A video-based rendering acceleration algorithm for interactive walkthroughs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Omnidirectional image-based modeling: three approaches to approximated plenoptic representations
Machine Vision and Applications - Special issue: Omnidirectional vision and its applications
Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Baseline Detection and Localization for Invisible Omnidirectional Cameras
International Journal of Computer Vision - Special Issue on Omni-Directional Research in Japan
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Large-scale image sensing by a group of smart image sensors
Parallel Computing
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We describe an infrastructure for multiple perspective interactive video (MPI-Video) systems. An MPI-Video system assimilates data from multiple disparate sensors, allowing a user to interact with them in a meaningful way. At the heart of an MPI-Video system is an environment model (EM) that both assimilates data from multiple sensors and acts as an information server to clients. A collection of strongly-coupled dynamic state estimation algorithms does the assimilation. Results show that our infrastructure is easy to configure, easy to extend, and is effective at modeling a dynamic environment.