Interactive modelling for AR applications

Bastian, John W.; Ward, Ben; Hill, Rhys; Hengel, Anton van den; Dick, Anthony

doi:10.1109/ismar.2010.5643570

Cited by 22 publications

(12 citation statements)

References 21 publications

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“…It carries out localization and mapping in a small room. J. Bastian proposed an interactive modeling algorithm for AR applications using PTAM [11]. It uses Klein and Murray's PTAM algorithm for object tracking.…”

Section: Related Workmentioning

confidence: 99%

Real‐time robust 3D object tracking and estimation for surveillance system

Park

Rho

Jeong

2013

Security Comm Networks

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We present a new 3D object tracking algorithm that supports multiple planar and nonplanar objects with real‐time processing speed and high accuracy. The main problem of object tracking algorithm is the limitation of the supporting type of target object, slow processing speed, and low tracking accuracy. Our algorithm provides high accuracy and real‐time performance while detecting not only planar objects but also nonplanar objects. The real‐time performance is accomplished by using Features from Accelerated Segment Test corner detection, region of interest, and parallel processing on a multicore processor. High accuracy is realized by using a scale‐invariant feature transform descriptor, random sample consensus, region of interest, and double robust filtering. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Real‐time robust 3D object tracking and estimation for surveillance system

Park

Rho

Jeong

2013

Security Comm Networks

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“…Figure 2 shows the process of estimating a 3D POR. The process generates a triangular mesh of the PTAM points that are visible on the current frame [5,31]. The 3D POR X is calculated from the triangle X 0 X 1 X 2 of visible PTAM points Session: EyeWear Computing ISWC'13, September 9-12, 2013, Zurich, Switzerland which includes the intersection point…”

Section: D Point-of-regardsmentioning

confidence: 99%

“…For example, the interactive system proposed by Bastian et al [5] which is also based on PTAM, requires the user to select the object of interest and the background by using a mouse to paint on the input video stream. However, to identify the object and background using the user's gaze alone is not a simple task.…”

Section: Object Segmentationmentioning

confidence: 99%

3D from looking

Leelasawassuk

Mayol-Cuevas

2013

Proceedings of the 2013 International Symposium on Wearable Computers

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This paper presents a method for estimating the 3D shape of an object being observed using wearable gaze tracking. Starting from a sparse environment map generated by a simultaneous localization and mapping algorithm (SLAM), we use the gaze direction positioned in 3D to extract the model of the object under observation. By letting the user look at the object of interest, and without any feedback, the method determines 3D point-of-regards by back-projecting the user's gaze rays into the map. The 3D point-of-regards are then used as seed points for segmenting the object from captured images and the calculated silhouettes are used to estimate the 3D shape of the object. We explore methods to remove outlier gaze points that result from the user saccading to non object points and methods for reducing the error in the shape estimation. Being able to exploit gaze information in this way, enables the user of wearable gaze trackers to be able to do things as complex as object modelling in a hands-free and even feedback-free manner.

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“…Their approach let the user to draw a certain images on a paper to create virtual models and interact with them. Bastian et al implemented an interaction approach to duplicate a real object virtually [10].…”

Section: Related Workmentioning

confidence: 99%

Foldable augmented papers with a relaxed constraint

Martedi

Saitō

2011

2011 1st International Symposium on Access Spaces (ISAS)

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This paper presents an interaction approach for augmented reality using the folding with a relaxed constraint. In our approach, the user can fold a paper and see virtual contents overlaid on the paper. The paper can be folded in horizontal, vertical, and diagonal direction. The folded surface is defined as two polygonal planes that are connected in the folding line. The main contribution of this paper are the automatic detection of the folding line and the plane segmentation based on the extended folding model. In addition, the virtual contents can be overlaid on each segment planes by estimating the camera pose of each plane. We develop two interactive augmented reality applications that overlay the virtual contents dynamically when the user fold the paper.

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Interactive modelling for AR applications

Cited by 22 publications

References 21 publications

Real‐time robust 3D object tracking and estimation for surveillance system

Real‐time robust 3D object tracking and estimation for surveillance system

3D from looking

Foldable augmented papers with a relaxed constraint

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