Time Machine: A Mobile Augmented Reality System for Tourism Based on Coded-Aperture Camera

Time Machine is an Augmented Reality (AR) system for enhancing tourists' traveling experience. Based on optimized panoramic images, we proposed a novel spatiotemporal interactive approach which imbues users the ability to interact with both the spatial world and its history. Time machine utilizes panorama of a specific place at different time for achieving interactions with temporal dimension. It also adopts interior panorama of landmark building which can be used by the user to interact with the physical world. Additionally, the panoramas optimized by aperture-coded camera can alleviate the noisy foreground information such as crowds and address defocus blurring to improve the quality of panorama.

[1]  Damianos Gavalas,et al.  An innovative mobile electronic tourist guide application , 2009, Personal and Ubiquitous Computing.

[2]  Daqiang Zhang,et al.  Predicting Mobile Phone User Locations by Exploiting Collective Behavioral Patterns , 2012, 2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing.

[3]  Steven K. Feiner,et al.  A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment , 1997, Digest of Papers. First International Symposium on Wearable Computers.

[4]  Damianos Gavalas,et al.  A web-based pervasive recommendation system for mobile tourist guides , 2011, Personal and Ubiquitous Computing.

[5]  Efpraxia D. Zamani,et al.  Enhancing the Tourism Experience through Mobile Augmented Reality: Challenges and Prospects , 2012 .

[6]  Sung-Bae Cho,et al.  A Mobile Context Sharing System Using Activity and Emotion Recognition with Bayesian Networks , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[7]  D. W. F. van Krevelen,et al.  A Survey of Augmented Reality Technologies, Applications and Limitations , 2010, Int. J. Virtual Real..

[8]  Yukikazu Nakamoto,et al.  Toward Remote Service Invocation in Android , 2012, 2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing.

[9]  A. Dunser,et al.  CityViewAR: A mobile outdoor AR application for city visualization , 2012, 2012 IEEE International Symposium on Mixed and Augmented Reality - Arts, Media, and Humanities (ISMAR-AMH).

[10]  Reinhard Klette,et al.  Monocular 3D Reconstruction of Objects Based on Cylindrical Panoramas , 2009, PSIVT.

[11]  Frédo Durand,et al.  Image and depth from a conventional camera with a coded aperture , 2007, ACM Trans. Graph..

[12]  Yongtian Wang,et al.  A new method to accelerate depth extraction for aperture-coded camera , 2013 .

[13]  Tomasz Adamek,et al.  MobiAR : Tourist Experiences through Mobile Augmented Reality , 2010 .

[14]  Yong Zhang,et al.  TouchInteract: An Interaction Technique with Large Displays Using Touchscreen-Phone , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[15]  Masanori Hattori,et al.  Human Activity Recognizer for Mobile Devices with Multiple Sensors , 2009, 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing.

[16]  Matthew A. Brown,et al.  Recognising panoramas , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[17]  Michael F. Cohen,et al.  Video enhanced gigapixel panoramas , 2012, SIGGRAPH 2012.

[18]  胡翔,et al.  Method for obtaining panorama by using code aperture camera , 2013 .