scholarly journals Fast Scene Recognition and Camera Relocalisation for Wide Area Augmented Reality Systems

Sensors ◽  
2010 ◽  
Vol 10 (6) ◽  
pp. 6017-6043 ◽  
Author(s):  
Tao Guan ◽  
Liya Duan ◽  
Yongjian Chen ◽  
Junqing Yu
Keyword(s):  
Augmented Reality ◽  
Scene Recognition ◽  
Wide Area

Improving Registration of Augmented Reality by Incorporating DCNNS into Visual SLAM

2018 ◽  
Vol 32 (12) ◽  
pp. 1855022 ◽  
Author(s):  
Yongbin Chen ◽  
Hanwu He ◽  
Heen Chen ◽  
Teng Zhu
Keyword(s):  
Augmented Reality ◽  
Three Dimensional ◽  
Semantic Segmentation ◽  
Recognition Algorithm ◽  
Scene Recognition ◽  
3D Registration ◽  
Deep Convolutional Neural Networks ◽  
Severe Problem ◽  
Localization And Mapping ◽  
Semantic Scene

Augmented reality (AR) by analyzing the characteristics of the scene, the computer-generated geometric information which can be added to the real environment in the way of visual fusion, reinforces the perception of the world. Three-dimensional (3D) registration is one of the core issues of in AR. The key issue is to estimate the visual sensor’s posture in the 3D environment and figure out the objects in the scene. Recently, computer vision has made significant progress, but the registration based on natural feature points in 3D space for AR system is still a severe problem. There is the difficulty of working out the mobile camera’s posture in the 3D scene precisely due to the unstable factors, such as the image noise, changing light and the complex background pattern. Therefore, to design a stable, reliable and efficient scene recognition algorithm is still very challenging work. In this paper, we propose an algorithm which combines Visual Simultaneous Localization and Mapping (SLAM) and Deep Convolutional Neural Networks (DCNNS) to boost the performance of AR registration. Semantic segmentation is a dense prediction task which aims to predict categories for each pixel in an image when applying to AR registration, and it will be able to narrow the searching range of the feature point between the two frames thus enhancing the stability of the system. Comparative experiments in this paper show that the semantic scene information will bring a revolutionary breakthrough to the AR interaction.

scholarly journals Development of Wide-Area Tracking System for Augmented Reality

2007 ◽  
pp. 234-243 ◽  
Author(s):  
Hirotake Ishii ◽  
Hidenori Fujino ◽  
Bian Zhiqiang ◽  
Tomoki Sekiyama ◽  
Toshinori Nakai ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Tracking System ◽  
Wide Area

scholarly journals Visual Enhancement for Sports Entertainment by Vision-Based Augmented Reality

2008 ◽  
Vol 2008 ◽  
pp. 1-14 ◽  
Author(s):  
Yuko Uematsu ◽  
Hideo Saito
Keyword(s):  
Augmented Reality ◽  
Field Model ◽  
Wide Area ◽  
Observation System ◽  
Knock Down ◽  
Baseball Game ◽  
Visual Enhancement ◽  
Sports Entertainment ◽  
Web Camera ◽  
Geometrical Relationship

This paper presents visually enhanced sports entertainment applications: AR Baseball Presentation System and Interactive AR Bowling System. We utilize vision-based augmented reality for getting immersive feeling. First application is an observation system of a virtual baseball game on the tabletop. 3D virtual players are playing a game on a real baseball field model, so that users can observe the game from favorite view points through a handheld monitor with a web camera. Second application is a bowling system which allows users to roll a real ball down a real bowling lane model on the tabletop and knock down virtual pins. The users watch the virtual pins through the monitor. The lane and the ball are also tracked by vision-based tracking. In those applications, we utilize multiple 2D markers distributed at arbitrary positions and directions. Even though the geometrical relationship among the markers is unknown, we can track the camera in very wide area.

Real-Time Camera Pose Estimation for Wide-Area Augmented Reality Applications

2011 ◽  
Vol 31 (3) ◽  
pp. 56-68 ◽  
Author(s):  
Tao Guan ◽  
Liya Duan ◽  
Junqing Yu ◽  
Yongjian Chen ◽  
Xu Zhang
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Pose Estimation ◽  
Wide Area ◽  
Camera Pose Estimation ◽  
Camera Pose

Wide area localization and tracking on camera phones for mobile augmented reality systems

2014 ◽  
Vol 21 (4) ◽  
pp. 381-399 ◽  
Author(s):  
Benchang Wei ◽  
Tao Guan ◽  
Liya Duan ◽  
Junqing Yu ◽  
Tan Mao
Keyword(s):  
Augmented Reality ◽  
Wide Area ◽  
Mobile Augmented Reality ◽  
Camera Phones ◽  
Localization And Tracking
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