Panoramic representation for route recognition by a mobile robot
International Journal of Computer Vision - Special issue on machine vision research at Osaka University
QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
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
Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments
IEEE 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
Interactive Design of Multi-Perspective Images for Visualizing Urban Landscapes
VIS '04 Proceedings of the conference on Visualization '04
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
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Photographing long scenes with multi-viewpoint panoramas
ACM SIGGRAPH 2006 Papers
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)
Proceedings of the 15th international conference on Multimedia
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Minimal Aspect Distortion (MAD) Mosaicing of Long Scenes
International Journal of Computer Vision
Image-Based Interactive Exploration of Real-World Environments
IEEE Computer Graphics and Applications
Generic Object Recognition in Urban Image Databases
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Generic Object Recognition in Urban Image Databases
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Visual content layer for scalable object recognition in urban image databases
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Digesting omni-video along routes for navigation
Proceedings of the international conference on Multimedia
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Image is a dominant medium for visualizing spatial environment and creating virtual access on the Internet. Where to capture images is however subjective and relies on artistic sense of photographers so far. In this paper, we will not only visualize areas with images, but also determine where the most distinct viewpoints should be located. Starting from elevation data of an area, we present spatial and content information in ground based images such that (1) a given number of images can have maximum coverage on informative scenes; (2) a sequence of views can be concatenated with minimum continuity along most-exposed-paths. According to scene visibility, continuity, and data redundancy we evaluate viewpoints numerically with an object-emitting illumination model. Our view exploration may eventually reduce data to archive and transmit, facilitate image acquisition, indexing and interaction, and enhance human perception of spaces. Real images are captured based on our planned key positions to form a visual network to index the area.