Martin Lambers - Publications

2022

• M. Lambers. Parameterization-Independent Importance Sampling of Environment Maps. Tech. rep. Computer Graphics Group, University of Siegen, Aug. 2022. doi: 10.48550/arXiv.2208.10815.
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• K. Meenrattanakorn and M. Lambers. Real-Time Caustics Using Cascaded Image-Space Photon Tracing. In: Proc. Symp. Vision, Modeling, and Visualization (VMV). September 2022. doi: 10.2312/vmv.20221212.
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2021

• M. Lambers. “Selected Topics in Interactive Computer Graphics”. Habilitation thesis. University of Siegen, Jan. 2021.
• D.M.L. de Boer, F. Namdar, M. Lambers, and A. Cleeremans. “LIVE-streaming 3D Images: A Neuroscience Approach to Full-body Illusions”. In: Behavior Research Methods (Sept. 2021). doi: 10.3758/s13428-021-01659-6.
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2020

• M. Lambers. “Interactive Creation of Perceptually Uniform Color Maps”. In: Proc. EuroVis (Short Papers). May 2020. doi: 10.2312/evs.20201048.
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• A. Dimitrijević, P. Strobl, M. Lambers, A. Milosavljević, and D. Rančić. “Distortion Optimized Spherical Cube Mapping for Discrete Global Grid Systems”. In: Proc. Int. Conf. Information Society and Technology (ICIST). Mar. 2020, pp. 109–113.
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• M. Lambers. “Survey of Cube Mapping Methods in Interactive Computer Graphics”. In: The Visual Computer 36.5 (May 2020), pp. 1043–1051. doi: 10.1007/s00371-019-01708-4.
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  The PDF is a post-peer-review, pre-copyedit version of an article published in The Visual Computer. The final authenticated version is available online at: https://doi.org/10.1007/s00371-019-01708-4.

2019

• H. Steiner, H. Sommerhoff, D. Bulczak, N. Jung, M. Lambers, and A. Kolb. “Fast Motion Estimation for Field Sequential Imaging: Survey and Benchmark”. In: Image and Vision Computing 89 (2019), pp. 170–182. doi: 10.1016/j.imavis.2019.07.001.
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2018

• M. Lambers, H. Sommerhoff, and A. Kolb. “Realistic Lens Distortion Rendering”. In: Proc. Int. Conf. in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG). June 2018.
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• D. Presnov, M. Lambers, and A. Kolb. “Robust Range Camera Pose Estimation for Mobile Online Scene Reconstruction”. In: IEEE Sensors Journal 18.7 (2018), pp. 2903–2915. doi: 10.1109/JSEN.2018.2801878.
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• D. Bulczak, M. Lambers, and A. Kolb. “Quantified, Interactive Simulation of AMCW ToF Camera including Multipath Effects”. In: MDPI Sensors 18.1 (2018). doi: 10.3390/s18010013.
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2016

• M. Lambers. “Mappings between sphere, disc, and square”. In: Journal of Computer Graphics Techniques 5.2 (Apr. 2016), pp. 1–21.
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• M. Lambers. “Lowering the entry barrier for students programming Virtual Reality applications”. In: Eurographics - Education Papers. May 2016. doi: 10.2312/eged.20161024.
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• A. Dimitrijević, M. Lambers, and D. Rančić. “Comparison Of Spherical Cube Map Projections Used In Planet-Sized Terrain Rendering”. In: Facta Universitatis, Series: Mathematics and Informatics 31.2 (2016), pp. 259–297.
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2015

• M. Lambers, S. Hoberg, and A. Kolb. “Simulation of Time-of-Flight Sensors for Evaluation of Chip Layout Variants”. In: IEEE Sensors Journal 15.7 (July 2015), pp. 4019–4026. doi: 10.1109/JSEN.2015.2409816.
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2013

• R. Nair, S. Meister, M. Lambers, M. Balda, H. Hoffmann, A. Kolb, D. Kondermann, and B. Jähne. Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Ed. by M. Grzegorzek, C. Theobalt, R. Koch, and A. Kolb. Springer, 2013. Chap. Ground Truth for Evaluating Time of Flight Imaging, pp. 52–74. doi: 10.1007/978-3-642-44964-2_4.
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• M. Keller, D. Lefloch, M. Lambers, S. Izadi, T. Weyrich, and A. Kolb. “Real-time 3D Reconstruction in Dynamic Scenes using Point-based Fusion”. In: Proc. 3D Vision (3DV). June 2013, pp. 1–8. doi: 10.1109/3DV.2013.9.
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• J. Klein, D. Reuling, J. Grimm, A. Pfau, D. Lefloch, M. Lambers, and A. Kolb. User Interface for Volume Rendering in Virtual Reality Environments. Tech. rep. Computer Graphics Group, University of Siegen, Feb. 2013. doi: 10.48550/arXiv.1302.2024.
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2012

• M. Lambers and A. Kolb. “Ellipsoidal Cube Maps for Accurate Rendering of Planetary-Scale Terrain Data”. In: Proc. Pacific Graphics (Short Papers). Sept. 2012, pp. 5–10. doi: 10.2312/PE/PG/PG2012short/005-010.
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  The PDF is a preprint version, the definitive version is available at https://doi.org/10.2312/PE/PG/PG2012short/005-010.
• X. Jiang, M. Lambers, and H. Bunke. “Structural Performance Evaluation of Curvilinear Structure Detection Algorithms with Application to Retinal Vessel Segmentation”. In: Pattern Recognition Letters 33.15 (Nov. 2012), pp. 2048–2056. doi: 10.1016/j.patrec.2012.05.008.
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• S. Duchêne, M. Lambers, and F. Devernay. “A stereoscopic movie player with real-time content adaptation to the display geometry”. In: Stereoscopic Displays & Applications XXIII. Vol. 8288. Proc. SPIE. Jan. 2012. doi: 10.1117/12.908741.
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2011

• M. Lambers. “Interactive Visualization of Remote Sensing Data”. PhD thesis. University of Siegen, July 2011.
• X. Jiang, M. Lambers, and H. Bunke. “Structure-Based Evaluation Methodology for Curvilinear Structure Detection Algorithms”. In: Proc. IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition. Lecture Notes in Computer Science. Springer, 2011, pp. 305–314. doi: 10.1007/978-3-642-20844-7_31.
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2010

• M. Lambers and A. Kolb. “Dynamic Terrain Rendering”. In: 3D Research 1.4 (2010), pp. 1–8. doi: 10.1007/3DRes.04(2010)01.
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• M. Lambers and A. Kolb. “Visual Assistance Tools for Interactive Visualization of Remote Sensing Data”. In: Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS). July 2010, pp. 4745–4748. doi: 10.1109/IGARSS.2010.5653728.
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2009

• M. Lambers and A. Kolb. “GPU-Based Framework for Distributed Interactive 3D Visualization of Multimodal Remote Sensing Data”. In: Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS). Vol. 4. July 2009, pp. IV-57–IV-60. doi: 10.1109/IGARSS.2009.5417596.
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• A. Kolb, M. Lambers, S. Todt, N. Cuntz, and C. Rezk-Salama. Immersive Rear Projection on Curved Screens. IEEE Virtual Reality (Poster-Session). Mar. 2009. doi: 10.1109/VR.2009.4811057.
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2008

• M. Lambers and A. Kolb. “Adaptive Dynamic Range Reduction for SAR Images”. In: Proc. European Conf. on Synthetic Aperture Radar (EUSAR). Vol. 3. June 2008, pp. 371–374.
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• M. Lindner, M. Lambers, and A. Kolb. “Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images”. In: Int. J. of Intelligent Systems Technologies and Applications 5.3-4 (2008), pp. 344–354. doi: 10.1504/IJISTA.2008.021297.
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• M. Lambers, H. Nies, and A. Kolb. “Interactive Dynamic Range Reduction for SAR Images”. In: IEEE Geoscience and Remote Sensing Letters 5.3 (July 2008), pp. 507–511. doi: 10.1109/LGRS.2008.922732.
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• M. Lambers and A. Kolb. “Automatic Point Target Detection For Interactive Visual Analysis of SAR Images”. In: Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2. July 2008, pp. II-903–II-906. doi: 10.1109/IGARSS.2008.4779141.
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2007

• M. Lambers, A. Kolb, H. Nies, and M. Kalkuhl. “GPU-based Framework for Interactive Visualization of SAR Data”. In: Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS). July 2007, pp. 4076–4079. doi: 10.1109/IGARSS.2007.4423745.
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• M. Kalkuhl, P. Droste, W. Wiechert, H. Nies, O. Loffeld, and M. Lambers. “Parallel Computation of Synthetic SAR Raw Data”. In: Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS). July 2007, pp. 536–539. doi: 10.1109/IGARSS.2007.4422849.
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2006

• X. Jiang and M. Lambers. “Synthesis of Stereoscopic 3D Videos by Limited Resources of Range Images”. In: Proc. Int. Conf. on Pattern Recognition (ICPR). Aug. 2006, pp. 1220–1224. doi: 10.1109/ICPR.2006.1101.
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• K. Rothaus, X. Jiang, and M. Lambers. “Comparison of Methods for Hyperspherical Data Averaging and Parameter Estimation”. In: Proc. Int. Conf. on Pattern Recognition (ICPR). Aug. 2006, pp. 395–399. doi: 10.1109/ICPR.2006.391.
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• X. Jiang and M. Lambers. “DIBR-Based 3D Videos Using Non-Video-Rate Range Image Stream”. In: Proc. IEEE Int. Conf. on Multimedia & Expo (ICME). July 2006, pp. 1873–1876. doi: 10.1109/ICME.2006.262920.
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2005

• M. Lambers. “Synthesis of 3D Videos”. Master’s thesis. University of Münster, Dec. 2005.