Object Calibration for Augmented Reality

Whitaker, Ross T.; Crampton, Chris; Breen, David E.; Tüceryan, Mihran; Rose, E.

doi:10.1111/1467-8659.1430015

Cited by 8 publications

(8 citation statements)

References 14 publications

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“…A typical approach involves calibrating and validating optical-seethrough systems [3,4]. Bimber uses occlusion shadows to augment a dinosaur skull with virtual muscles and bones [5].…”

Section: Figure 1: Fender With Augmented Construction Datamentioning

confidence: 99%

Augmented reality as a comparison tool in automotive industry

Nölle

Klinker²

2006

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality

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Augmented reality (AR) can be used in the automotive industry to compare real parts of a car with their associated construction data. The real parts have to be checked whether they correspond to the latest version of the design and whether they have been manufactured with appropriate precision. With AR, CAD construction data can be superimposed on the real parts striving for maximum correspondence. The real and the virtual part should both be visible at the same time and in the same place. Therefore, for this kind of overlay, a special method of augmentation is needed. We present and discuss some visualization schemes.

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“…A typical approach involves calibrating and validating optical-seethrough systems [3,4]. Bimber uses occlusion shadows to augment a dinosaur skull with virtual muscles and bones [5].…”

Section: Figure 1: Fender With Augmented Construction Datamentioning

confidence: 99%

Augmented reality as a comparison tool in automotive industry

Nölle

Klinker²

2006

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality

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“…The problem of registering the users head position with the position of the virtual camera and the virtual objects with the real environment has already been covered extensively [AZ94,ST96a,TA96,WH95]. Here -like in the previously cited approach to occlusion by [BE97] -a 2D image-based approach presented by Kutulakos [KU98] seems to be an adequate solution for video-based systems.…”

Section: Registration Problemsmentioning

confidence: 99%

Occlusion in collaborative augmented environments

Fuhrmann

Hesina

Fauré

et al. 1999

Computers & Graphics

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Augmented environments superimpose computer enhancements on the real world. Such augmented environments are well suited for collaboration of multiple users. To improve the quality and consistency of the augmentation the occlusion of real objects by computergenerated objects and vice versa has to be implemented. We present methods how this can be done for a tracked user's body and other real objects and how irritating artifacts due to misalignments can be reduced. Our method is based on simulating the occlusion of virtual objects by a representation of the user modeled as kinematic chains of articulated solids. Registration and modeling errors of this model are being reduced by smoothing the border between virtual world and occluding real object. An implementation in our augmented environment and the resulting improvements are presented.

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“…Fournier [11] has posed the problems associated with common illumination when combining synthetic images with images of real scenes. While many of the papers here describe applications of AR, our work to date at ECRC has strongly focused on developing general and robust calibration methods for AR applications [2,18,21].…”

Section: Related Workmentioning

confidence: 99%

“…Object calibration is used to estimate the pose (object-to-world transformation) of an arbitrary object [21]. We currently have two methods for computing an orientation to match a virtual object to a real one (see Figure 6.1).…”

Section: Object Calibrationmentioning

confidence: 99%

“…Currently we use a video monitor to represent the user's view, but eventually the same techniques could be used to display graphics using a see-through head-mounted display showing graphics superimposed on real-world objects. We then take a computer representation of the object and match it spatially to the real one [21]. Once this registration is established, we introduce tracking technology to maintain correspondence as the object or camera moves.…”

Section: Introductionmentioning

confidence: 99%

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