Panoramic representation for route recognition by a mobile robot
International Journal of Computer Vision - Special issue on machine vision research at Osaka University
Data Structures and Algorithm Analysis in C++
Data Structures and Algorithm Analysis in C++
Proceedings of the conference on Visualization '02
Acquisition of a Large Pose-Mosaic Dataset
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Toward Urban Model Acquisition from Geo-Located Images
PG '98 Proceedings of the 6th Pacific Conference on Computer Graphics and Applications
Real-Time Omnidirectional Image Sensors
International Journal of Computer Vision - Special Issue on Omni-Directional Research in Japan
Acquisition of Spherical Image by Fish-eye Conversion Lens
VR '04 Proceedings of the IEEE Virtual Reality 2004
Iconic Memory-Based Omnidirectional Route Panorama Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pervasive views: area exploration and guidance using extended image media
Proceedings of the 13th annual ACM international conference on Multimedia
Scanning Scene Tunnel for City Traversing
IEEE Transactions on Visualization and Computer Graphics
Integrating LiDAR, Aerial Image and Ground Images for Complete Urban Building Modeling
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Scanning Depth of Route Panorama Based on Stationary Blur
International Journal of Computer Vision
Locating key views for image indexing of spaces
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Effective Visualization of Short Routes
IEEE Transactions on Visualization and Computer Graphics
Key views for visualizing large spaces
Journal of Visual Communication and Image Representation
Employing a fish-eye for scene tunnel scanning
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
| Hi-index | 0.00 |
Omni-directional video records complete visual information along a route. Though replaying an omni-video presents reality, it requires significant amount of memory and communication bandwidth. This work extracts distinct views from an omni-video to form a visual digest named route sheet for navigation. We sort scenes at the motion and visibility level and investigate the similarity/redundancy of scenes in the context of a route. We use source data from 3D elevation map or omni-videos for the view selection. By condensing the flow in the video, our algorithm can generate distinct omni-view sequences with visual information as rich as the omni-video for further scene indexing and navigation with GIS data.