Recognizing locations with Google Glass: A case study
Research output: Contribution to journal › Conference article › Research › peer-review
Wearable computers are rapidly gaining popularity as more people incorporate them into their everyday lives. The introduction of these devices allows for wider deployment of Computer Vision based applications. In this paper, we describe a system developed to deliver users of wearable computers a tour guide experience. In building our system, we compare and contrast different techniques towards achieving our goals. Those techniques include using various descriptor types, such as HOG, SIFT and SURF, under different encoding models, such as holistic approaches, Bag-of-Words, and Fisher Vectors. We evaluate those approaches using classification methods including Nearest Neighbor and Support Vector Machines. We also show how to incorporate information external to images, specifically GPS, to improve the user experience.
Original language | English |
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Journal | 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014 |
Pages (from-to) | 167-174 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014 - Steamboat Springs, CO, United States Duration: 24 Mar 2014 → 26 Mar 2014 |
Conference
Conference | 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014 |
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Country | United States |
City | Steamboat Springs, CO |
Period | 24/03/2014 → 26/03/2014 |
ID: 302164418