@article{SchollPalmLehmannetal.1998, author = {Scholl, Ingrid and Palm, Christoph and Lehmann, Thomas and Spitzer, Klaus}, title = {Nutzung eines Farbkonstanz-Algorithmus zur Entfernung von Glanzlichtern in laryngoskopischen Bildern. Palm, Christoph; Scholl, Ingrid, Lehmann, Thomas; Spitzer, Klaus.}, series = {Methoden der Medizinischen Informatik, Biometrie und Epidemiologie in der modernen Informationsgesellschaft}, journal = {Methoden der Medizinischen Informatik, Biometrie und Epidemiologie in der modernen Informationsgesellschaft}, publisher = {MVV, Medien und Medizin}, address = {M{\"u}nchen}, isbn = {3-8208-1335-7}, pages = {300 -- 303}, year = {1998}, language = {de} } @article{SchollPalmLehmannetal.1998, author = {Scholl, Ingrid and Palm, Christoph and Lehmann, Thomas and Spitzer, Klaus}, title = {Quantitative Farbmessung in laryngoskopischen Bildern. Palm, C; Scholl, I; Lehmann, TM; Spitzer, K.}, series = {Bildverarbeitung f{\"u}r die Medizin 1998. Hrsg.: Thomas Lehmann ...}, journal = {Bildverarbeitung f{\"u}r die Medizin 1998. Hrsg.: Thomas Lehmann ...}, publisher = {Springer}, address = {Berlin}, isbn = {3-540-63885-7}, pages = {412 -- 416}, year = {1998}, language = {en} } @article{SchmittSchollCaietal.2010, author = {Schmitt, Robert and Scholl, Ingrid and Cai, Yu and Xia, Ji and Dziwoki, Paul and Harding, Martin and Pavim, Alberto}, title = {Machine Vision System for Inline Inspection in Carbide Insert Production}, series = {Bildverarbeitung f{\"u}r die Medizin 2010 : Algorithmen, Systeme, Anwendungen ; Proceedings des Workshops vom 14. bis 16. M{\"a}rz in Aachen / Thomas M. Deserno ... (Hrsg.)}, journal = {Bildverarbeitung f{\"u}r die Medizin 2010 : Algorithmen, Systeme, Anwendungen ; Proceedings des Workshops vom 14. bis 16. M{\"a}rz in Aachen / Thomas M. Deserno ... (Hrsg.)}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-642-11967-5}, pages = {339 -- 342}, year = {2010}, language = {de} } @article{SchollSchubertZieneretal.2010, author = {Scholl, Ingrid and Schubert, N. and Ziener, P. and Pietrzyk, U.}, title = {GPU-basiertes Volumenrendering von multimodalen medizinischen Bilddaten in Echtzeit}, series = {Bildverarbeitung f{\"u}r die Medizin 2010 : Algorithmen, Systeme, Anwendungen ; Proceedings des Workshops vom 14. bis 16. M{\"a}rz in Aachen / Thomas M. Deserno ... (Hrsg.)}, journal = {Bildverarbeitung f{\"u}r die Medizin 2010 : Algorithmen, Systeme, Anwendungen ; Proceedings des Workshops vom 14. bis 16. M{\"a}rz in Aachen / Thomas M. Deserno ... (Hrsg.)}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-642-11967-5}, pages = {400 -- 404}, year = {2010}, language = {de} } @article{SchubertScholl2011, author = {Schubert, Nicole and Scholl, Ingrid}, title = {Comparing GPU-based multi-volume ray casting techniques}, series = {Computer Science - Research and Development}, volume = {26}, journal = {Computer Science - Research and Development}, number = {12}, publisher = {Springer}, address = {Berlin}, isbn = {1865-2042}, pages = {39 -- 50}, year = {2011}, language = {en} } @article{SchollAachDesernoetal.2011, author = {Scholl, Ingrid and Aach, Til and Deserno, Thomas M. and Kuhlen, Torsten}, title = {Challenges of medical image processing}, series = {Computer Science - Research and Development}, volume = {26}, journal = {Computer Science - Research and Development}, number = {1-2}, publisher = {Springer}, address = {Berlin}, isbn = {1865-2042}, pages = {5 -- 13}, year = {2011}, language = {en} } @article{DesernoAachAmuntsetal.2011, author = {Deserno, Thomas M. and Aach, Til and Amunts, Katrin and Hillen, Walter and Kuhlen, Torsten and Scholl, Ingrid}, title = {Advances in medical image processing : A special Issue on the Workshop in Aachen, Germany, March 2010}, series = {Computer Science - Research and Development. 26 (2011), H. 1-2}, journal = {Computer Science - Research and Development. 26 (2011), H. 1-2}, publisher = {springer}, address = {Berlin}, isbn = {1865-2042}, pages = {1 -- 3}, year = {2011}, language = {en} } @article{AlhwarinFerreinScholl2014, author = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid}, title = {IR stereo kinect: improving depth images by combining structured light with IR stereo}, pages = {1 -- 9}, year = {2014}, language = {en} } @inproceedings{NeumannFerreinKallweitetal.2014, author = {Neumann, Tobias and Ferrein, Alexander and Kallweit, Stephan and Scholl, Ingrid}, title = {Towards a mobile mapping robot for underground mines}, series = {7th Conference of Robotics and Mechatronics : RobMech 2014 : 27th and 28th Nov. 2014, Cape Town}, booktitle = {7th Conference of Robotics and Mechatronics : RobMech 2014 : 27th and 28th Nov. 2014, Cape Town}, organization = {Conference of Robotics and Mechatronics <7, 2014, Cape Town, South Africa>}, pages = {1 -- 6}, year = {2014}, language = {en} } @incollection{AlhwarinFerreinScholl2014, author = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid}, title = {IR stereo kinect: improving depth images by combining structured light with IR stereo}, series = {PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862)}, booktitle = {PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862)}, publisher = {Springer}, address = {M{\"u}nchen}, isbn = {978-3-319-13559-5 (Print) ; 978-3-319-13560-1 (E-Book)}, doi = {10.1007/978-3-319-13560-1_33}, pages = {409 -- 421}, year = {2014}, abstract = {RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. While these sensors are great devices they have some limitations. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. If more than one RGB-D camera is used the IR patterns interfere with each other. This results in a massive loss of depth information. In this paper, we present a simple and powerful method to overcome these problems. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The resulting disparity map is then fused with the depth map offered by the RGB-D sensor to fill the regions and the holes that appear because of interference, or due to transparent or reflective objects. Our results show that the density of depth information is increased especially for transparent, shiny or matte objects.}, language = {en} }