static and dynamic registration in an optical see-through HMD
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Review and analysis of solutions of the three point perspective pose estimation problem
International Journal of Computer Vision
Superior augmented reality registration by integrating landmark tracking and magnetic tracking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Fusion of data from head-mounted and fixed sensors
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes
Visual servoing-based augmented reality
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes
Accurate Image Overlay on Video See-Through HMDs Using Vision and Accelerometers
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
MR Platform: A Basic Body on Which Mixed Reality Applications Are Built
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Building a Hybrid Tracking System: Integration of Optical and Magnetic Tracking
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Vision-Based Pose Computation: Robust and Accurate Augmented Reality Tracking
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
A Hybrid Registration Method for Outdoor Augmented Reality
ISAR '01 Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR'01)
Sensor Fusion and Occlusion Refinement for Tablet-Based AR
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Automated Initialization for Marker-Less Tracking: A Sensor Fusion Approach
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
A Marker Calibration Method Utilizing A Priori Knowledge on Marker Arrangement
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Outdoor See-Through Vision Utilizing Surveillance Cameras
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
A Head Tracking Method Using Bird's-Eye View Camera and Gyroscope
ISMAR '04 Proceedings of the 3rd 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
CamBall: augmented networked table tennis played with real rackets
Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology
A vision-based AR registration method utilizing edges and vertices of 3D model
Proceedings of the 2005 international conference on Augmented tele-existence
Overlay what Humanoid Robot Perceives and Thinks to the Real-world by Mixed Reality System
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Multiple planes based registration using 3D Projective Space for Augmented Reality
Image and Vision Computing
Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Vision-Based registration for augmented reality with integration of arbitrary multiple planes
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
| Hi-index | 0.00 |
This paper describes new vision-based registrationmethods utilizing not only cameras on a user'shead-mounted display but also a bird's-eye view camerathat observes the user from an objective viewpoint. Twonew methods, the Line Constraint Method (LCM) andGlobal Error Minimization Method (GEM), are proposed.The former method reduces the number of unknownparameters concerning the user's viewpoint by restrictingit to be on the line of sight from the bird's-eye view. Theother method minimizes the sum of errors, which is the sumof the distance between the fiducials on the view and thecalculated positions of them based on the current viewingparameters, for both the user's view and the bird's-eye view.The methods proposed here reduce the number of pointsthat should be observed from the user's viewpoint forregistration, thus improving the stability. In addition totheoretical discussions, this paper demonstrates theeffectiveness of our methods by experiments in comparisonwith methods that use only a user's view camera or abird's-eye view camera.