Augmented Reality: A Balancing Act Between High Quality and Real-Time Constraints

Klinker, Gudrun; Strieker, Didier; Reiners, Dirk

doi:10.1007/978-3-642-87512-0_18

Cited by 25 publications

(11 citation statements)

References 3 publications

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“…First OST-HMD calibration algorithms required users to submit themselves to very complex, pre-arranged physical processes and settings. They were, for instance, requested to physically align their own view with a given world-based reference frame using a bore sight approach [3] or to position their heads on a head rest [4,15].…”

Section: Display Calibrationmentioning

confidence: 99%

Interaction-free calibration for optical see-through head-mounted displays based on 3D Eye localization

Itoh¹,

Klinker

2014

2014 IEEE Symposium on 3D User Interfaces (3DUI)

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It is a common problem of AR applications that optical see-through head-mounted displays (OST-HMD) move on users' heads or are even temporarily taken off, thus requiring frequent (re)calibrations. If such calibrations involve user interactions, they are time consum ing and distract users from their applications. Furthermore, they in ject user-dependent errors into the system setup and reduce users' acceptance of OST-HMDs.To overcome these problems, we present a method that utilizes dynamic 3D eye position measurements from an eye tracker in combination with pre-computed, static display calibration parame ters. Our experiments provide a comparison of our calibration with SPAAM (Single Point Active Alignment Method) for several head display conditions: in the first condition, repeated calibrations are conducted while keeping the display position on the user's head fixed. In the second condition, users take the HMD off and put it back on in between calibrations. The result shows that our new calibration with eye tracking is more stable than repeated SPAAM calibrations. We close with a discussion on potential error sources which should be removed to achieve higher calibration quality.

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Section: Display Calibrationmentioning

confidence: 99%

Interaction-free calibration for optical see-through head-mounted displays based on 3D Eye localization

Itoh¹,

Klinker

2014

2014 IEEE Symposium on 3D User Interfaces (3DUI)

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“…A registration method was proposed by State et al, 1996, using stereo images and a magnetic tracker. Vision techniques, multiple fiducial markers and square markers were used respectively for identifying 2-D matrix, markers robust tracking and fast tracking (Neumann et al, 1999;Rekimoto, 1998;Klinker et al, 1999). In our research, markers with distinct and simple geometrical patterns are used to attach on objects for recognizing and tracking, as they are easy to detect and recognize, thus achieving both robust and fast tracking.…”

Section: Related Workmentioning

confidence: 96%

Work area monitoring in dynamic environments using multiple auto-aligning 3-D sensors

Wang

Ewert

Meisen

et al. 2014

J. Sens. Sens. Syst.

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Abstract. Compared to current industry standards future production systems will be more flexible and robust and will adapt to unforeseen states and events. Industrial robots will interact with each other as well as with human coworkers. To be able to act in such a dynamic environment, each acting entity ideally needs complete knowledge of its surroundings, concerning working materials as well as other working entities. Therefore new monitoring methods providing complete coverage for complex and changing working areas are needed. While single 3-D sensors already provide detailed information within their field of view, complete coverage of a complete work area can only be achieved by relying on a multitude of these sensors.However, to provide useful information all data of each sensor must be aligned to each other and fused into an overall world picture. To be able to align the data correctly, the position and orientation of each sensor must be known with sufficient exactness. In a quickly changing dynamic environment, the positions of sensors are not fixed, but must be adjusted to maintain optimal coverage. Therefore, the sensors need to autonomously align themselves in real time. This can be achieved by adding defined markers with given geometrical patterns to the environment which can be used for calibration and localization of each sensor. As soon as two sensors detect the same markers, their relative position to each other can be calculated. Additional anchor markers at fixed positions serve as global reference points for the base coordinate system.In this paper we present a prototype for a self-aligning monitoring system based on a robot operating system (ROS) and Microsoft Kinect. This system is capable of autonomous real-time calibration relative to and with respect to a global coordinate system as well as to detect and track defined objects within the working area.

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“…Rekimoto used vision techniques to identify 2D matrix markers [14]. Klinker used square markers for fast tracking [15]. Our approach is similar to this method.…”

Section: Video-based Registration Techniquesmentioning

confidence: 99%

Marker tracking and HMD calibration for a video-based augmented reality conferencing system

Kato

Billinghurst

Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99)

1,538

931

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Augmented Reality: A Balancing Act Between High Quality and Real-Time Constraints

Cited by 25 publications

References 3 publications

Interaction-free calibration for optical see-through head-mounted displays based on 3D Eye localization

Interaction-free calibration for optical see-through head-mounted displays based on 3D Eye localization

Work area monitoring in dynamic environments using multiple auto-aligning 3-D sensors

Marker tracking and HMD calibration for a video-based augmented reality conferencing system

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