A new system for online quantitative evaluation of optical see-through augmentation

McGarrity, E. S.; Genç, Yakup; Tüceryan, Mihran; Owen, Charles B.; Navab, Nassir

doi:10.1109/isar.2001.970525

Cited by 25 publications

(11 citation statements)

References 24 publications

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“…Studies from Mcgarrity and Tang [22,26] provide interaction methods for users to directly indicate the perceived registration of on-screen items using a stylus and tablet. Navab et al [23] extend the functionality by allowing users to correct registration on-line.…”

Section: Subjective Measures In Ost Hmd Calibrationmentioning

confidence: 99%

“…VST techniques are difficult or impossible to use for correction in OST displays since the "camera" in these systems is the user's eye itself. Calibrating misalignment between the human eye and augmented geometry, in this case, is not a trivial task [22,26]. Various calibration methods have been developed, which attempt to correct misalignment by employing user feedback, in the form of visual alignments made between on-screen markers and real world locations.…”

Section: Introductionmentioning

confidence: 99%

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Subjective Evaluation of a Semi-Automatic Optical See-Through Head-Mounted Display Calibration Technique

Moser

Itoh

Oshima³

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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With the growing availability of optical see-through (OST) head-mounted displays (HMDs) there is a present need for robust, uncomplicated, and automatic calibration methods suited for non-expert users. This work presents the results of a user study which both objectively and subjectively examines registration accuracy produced by three OST HMD calibration methods: (1) SPAAM, (2) Degraded SPAAM, and (3) Recycled INDICA, a recently developed semi-automatic calibration method. Accuracy metrics used for evaluation include subject provided quality values and error between perceived and absolute registration coordinates. Our results show all three calibration methods produce very accurate registration in the horizontal direction but caused subjects to perceive the distance of virtual objects to be closer than intended. Surprisingly, the semi-automatic calibration method produced more accurate registration vertically and in perceived object distance overall. User assessed quality values were also the highest for Recycled INDICA, particularly when objects were shown at distance. The results of this study confirm that Recycled INDICA is capable of producing equal or superior on-screen registration compared to common OST HMD calibration methods. We also identify a potential hazard in using reprojection error as a quantitative analysis technique to predict registration accuracy. We conclude with discussing the further need for examining INDICA calibration in binocular HMD systems, and the present possibility for creation of a closed-loop continuous calibration method for OST Augmented Reality.

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Section: Subjective Measures In Ost Hmd Calibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Subjective Evaluation of a Semi-Automatic Optical See-Through Head-Mounted Display Calibration Technique

Moser

Itoh

Oshima³

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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“…However, Optical SeeThrough Head-Mounted-Displays (OSTHMD) share many similarities with HUDs, as they also use a semi-transparent reflector as combiner to create a virtual image in front of the eye. There exist many approaches for the estimation of the projective properties [36,17,27,26,28,16,19]. Most of these methods rely on user interaction, where several virtual points on the display have to be aligned with real markers in the scene [36,17,27,26].…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

“…There exist many approaches for the estimation of the projective properties [36,17,27,26,28,16,19]. Most of these methods rely on user interaction, where several virtual points on the display have to be aligned with real markers in the scene [36,17,27,26]. Gao et al [16] and Gilson et al [19] create a setup which essentially replaces the human eye with a camera, so they obtain better means for the quantitative evaluation of the calibration accuracy.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

A camera-based calibration for automotive augmented reality Head-Up-Displays

Wientapper

Wuest

Rojtberg

et al. 2013

2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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Using Head-up-Displays (HUD) for Augmented Reality requires to have an accurate internal model of the image generation process, so that 3D content can be visualized perspectively correct from the viewpoint of the user. We present a generic and cost-effective camera-based calibration for an automotive HUD which uses the windshield as a combiner. Our proposed calibration model encompasses the view-independent spatial geometry, i.e. the exact location, orientation and scaling of the virtual plane, and a view-dependent image warping transformation for correcting the distortions caused by the optics and the irregularly curved windshield. View-dependency is achieved by extending the classical polynomial distortion model for cameras and projectors to a generic five-variate mapping with the head position of the viewer as additional input. The calibration involves the capturing of an image sequence from varying viewpoints, while displaying a known target pattern on the HUD. The accurate registration of the camera path is retrieved with state-of-the-art vision-based tracking. As all necessary data is acquired directly from the images, no external tracking equipment needs to be installed. After calibration, the HUD can be used together with a head-tracker to form a head-coupled display which ensures a perspectively correct rendering of any 3D object in vehicle coordinates from a large range of possible viewpoints. We evaluate the accuracy of our model quantitatively and qualitatively

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“…Another approach is to estimate the registration error through error propagation [16]. Finally, the online system described by McGarrity et al [18] measures the registration accuracy while the users are using the AR system. User's actual perception and interaction with the real world is measured by asking the user to indicate the projection of a set of perceived objects on a measurement device.…”

Section: Introductionmentioning

confidence: 99%

Practical solutions for calibration of optical see-through devices

Genç¹,

Tüceryan²,

Navab³

Proceedings. International Symposium on Mixed and Augmented Reality

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A new system for online quantitative evaluation of optical see-through augmentation

Abstract: A crucial aspect in the implementation of an augmented reality (AR) system is determining its

Cited by 25 publications

References 24 publications

Subjective Evaluation of a Semi-Automatic Optical See-Through Head-Mounted Display Calibration Technique

Subjective Evaluation of a Semi-Automatic Optical See-Through Head-Mounted Display Calibration Technique

A camera-based calibration for automotive augmented reality Head-Up-Displays

Practical solutions for calibration of optical see-through devices

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