A semi-automatic realtime calibration technique for a handheld projector

Dao, Vinh Ninh; Hosoi, Kazuhiro; Sugimoto, Masanori

doi:10.1145/1315184.1315189

Cited by 16 publications

(9 citation statements)

References 8 publications

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“…Dao et al [13] and Lee et al [14] show how to automatically adapt the projector calibration parameters to the projection surface. However, these systems ignore the influence of the user's viewpoint.…”

Section: Related Workmentioning

confidence: 99%

User Model for Predictive Calibration Control on Interactive Screens

Migge

Kunz

2010

2010 International Conference on Cyberworlds

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Abstract-On interactive surfaces, a precise calibration of the tracking system is necessary for an exact user interaction. So far, common calibration techniques focus on eliminating geometric distortions. This static calibration is only correct for a specific viewpoint of one single user and parallax error distortions still occur if this changes (i.e. if the user moves in front of the digital screen).In order to overcome this problem, we present an empirical model of the user's position and movement in front of a digital screen. With this, a model predictive controller is able to correct the parallax error for future positions of the user. We deduce the model's parameters from a user study on a large interactive whiteboard, in which we measured the 3D position of the user's viewpoint during common interaction tasks.

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Section: Related Workmentioning

confidence: 99%

User Model for Predictive Calibration Control on Interactive Screens

Migge

Kunz

2010

2010 International Conference on Cyberworlds

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“…However, these methods cannot adjust the size of an image and resolve image distortion; they can only stabilize the image projection against the fluctuation of a projector. Moreover, Dao et al [3] only focused on the correction of image distortion. In contrast, our proposed projection compensation algorithm aims at projection with an intended size, correction of image distortion, and projection stabilization during walking.…”

Section: Related Workmentioning

confidence: 99%

“…The approach limits the utilization of a system to a specific area, which might become a drawback for the gait assistance of elderly people. In contrast, the sensor-based projection compensation is a self-contained approach based on posture measurement by an inertial sensor [30] or a motion sensor [3]. This allows the user to utilize the system anywhere he/she wants.…”

Section: Environment-aided Vs Self-containedmentioning

confidence: 99%

“…The perspective transformation is then applied to the original image. Dao et al [3] only focused on the correction of image distortion, while Tajimi et al [30] proposed projected image compensation in moving states. In contrast, our approach takes into account not only the position of projection but also the size of an image and the distortion for spatial information presentation in the real world.…”

Section: Projection Compensation Algorithm With Inertial Sensor Algormentioning

confidence: 99%

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A wearable projector-based gait assistance system and its application for elderly people

Murata

Suzuki

Fujinami

2013

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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The ability to walk is particularly important to maintain a person's quality of life (QOL). In today's aged society, ways to support the impaired gait of elderly people with a decline in physical function is in great demand. This paper proposes wearable projector-based gait assistance as a novel application of mobile projectors. The technical challenge is to compensate the projected image with the intended position and size during walking. To verify the concept, we developed a self-gait training assistance system that displays stride length information on the floor while the user is walking. We conducted a study with ten healthy older adults (ages: 76-91). The results show the effectiveness of visual clues in controlling stride length and elderly people's acceptance of the wearable projector device.

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“…Dao et al [10] present a comprehensive method that uses inertial sensors to produce undistorted images in real-time with a handheld projector.…”

Section: Peephole Interaction With Handheld Projectorsmentioning

confidence: 99%

Revisiting peephole pointing

Kaufmann

Ahlström

2012

Proceedings of the 14th International Conference on Human-Computer Interaction With Mobile Devices and Services

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Peephole pointing is a promising interaction technique for large workspaces that contain more information than can be appropriately displayed on a single screen. In peephole pointing a window to the virtual workspace is moved in space to reveal additional content. In 2008, two different models for peephole pointing were discussed. Cao, Li and Balakrishnan proposed a two-component model, whereas Rohs and Oulasvirta investigated a similar model, but concluded that Fitts' law is sufficient for predicting peephole pointing performance. We present a user study performed with a handheld projector showing that Cao et al.'s model only outperforms Fitts' law in prediction accuracy when different peephole sizes are used and users have no prior knowledge of target location. Nevertheless, Fitts' law succeeds under the conditions most likely to occur. Additionally, we show that target overshooting is a key characteristic of peephole pointing and present the implementation of an orientation aware handheld projector that enables peephole interaction without instrumenting the environment.

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A semi-automatic realtime calibration technique for a handheld projector

Cited by 16 publications

References 8 publications

User Model for Predictive Calibration Control on Interactive Screens

User Model for Predictive Calibration Control on Interactive Screens

A wearable projector-based gait assistance system and its application for elderly people

Revisiting peephole pointing

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