Research Trends and Case Study on Keypoint Recognition and Tracking for Augmented Reality in Mobile Devices

Title
Research Trends and Case Study on Keypoint Recognition and Tracking for Augmented Reality in Mobile Devices
Authors
최희승안상철김익재
Keywords
증강현실; 특징점; 객체 인식; 추적 기술
Issue Date
2015-11
Publisher
한국HCI학회 논문지; Journal of HCI Korea
Citation
VOL 10, NO 2
Abstract
In recent years, keypoint recognition and tracking technologies are considered as crucial task in many practical systems for markerless augmented reality. The keypoint recognition and technologies are widely studied in many research areas, including computer vision, robot navigation, human computer interaction, and etc. Moreover, due to the rapid growth of mobile market related to augmented reality applications, several effective keypoint-based matching and tracking methods have been introduced by considering mobile embedded systems. Therefore, in this paper, we extensively analyze the recent research trends on keypoint-based recognition and tracking with several core components: keypoint detection, description, matching, and tracking. Then, we also present one of our research related to mobile augmented reality, named mobile tour guide system, by real-time recognition and tracking of tour maps on mobile devices.
URI
http://pubs.kist.re.kr/handle/201004/58230
ISSN
19760671
Appears in Collections:
KIST Publication > Article
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE