Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario

Bekel H, Heidemann G, Ritter H (2005)
Neural Networks 18(2005 Special Iss.): 566-574.

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Abstract / Bemerkung
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 SOM allows visualization of the sampled patches and an easy manual sorting into categories. With very little effort, the user can compose a training set for a classifier, thus, unknown objects can be made known to the system. We evaluate the system for COIL-imagery and demonstrate that a user can reach satisfying categorization within few steps, even for image data sampled from walking in an office environment.
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Zeitschriftentitel
Neural Networks
Band
18
Zeitschriftennummer
2005 Special Iss.
Seite
566-574
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Bekel H, Heidemann G, Ritter H. Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario. Neural Networks. 2005;18(2005 Special Iss.):566-574.
Bekel, H., Heidemann, G., & Ritter, H. (2005). Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario. Neural Networks, 18(2005 Special Iss.), 566-574. doi:10.1016/j.neunet.2005.06.040
Bekel, H., Heidemann, G., and Ritter, H. (2005). Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario. Neural Networks 18, 566-574.
Bekel, H., Heidemann, G., & Ritter, H., 2005. Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario. Neural Networks, 18(2005 Special Iss.), p 566-574.
H. Bekel, G. Heidemann, and H. Ritter, “Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario”, Neural Networks, vol. 18, 2005, pp. 566-574.
Bekel, H., Heidemann, G., Ritter, H.: Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario. Neural Networks. 18, 566-574 (2005).
Bekel, Holger, Heidemann, Gunther, and Ritter, Helge. “Interactive Image Data Labeling Using Self-Organizing Maps in an Augmented Reality Scenario”. Neural Networks 18.2005 Special Iss. (2005): 566-574.
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3 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

A preliminary investigation assessing the viability of classifying hand postures in seniors.
Tavakolan M, Xiao ZG, Menon C., Biomed Eng Online 10(), 2011
PMID: 21906316

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