Title
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
Abstract
We have built an outdoors augmented reality system for mobile phones that matches camera-phone images against a large database of location-tagged images using a robust image retrieval algorithm. We avoid network latency by implementing the algorithm on the phone and deliver excellent performance by adapting a state-of-the-art image retrieval algorithm based on robust local descriptors. Matching is performed against a database of highly relevant features, which is continuously updated to reflect changes in the environment. We achieve fast updates and scalability by pruning of irrelevant features based on proximity to the user. By compressing and incrementally updating the features stored on the phone we make the system amenable to low-bandwidth wireless connections. We demonstrate system robustness on a dataset of location-tagged images and show a smart-phone implementation that achieves a high image matching rate while operating in near real-time.
Year
DOI
Venue
2008
10.1145/1460096.1460165
Multimedia Information Retrieval
Keywords
Field
DocType
large database,loxel-based visual feature organization,outdoors augmented reality system,robust local descriptors,mobile phone,system robustness,state-of-the-art image retrieval algorithm,high image,camera-phone image,location-tagged image,robust image retrieval algorithm,image annotation,local search,near real time,image retrieval,augmented reality,indexing terms,camera phone,mobile computing
Mobile computing,Computer vision,Wireless,Computer science,Image retrieval,Augmented reality,Robustness (computer science),Phone,Artificial intelligence,Mobile phone,Scalability
Conference
Citations 
PageRank 
References 
158
8.48
24
Authors
9
Search Limit
100158
Name
Order
Citations
PageRank
Gabriel Takacs169831.40
Vijay Chandrasekhar294945.35
Natasha Gelfand3123667.99
Yingen Xiong443730.25
Wei-Chao Chen572961.47
Thanos Bismpigiannis61588.48
Radek Grzeszczuk72562204.55
Kari Pulli82170157.09
Bernd Girod989881062.96