Fast Generation of Dynamic and Multi-Resolution 360-Degree Panorama from Video Sequences

Authors:
Zhigang Zhu;Guangyou Xu;Edward M. Riseman;Allen R. Hanson
Affiliations:
Tsinghua University and University of Massachusetts at Amherst;Tsinghua University;University of Massachusetts at Amherst;University of Massachusetts at Amherst
Venue:
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Year:
1999

Citing 0
Cited 6

Automatic Generation of Photo-Realistic Mosaic Image

BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

Autonomous Robots
Panoramas from partially blurred video

IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Sprite generation using sprite fusion

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A Fast and reliable image mosaicing technique with application to wide area motion detection

ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
FOCUS: clustering crowdsourced videos by line-of-sight

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a systematic approach to automatic construction of a dynamic and multi-resolution 360( panoramic (DMP) representation from image sequences taken during camera rotation and zoom. Although a simple 2D rigid motion model is used to estimate inter-frame motion parameters, our mosaicing methodology enables precise cylindrical panoramic mosaic. Moving objects are detected and separated from images based on motion information, and their accurate contours are extracted using a modified active contour algorithm. A multi-resolution representation is built for the more interesting areas by means of camera zooming. The DMP construction method is fast, robust and automatic, achieving 1 Hz on a 266MHz PC. No camera calibration, feature extraction, image segmentation or complicated nonlinear optimization processing is required in our algorithms. The construction of the panoramic representation can be used in virtual reality and very low bit-rate video coding.