Augmented Reality-based Visiting Guidance in Indoor Artistic Statue Exhibitions by Use of Smart Phones

• Main Authors: Chang, Tzu-Lung, 張子瀧
• Other Authors: Tsai, Wen-Hsiang
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/60860122231760375383

碩士 === 國立交通大學 === 資訊學院資訊學程 === 103 === Finding an artwork in an artistic exhibition is sometimes frustrating because a visitor usually does not know the location of the work they are looking for and they might even not know how it looks like. To solve such a problem, an augmented reality (AR)-based guidance system for use in indoor artistic-statue exhibitions is proposed to help the visitor find an artwork they are interested in. The system has the functions of guiding a visitor to a statue that he/she selects as the target; and providing the detailed information of the taret statue by overlaying the information onto the screen of the visitor’s smart phone. Both functions are provided in an AR way. In order to recognize a statue, which is a 3D object, a skillful exhaustive image-feature matching method is proposed, which “learns” an input statue by capturing the images of the statue from different viewing angles as a database, and recognizes the input statue by matching its image against the database via the use of speeded-up robust features (SURFs). Also, a method using two nearest neighbors of each of the matched keypoints in the SURFs is proposed to refine the resulting matches and improve further the matching accuracy. Moreover, a K-d tree algorithm is adopted to speed up the feature matching process; and a client/server model is used to improve the responsiveness of the proposed system. In order to locate the visitor, a method that recognizes a statue near the visitor and takes its location as the visitor’s location is proposed. Specifically, the visitor takes an image of a nearby statue and the image is sent to the remote server for statue recognition. The location of the recognized statue is then retrieved from the database for use as the visitor’s location. After the location of the visitor is known, a method based on the Dijkstra algorithm is proposed, by which the system can plan a suitable shortest path from the visitor’s current location to the location of the target statue. Also, in order to guide the visitor in an intuitive way, an AR-based guidance method which augments an arrow on the screen of the visitor’s smart phone is proposed. This guidance arrow is updated dynamically based on a technique that utilizes the reading value of the built-in digital compass of the visitor’s smart phone. Good experimental results showing the feasibility of the proposed system and methods are also included.