Vision-based object registration for real-time image overlay

Uenohara, Michihiro; Kanade, Takeo

doi:10.1007/bfb0034928

Cited by 24 publications

(11 citation statements)

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“…= r7X +r8y +r9z1 and fl12 U2 U0 (10) = rx + r2y2 + r3z2 m3 =v1 V0 t5 = rx + r5y2 + r6z2 m4 = V2 V0 = rx2 + 8y2 + the following equations can be obtained by substituting Equ. 10 into Equ.9:…”

Section: Fiducialsmentioning

confidence: 99%

<title>Vision-based hybrid tracking scheme for accurate registration in AR system</title>

2002

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Nowadays one of the key problems that influence the performance of an AR (Augmented Reality) system is the registration error. It is common that in the current AR systems a virtual object appears to swim about as the user moves, and often does not appear to rest at the same location when viewed from different directions. In order to provide a stable tracking result for our AR application, a hybrid tracking scheme that combines the robustness of the magnetic tracking and the static accuracy of the vision based tracking is developed. The principle of the vision-based tracking is presented and the tracking accuracy of the rotation angle is studied. A magnetic tracker composed of magnetoresistive sensors and accelerometers is proposed to compensate the shortcomings of the vision-based tracking. The algorithm to calculate the position and orientation of the tracked object by combining the calculation result of the magnetic tracking and the vision-based tracking is analyzed. The setup and the experimental results of the proposed AR system are given. The results validate the feasibility of the proposed AR system.

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Section: Fiducialsmentioning

confidence: 99%

<title>Vision-based hybrid tracking scheme for accurate registration in AR system</title>

2002

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“…A number of previous systems have applied this information. For example, Uenohara and Kanade's [20] system achieves medical-image registration based on five coplanar points. However, their system's disadvantage is that it is not robust if any points are obscured or not detected.…”

Section: Overview Of Approachmentioning

confidence: 99%

Real-time camera tracking for marker-less and unprepared augmented reality environments

Chia

Cheok

2008

Image and Vision Computing

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“…In the computer vision field, several techniques have been developed for tracking the object in the video image [20]. If we put special markers on the target object as shown in Fig.…”

Section: Step 1: Vision Based Head-tracking and Virtual Environment Rmentioning

confidence: 99%

What you can see is what you can feel-development of a visual/haptic interface to virtual environment

Yokokohji

Hollis

Kanade

1996

Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium

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In this papel; we propose a new concept of visuaWhaptic integaces called WYSIWYF display. The proposed concept provides correct visual/haptic registration using a visionbased object tracking technique and a video keying technique so that what the user can see via a visual interface is consistent with what he/she can feel through a haptic interface. Using Chroma Keying, a live video image of the user Shand is extracted and blended with the graphic scene of the virtual environment. The user's hand "encounters" the haptic device exactly when hidher hand touches a virtual object in the blended scene. The first prototype has been built and the proposed concept was demonstrated.

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Vision-based object registration for real-time image overlay

Cited by 24 publications

References 0 publications

<title>Vision-based hybrid tracking scheme for accurate registration in AR system</title>

<title>Vision-based hybrid tracking scheme for accurate registration in AR system</title>

Real-time camera tracking for marker-less and unprepared augmented reality environments

What you can see is what you can feel-development of a visual/haptic interface to virtual environment

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