2005
DOI: 10.1016/j.neunet.2005.06.040
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Interactive image data labeling using self-organizing maps in an augmented reality scenario

Abstract: Abstract-We present an approach for the convenient labeling of image patches gathered from an unrestricted environment. The system is employed for a mobile Augmented Reality (AR) gear: While the user walks around with the head-mounted AR-gear, context-free modules for focus-of-attention permanently sample the most "interesting" image patches. After this acquisition phase, a Self-Organizing Map (SOM) is trained on the complete set of patches, using combinations of MPEG-7 features as a data representation. The S… Show more

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Cited by 17 publications
(7 citation statements)
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References 19 publications
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“…Shape visualizations at the extremes of the multivariate axes were performed by warping the scanned surface of a Panthera onca (femur and tibia) and an Uncia uncia (pelvis), using Landmark software [58] (see [38] for further details).…”
Section: Methodsmentioning
confidence: 99%
“…Shape visualizations at the extremes of the multivariate axes were performed by warping the scanned surface of a Panthera onca (femur and tibia) and an Uncia uncia (pelvis), using Landmark software [58] (see [38] for further details).…”
Section: Methodsmentioning
confidence: 99%
“…APÉNDICE. Los HMD, son utilizados en Realidad Virtual, y por herencia, es común su uso en aplicaciones de RA (Auer & Pinz, 1999), (Kato & Billinghurst, 1999), (Kiyokawa, Takemura, & Yokoya, 2000), (Wanschitz, y otros, 2002), (Avery, Thomas, Velikovsky, & Piekarsky, 2005), (Malkawi & Srinivasan, 2005), (Szalavári & Gervautz, 1997), (Fuhrmann, Löffelmann, Schmalstieg, & Gervautz, 1998), (Höllerer, Feiner, Terauchi, Rashid, & Hallaway, 1999), (Höllerer, y otros, 2001), (Cheok, Fong, Goh, Yang, Liu, & Farzbiz, 2003), (Cheok, y otros, 2004) (Bekel, Heidemann, & Ritter, 2005), (Teichrieb, y otros, 2007) .…”
Section: Hdm Y Hudunclassified
“…Bekel [16] presented a viewpoint based approach for AR. This method used Self-Organizing Map (SOM) to train as a classifier which is later used to label different types of objects by overlaying in the scene.…”
Section: Indoor Techniquesmentioning
confidence: 99%