Invisible Marker Tracking System Using Image Watermarking for Augmented Reality

2007 ◽  
Author(s):  
Hong Ro Lee ◽  
Jung Sub Shin ◽  
Chi Jung Hwang
Keyword(s):  
Augmented Reality ◽  
Image Watermarking ◽  
Tracking System ◽  
Marker Tracking

scholarly journals Visual Calibration for Multiview Laser Doppler Speed Sensing

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 582 ◽  
Author(s):  
Yunpu Hu ◽  
Leo Miyashita ◽  
Yoshihiro Watanabe ◽  
Masatoshi Ishikawa
Keyword(s):  
Laser Doppler Velocimetry ◽  
Tracking System ◽  
Calibration Method ◽  
Laser Doppler ◽  
Data Sets ◽  
Motion Sensing ◽  
Marker Tracking ◽  
Factors Influencing ◽  
Sensing Model ◽  
Visual Marker

We present a novel calibration method for a multi-view laser Doppler speed sensing (MLDSS) system. In contrast with the traditional method where only the laser geometry is independently calibrated, the proposed method simultaneously optimizes all the laser parameters and directly associates the parameters with a motion sensing model. By jointly considering the consistency among laser Doppler velocimetry, the laser geometry and a visual marker tracking system, the proposed calibration method further boosts the accuracy of MLDSS. We analyzed the factors influencing the precision, and quantitatively evaluated the efficiency of the proposed method on several data sets.

AN S-PI VISION-BASED TRACKING SYSTEM FOR OBJECT MANIPULATION IN AUGMENTED REALITY

2015 ◽  
Vol 75 (4) ◽  
Author(s):  
Ajune Wanis Ismail ◽  
Mark Bilinghust ◽  
Mohd Shahrizal Sunar
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Tracking System ◽  
Object Manipulation ◽  
3D Graphics ◽  
Virtual Objects ◽  
3D Objects ◽  
Time Calibration ◽  
Detection Stage ◽  
Vision Algorithm

In this paper, we describe a new tracking approach for object handling in Augmented Reality (AR). Our approach improves the standard vision-based tracking system during marker extraction and its detection stage. It transforms a unique tracking pattern into set of vertices which are able to perform interaction such as translate, rotate, and copy. This is based on arobust real-time computer vision algorithm that tracks a paddle that a person uses for input. A paddle pose pattern is constructed in a one-time calibration process and through vertex-based calculation of the camera pose relative to the paddle we can show 3D graphics on top of it. This allows the user to look at virtual objects from different viewing angles in the AR interface and perform 3D object manipulation. This approach was implemented using marker-based tracking to improve the tracking in term of the accuracy and robustness in manipulating 3D objects in real-time. We demonstrate our improved tracking system with a sample Tangible AR application, and describe how the system could be improved in the future.

Measuring hand-pouring motion in casting process using augmented reality marker tracking

2020 ◽  
Vol 106 (11-12) ◽  
pp. 5333-5343 ◽  
Author(s):  
Yuichi Motoyama ◽  
Kazuyo Iwamoto ◽  
Hitoshi Tokunaga ◽  
Toshimitsu Okane
Keyword(s):  
Augmented Reality ◽  
Casting Process ◽  
Marker Tracking

scholarly journals Effective calibration of an endoscope to an optical tracking system for medical augmented reality

2017 ◽  
Vol 4 (1) ◽  
pp. 1359955 ◽  
Author(s):  
Seongpung Lee ◽  
Hyunki Lee ◽  
Hyunseok Choi ◽  
Sangseo Jeon ◽  
Jaesung Hong ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Tracking System ◽  
Optical Tracking ◽  
Optical Tracking System ◽  
Medical Augmented Reality
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