Exploiting prior knowledge in mobile visual location recognition
Mobile visual location recognition needs to be performed in real-time for location based services to be perceived as useful. We describe and validate an approach that eliminates the network delay by preloading partial visual vocabularies to the mobile device. Retrieval performance is significantly increased by composing partial vocabularies based on the uncertainty about the location of the client. This way, prior knowledge is efficiently integrated into the matching process. Based on compressed feature sets, infrequently uploaded from the mobile device, the server estimates the client location and its uncertainty by fusing consecutive query results using a particle filter.