International Journal of Computer Vision
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A real-time tracker for markerless augmented reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Authoring 3D Hypermedia for Wearable Augmented and Virtual Reality
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Fusion of Vision, 3D Gyro and GPS for Camera Dynamic Registration
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Fly-through Heijo palace site: augmented telepresence using aerial omnidirectional videos
ACM SIGGRAPH 2011 Posters
Efficient city-sized 3D reconstruction from ultra-high resolution aerial and ground video imagery
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Fly-through heijo palace site: historical tourism system using augmented telepresence
Proceedings of the 20th ACM international conference on Multimedia
Spacetime freeview generation using image-based rendering, relighting, and augmented telepresence
Proceedings of the 20th ACM international conference on Multimedia
Calibrating a wide-area camera network with non-overlapping views using mobile devices
ACM Transactions on Sensor Networks (TOSN)
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This paper describes a novel method for estimating extrinsic camera parameters using both feature points on an image sequence and sparse position data acquired by GPS. Our method is based on a structure-from-motion technique but is enhanced by using GPS data so as to minimize accumulative estimation errors. Moreover, the position data are also used to remove mis-tracked features. The proposed method allows us to estimate extrinsic parameters without accumulative errors even from an extremely long image sequence. The validity of the method is demonstrated through experiments of estimating extrinsic parameters for both synthetic and real outdoor scenes.