Vision-Based Registration for Augmented Reality with Integration of Arbitrary Multiple Planes

Uematsu, Yuko; Saitō, Hideo

doi:10.1007/11553595_19

Cited by 12 publications

(8 citation statements)

References 10 publications

(13 reference statements)

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“…Then we repeat this procedure for all the pairs and concatenate the homographies. This can be seen as the common projective space computed by [4] when all the patterns are coplanar.…”

Section: Construction Of the Appearance Modelmentioning

confidence: 99%

“…Most of the algorithms described in literature can be thought of in terms of a binary taxonomy: those that rely on absolute information [1,2], such as known models, and those based on chained transformations [3,4]. The former seek to find camera poses that correctly reproject some fixed features of a given 3D model into the 2D image.…”

Section: Introductionmentioning

confidence: 99%

“…To reduce the complexity Simon et al [3] and Uematsu et al [4] considers only planar reference objects. In this settings they can exploit both temporal and spatial coherence in the estimation, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Markerless Augmented Reality Using Image Mosaics

Azzari

Stefano

Tombari

et al. 2008

Lecture Notes in Computer Science

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Abstract. Augmented reality is a powerful tool for delivering spatially coherent information to a user moving in a known environment. Accurate and reliable pose estimation is the key to success. Many approaches track reference objects into the scene but as the environment grows larger more objects need to be tracked leading to computationally intensive methods. Instead, we propose a practical approach that is suitable for environment where big planar structures are present. All the objects laying on the structure are composed into a large reference object using image mosaicing techniques, so that the problem is reduced to that of finding the pose from a single plane. Experimental results show the effectiveness of this approach on two interesting case studies such as aeronautical servicing and cultural heritage.

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“…Then we repeat this procedure for all the pairs and concatenate the homographies. This can be seen as the common projective space computed by [4] when all the patterns are coplanar.…”

Section: Construction Of the Appearance Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Markerless Augmented Reality Using Image Mosaics

Azzari

Stefano

Tombari

et al. 2008

Lecture Notes in Computer Science

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“…Our system computes a projection matrix based on a homography that represents the case of Z = 0 in (1) by using Simon's method [10,11]. The algorithm is divided into three sections.…”

Section: Algorithm Overviewmentioning

confidence: 99%

AR Supporting System for Pool Games Using a Camera-Mounted Handheld Display

Uchiyama

Saitō

2008

Advances in Human-Computer Interaction

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This paper presents a pool supporting system with a camera-mounted handheld display based on augmented reality technology. By using our system, users can get supporting information when they once capture a pool table. They can also watch visual aids through the display while they are capturing the table. First, our system estimates ball positions on the table with one image taken from an arbitrary viewpoint. Next, our system provides several shooting ways considering the next shooting way. Finally, our system presents visual aids such as shooting direction and ball behavior. Main purpose of our system is to estimate and analyze the distribution of balls and to present visual aids. Our system is implemented without special equipment such as a magnetic sensor or artificial markers. For evaluating our system, the accuracy of ball positions and the effectiveness of our supporting information are presented

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“…Uematsu et al [7] has applied wide-area camera tracking method using multiple markers [8] to baseball observation onto a desktop baseball stadium model. Inamoto et al also proposed a system for AR observation of real soccer match onto a desktop soccer field model [9].…”

Section: Introductionmentioning

confidence: 99%

AR Display for Observing Sports Events Based on Camera Tracking Using Pattern of Ground

Enomoto

Saitō

2009

Lecture Notes in Computer Science

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Abstract. We present an AR display system for observing sports events on a desktop stadium based on fcamera tracking using pattern of the desktop ground by overlaying players in real sports events captured with multiple cameras. In this paper, we take soccer as the sports event. In the proposed system, the pose and the position of an observing camera are estimated in real-time by using a soccer field pattern on the desk top and an AR marker. The soccer field pattern in the desktop stadium on which the object soccer game is observed via AR display is previously registered with the real soccer stadium in which the real soccer game is captured with multiple cameras. In the previous procedure, we also estimate camera parameters (projection matrices) of the multiple cameras capturing the real soccer game using planar structures in the soccer field. Positions of soccer player and ball are also previously estimated based on the camera parameters. In the on-line procedure for AR display, the textures of the players captured in the multiple soccer video are simply overlaid onto AR camera videos with CG models which are generated for giving additional visual information.

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Vision-Based Registration for Augmented Reality with Integration of Arbitrary Multiple Planes

Cited by 12 publications

References 10 publications

Markerless Augmented Reality Using Image Mosaics

Markerless Augmented Reality Using Image Mosaics

AR Supporting System for Pool Games Using a Camera-Mounted Handheld Display

AR Display for Observing Sports Events Based on Camera Tracking Using Pattern of Ground

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