IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Presence: Teleoperators and Virtual Environments
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Nonmetric Lens Distortion Calibration: Closed-form Solutions, Robust Estimation and Model Selection
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Springer Tracts in Advanced Robotics)
Human Factors Issues in Virtual Environments: A Review of the Literature
Presence: Teleoperators and Virtual Environments
Fast Ego-motion Estimation with Multi-rate Fusion of Inertial and Vision
International Journal of Robotics Research
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Philosophies and technologies for ambient aware devices in wearable computing grids
Computer Communications
Augmented reality for archaeological finds
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
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This paper describes the design of an optical see-through head-mounted display (HMD) system for Augmented Reality (AR). Our goals were to make virtual objects "perfectly" indistinguishable from real objects, wherever the user roams, and to find out to which extent imperfections are hindering applications in art and design. For AR, fast and accurate measuring of head motions is crucial. We made a head-pose tracker for the HMD that uses error-state Kalman filters to fuse data from an inertia tracker with data from a camera that tracks visual markers. This makes on-line head-pose based rendering of dynamic virtual content possible.We measured our system, and found that with an A4-sized marker viewed from 20° at 5 m distance with an SXGA camera (FOV 108°), the RMS error in the tracker angle was