Paper Info
Title
Photo-Shoot Localization Of A Mobile Camera Based On Registered Frame Data Of Virtualized Reality Models
Abstract
This paper presents a study of a method for estimating the position and orientation of a photo-shoot in indoor environments for augmented reality applications. Our proposed localization method is based on registered frame data of virtualized reality models, which are photos with known photo-shoot positions and orientations, and depth data. Because registered frame data are secondary product of modeling process, additional works are not necessary to create registered frame data especially for the localization. In the method, a photo taken by a mobile camera is compared to registered frame data for the localization. Since registered frame data are linked with photo-shoot position, orientation, and depth data, 3D coordinates of each pixel on the photo of registered frame data is available. We conducted experiments with employing five techniques of the estimation for comparative evaluations.
Year
Venue
Keywords
2013
2013 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR) - SCIENCE AND TECHNOLOGY
H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial, Augmented, and Virtual Realities, I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Sensor Fusion, Tracking
Field
DocType
ISSN
Computer vision,Mobile camera,Computer graphics (images),Computer science,Pose,Augmented reality,Artificial intelligence,Pixel,3d coordinates
Conference
1554-7868
Citations 
PageRank 
References 
0
0.34
0
Authors
10
Name
Order
Citations
PageRank
Koji Makita172.64
Jun Nishida200.68
Tomoya Ishikawa3527.89
Takashi Okuma415220.17
Masakatsu Kourogi527453.13
Thomas Vincent632027.52
Laurence Nigay71285110.66
Jun Yamashita81269.85
Hideaki Kuzuoka982199.29
Takeshi Kurata1037165.66