@inproceedings{ordonezmuller_2015, abstract = {In infrared thermography, the temperature measured by a thermal imaging device varies with the position and orientation of the camera with respect to an object's surface. 3D thermography has hence the potential to depict the surface temperature of objects with higher fidelity than conventional 2D thermography. So far the problem of assigning temperature values that correspond to the same surface but were obtained from different perspectives has been addressed by simply overwriting previous values with new values or by averaging the measured values according to a weighted averaging scheme. A new approach to map temperature values onto a 3D model is proposed that results in a more faithful representation of an object's real surface temperature in form of a 3D thermogram. Temperature values are assigned in real time to the 3D model taking into consideration the observation conditions under which they were measured. These conditions are also made available to the user in form of textured 3D models, where the texture color depicts the level of confidence associated to the thermal measurements. These textures provide useful additional information about the 3D thermogram. The new approach is especially helpful in the real-time generation of 3D thermograms as the user gets live feedback on the quality of the thermal model being generated.}, address = {Auckland, New Zealand}, author = {Ordonez Müller, Antonio and Kroll, A.}, booktitle = {9th International Conference on Sensing Technology (ICST 2015)}, comment = {======= Review 1 ======= > *** Guidance for Authors: Please describe in detail main paper contributions, positive aspects, observed deficiencies, and suggestions on how to improve them: This is a well presented paper that stakes a clear claim for improved creation of 3D thermograms. It will be interesting in future to see the results of a comparison between the imaging system and independent (e.g. contact) temperature measurements of the same objects. > *** Overall Rating: Do you recommend acceptance or rejection? Accept (5) > *** Presentation: How would you rate the presentation of this paper? Strong Accept (6) > *** Technical Quality: How would you rate the technical quality of this paper? Accept (5) > *** Significance of Topic: Is this topic significant to ICST 2015? Accept (5) > *** Originality: How would you rate the originality of the paper? Accept (5) ======= Review 2 ======= > *** Guidance for Authors: Please describe in detail main paper contributions, positive aspects, observed deficiencies, and suggestions on how to improve them: Very interesting work. What is the resolution of such images? > *** Overall Rating: Do you recommend acceptance or rejection? Strong Acception (6) > *** Presentation: How would you rate the presentation of this paper? Strong Accept (6) > *** Technical Quality: How would you rate the technical quality of this paper? Strong Accept (6) > *** Significance of Topic: Is this topic significant to ICST 2015? Strong Accept (6) > *** Originality: How would you rate the originality of the paper? Strong Accept (6)}, doi = {10.1109/ICSensT.2015.7438397}, interhash = {d253ae4aef866b58bfbf2d3a811b9c38}, intrahash = {5faf522e84482f866ecd70efafd6223e}, language = {english}, month = {December 8. -- 10.}, mrtnote = {robotair, peer}, owner = {Ordonez Müller}, pages = {235-240}, title = {On the Temperature Assignment Problem and the Use of Confidence Textures in the Creation of 3D Thermograms}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7438397}, year = 2015 } @inproceedings{ordonezmuller_2015, abstract = {In infrared thermography, the temperature measured by a thermal imaging device varies with the position and orientation of the camera with respect to an object's surface. 3D thermography has hence the potential to depict the surface temperature of objects with higher fidelity than conventional 2D thermography. So far the problem of assigning temperature values that correspond to the same surface but were obtained from different perspectives has been addressed by simply overwriting previous values with new values or by averaging the measured values according to a weighted averaging scheme. A new approach to map temperature values onto a 3D model is proposed that results in a more faithful representation of an object's real surface temperature in form of a 3D thermogram. Temperature values are assigned in real time to the 3D model taking into consideration the observation conditions under which they were measured. These conditions are also made available to the user in form of textured 3D models, where the texture color depicts the level of confidence associated to the thermal measurements. These textures provide useful additional information about the 3D thermogram. The new approach is especially helpful in the real-time generation of 3D thermograms as the user gets live feedback on the quality of the thermal model being generated.}, address = {Auckland, New Zealand}, author = {Ordonez Müller, Antonio and Kroll, A.}, booktitle = {9th International Conference on Sensing Technology (ICST 2015)}, interhash = {d253ae4aef866b58bfbf2d3a811b9c38}, intrahash = {5faf522e84482f866ecd70efafd6223e}, language = {english}, month = {December 8. - 10.}, mrtnote = {robotair, peer}, owner = {Ordonez Müller}, pages = {235-240}, review = {======= Review 1 ======= > *** Guidance for Authors: Please describe in detail main paper contributions, positive aspects, observed deficiencies, and suggestions on how to improve them: This is a well presented paper that stakes a clear claim for improved creation of 3D thermograms. It will be interesting in future to see the results of a comparison between the imaging system and independent (e.g. contact) temperature measurements of the same objects. > *** Overall Rating: Do you recommend acceptance or rejection? Accept (5) > *** Presentation: How would you rate the presentation of this paper? Strong Accept (6) > *** Technical Quality: How would you rate the technical quality of this paper? Accept (5) > *** Significance of Topic: Is this topic significant to ICST 2015? Accept (5) > *** Originality: How would you rate the originality of the paper? Accept (5) ======= Review 2 ======= > *** Guidance for Authors: Please describe in detail main paper contributions, positive aspects, observed deficiencies, and suggestions on how to improve them: Very interesting work. What is the resolution of such images? > *** Overall Rating: Do you recommend acceptance or rejection? Strong Acception (6) > *** Presentation: How would you rate the presentation of this paper? Strong Accept (6) > *** Technical Quality: How would you rate the technical quality of this paper? Strong Accept (6) > *** Significance of Topic: Is this topic significant to ICST 2015? Strong Accept (6) > *** Originality: How would you rate the originality of the paper? Strong Accept (6)}, title = {On the Temperature Assignment Problem and the Use of Confidence Textures in the Creation of 3D Thermograms}, url = {http://seat.massey.ac.nz/conferences/icst2015/}, year = 2015 } @book{gebhardt2007generative, address = {München}, author = {Gebhardt, Andreas}, edition = {3. Aufl.}, format = {book}, interhash = {f2186385beae46876d48f958f4175f89}, intrahash = {37ccfff2d0f3156269ece378705391f5}, isbn = {3446226664}, primaryauthor = {Gebhardt, Andreas}, publisher = {Hanser}, shortsubtitle = {: rapid prototyping - rapid tooling - rapid manufacturing}, shorttitle = {Generative Fertigungsverfahren : rapid prototyping - rapid tooling - rapid manufacturing}, subtitle = {rapid prototyping - rapid tooling - rapid manufacturing / Andreas Gebhardt}, title = {Generative Fertigungsverfahren : rapid prototyping - rapid tooling - rapid manufacturing}, titlestatement = {Andreas Gebhardt}, uniqueid = {HEB191623857}, url = {http://d-nb.info/974446157/04}, year = 2007 } @inproceedings{marinho:ecml2009, abstract = {This paper describes our approach to the ECML/PKDD Discovery Challenge 2009. Our approach is a pure statistical model taking no content information into account. It tries to find latent interactions between users, items and tags by factorizing the observed tagging data. The factorization model is learned by the Bayesian Personal Ranking method (BPR) which is inspired by a Bayesian analysis of personalized ranking with missing data. To prevent overfitting, we ensemble the models over several iterations and hyperparameters. Finally, we enhance the top-n lists by estimating how many tags to recommend.}, address = {Bled, Slovenia}, author = {Rendle, Steffen and Schmidt-Thieme, Lars}, booktitle = {ECML PKDD Discovery Challenge 2009 (DC09)}, editor = {Eisterlehner, Folke and Hotho, Andreas and Jäschke, Robert}, interhash = {8485850cde1a6b61971cac27fa867845}, intrahash = {ceed045a84e121fa37384f797306d30f}, issn = {1613-0073}, month = {September}, pages = {235--242}, publisher = {CEUR Workshop Proceedings}, title = {Factor Models for Tag Recommendation in BibSonomy}, url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-497/}, volume = 497, year = 2009 }