Title
Walkthrough in large environments using concatenated panoramas
Abstract
Recently panorama-based virtual reality systems have a key issue that is how to achieve continuous walkthrough between the two adjacent panoramas. In order to solve this issue, we firstly take images in the sampling points of the transition path, and then the coefficients of image transformations among these images are estimated directly from these images. Finally, the images in the non-sampling points are synthesized from those images in the sampling points using image transformation techniques. The architecture and Scheduling mechanism of the prototype concatenated panorama system are also described in this paper.
Year
DOI
Venue
2009
10.1109/ROBIO.2009.5420659
ROBIO
Keywords
Field
DocType
scheduling mechanism,virtual reality,key issue,nonsampling point,image transformation,transition path,sampling point,panorama system,image sampling,walkthrough systems,large environment,adjacent panorama,panorama-based virtual reality systems,image transformation technique,continuous walkthrough,concatenated panorama,prototype concatenated panorama,image transformations coefficients,correlation
Computer vision,Architecture,Virtual reality,Computer graphics (images),Panorama,Computer science,Scheduling (computing),Image transformation,Sampling (statistics),Concatenation,Artificial intelligence,Software walkthrough
Conference
ISBN
Citations 
PageRank 
978-1-4244-4775-6
3
0.49
References 
Authors
8
3
Name
Order
Citations
PageRank
Xianghua Ying122123.55
Kun Peng2141.37
Hongbin Zha32206183.36