Title
Softposit for Augmented Reality in Complex Environments - Limitations and Challenges.
Abstract
Localization in dynamic environments is a challenging problem for Augmented Reality (AR) applications. Model-based localization methods use a prior model and an image to perform localization, and make use of the appearance of the environment. These methods cannot always be relied on, since in dynamic environments, the current appearance may be very different from the model. In this paper, we investigate SoftPOSIT, a model-based pose algorithm that does not rely on appearance. We apply line-based SoftPOSIT to a range of model types and complexities, and show that while SoftPOSIT produces promising results on basic cases, more work is needed in this area to attain useful results in complex real cases and AR applications.
Year
DOI
Venue
2018
10.1109/IVCNZ.2018.8634761
IVCNZ
Keywords
Field
DocType
Solid modeling,Three-dimensional displays,Computational modeling,Two dimensional displays,Complexity theory,Cameras,Sports
Computer vision,Computer science,Augmented reality,Human–computer interaction,Artificial intelligence,Solid modeling
Conference
ISSN
ISBN
Citations 
2151-2191
978-1-7281-0125-5
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Lewis Baker132.46
Stefanie Zollmann222722.58
Steven Mills34117.74
Tobias Langlotz439936.80