{"title":"DigiLog Space: Real-Time Dual Space Registration and Dynamic Information Visualization for 4D+ Augmented Reality","authors":"Taejin Ha, Hyeongmook Lee, Woontack Woo","doi":"10.1109/ISUVR.2012.18","DOIUrl":"https://doi.org/10.1109/ISUVR.2012.18","url":null,"abstract":"In this paper, we propose a DigiLog space that combines physical real world and its mirrored world to realize a 4D+ augmented reality. To support this, a RGB-D-based feature map is designed which is robust to lighting changes and enables texture-less object detection and tracking. Then we suggest a real-time context of interest (CoI) registration method for dynamic augmented reality (AR) information visualization. Through these technologies, a user wearing AR glasses can seamlessly experience CoI-based AR information of the 4D+ mirror world while moving indoors or outdoors. Therefore, a human's activity can be spatially/temporally extended by sharing and experiencing the mirror world's useful information. This could be applicable to AR-based time/space-transcended smart work, next-generation experimental education, AR simulation, video-based information surveying, AR medical information, and AR entertainment.","PeriodicalId":387946,"journal":{"name":"2012 International Symposium on Ubiquitous Virtual Reality","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127167487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From Interactive to Adaptive Augmented Reality","authors":"D. Stricker, G. Bleser","doi":"10.1109/ISUVR.2012.15","DOIUrl":"https://doi.org/10.1109/ISUVR.2012.15","url":null,"abstract":"This paper presents several results from the research department \"Augmented Vision\" of the German Research Center for Artificial Intelligence. The driving idea of this work is to move from traditional Augmented Reality (AR) systems, which are often limited to visualization and tracking components, to AR cognitive systems, which have or gradually build knowledge about the situation and intentions of the user. Such systems will basically be much more unobtrusive and adapt the information presentation to the users' actual needs. To reach this goal, strong progress must be done in several areas, starting with 3D scene digitalization and analysis, body modeling and motion capturing, and action and workflow recognition. An overview of current results and work-in-progress of the Augmented Vision group in those areas is presented and finally discussed.","PeriodicalId":387946,"journal":{"name":"2012 International Symposium on Ubiquitous Virtual Reality","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114712863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Local Feature Descriptors for 3D Object Recognition in Ubiquitous Virtual Reality","authors":"Youngkyoon Jang, Woontack Woo","doi":"10.1109/ISUVR.2012.20","DOIUrl":"https://doi.org/10.1109/ISUVR.2012.20","url":null,"abstract":"This paper represents 3D object recognition, which is an extension of the common feature point-based object recognition, based on novel descriptors utilizing local angles (for shape), gradient orientations (for texture of corners), and color information. First, the proposed algorithm extracts complementary feature points by randomly sampling the positions of the object edges. Then, it generates the proposed descriptors combining local angle patterns, gradient orientations, and color information. After making the descriptors, the method learns a codebook to enable the proposed algorithm to integrate the extracted feature points into a histogram through this codebook. Finally, the method classifies the query histogram based on a classifier. We expect that the proposed algorithm is robust to less textured and similar-shaped objects. The proposed method could be used as a core technology of the initial step of the information retrieval.","PeriodicalId":387946,"journal":{"name":"2012 International Symposium on Ubiquitous Virtual Reality","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}