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检索条件"机构=FGAN-Research Institute for Optronics and Pattern Recognition"
101 条 记 录,以下是11-20 订阅
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A new triangulation-based method for disparity estimation in image sequences
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16th Scandinavian Conference on Image Analysis, SCIA 2009
作者: Bulatov, Dimitri Wernerus, Peter Lang, Stefan Research Institute for Optronics and Pattern Recognition Gutleuthausstr. 1 76275 Ettlingen Germany
We give a simple and efficient algorithm for approximating computation of disparities in a pair of rectified frames of an image sequence. The algorithm consists of rendering a sparse set of correspondences, which are ... 详细信息
来源: 评论
Femtosecond lasers for countermeasure applications
Femtosecond lasers for countermeasure applications
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Technologies for Optical Countermeasures VI
作者: Franssen, G.C. Schleijpen, H.M.A. Van Den Heuvel, J.C. Buersing, H. Eberle, B. Walter, D. TNO Defence Security and Safety Oude Waalsdorperweg 63 Hague Netherlands FGAN Reseach Institute for Optronics and Pattern Recognition D-76275 Ettlingen Germany
In recent years, much advance in the field of high-power femtosecond laser technology has been made. The high pulse power of femtosecond laser systems leads to various interesting phenomena, such as a very high power ... 详细信息
来源: 评论
Building extraction in urban scenes from high-resolution InSAR data and optical imagery
Building extraction in urban scenes from high-resolution InS...
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Urban Remote Sensing Joint Event
作者: Jan Dirk Wegner Uwe Soergel Antje Thiele IPI Institute of Photogrammetry and GeoInformation Leibniz Universtät Hannover Hanover Germany FGAN FOM Research Institute for Optmnics and Pattern Recognition Ettlingen Germany
Modern space borne SAR sensors provide geometric resolution of one meter, airborne systems even higher. In data of this kind many features of urban objects become visible, which were beyond the scope of radar remote s... 详细信息
来源: 评论
Metric reconstruction from video sequences
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pattern recognition and Image Analysis 2008年 第2期18卷 300-308页
作者: Bulatov, D. FGAN-FOM Research Institute for Optronics and Pattern Recognition Gutleuthausstr. 1 76275 Ettlingen Germany
This paper is dedicated to modifying some steps needed to generate a dense 3D-reconstruction from a video stream. Since critical motions are common in the majority of practical situations, care was taken in our work t... 详细信息
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Bayesian hypothesis generation and verification
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pattern recognition and Image Analysis 2008年 第2期18卷 269-274页
作者: Armbruster, W. FGAN-FOM Research Institute for Optronics and Pattern Recognition Gutleuthausstr. 1 76275 Ettlingen Germany
Regarding computer vision as optimal decision making under uncertainty, a new optimization paradigm is introduced, namely, maximizing the product of the likelihood function and the posterior distribution on scene hypo... 详细信息
来源: 评论
Synchronised data acquisition for sensor data fusion in airborne surveying
Synchronised data acquisition for sensor data fusion in airb...
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11th International Conference on Information Fusion, FUSION 2008
作者: Schatz, Volker FGAN-FOM Research Institute for Optronics and Pattern Recognition Ettlingen Germany
An existing facility for data acquisition in aerial surveys is presented. It contains a laser radar, an infrared camera and a video camera. The system supports synchronisation of sensor data, even when the sensor does... 详细信息
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Automatic generation of 3D models from real multisensor data
Automatic generation of 3D models from real multisensor data
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11th International Conference on Information Fusion, FUSION 2008
作者: Witte, Carmen Armbruster, Walter Jäger, Klaus FGAN-FOM Research Institute for Optronics and Pattern Recognition Ettlingen Germany
The demand for the prevention of collateral damages in military operations requires methods of robust automatic identification of targets like vehicles especially during target approach. This requires the development ... 详细信息
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Towards Euclidean reconstruction from video sequences
Towards Euclidean reconstruction from video sequences
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3rd International Conference on Computer Vision Theory and Applications
作者: Bulatov, Dimitri Research Institute for Optronics and Pattern Recognition Germany
This paper presents two algorithms needed to perform a dense 3D-reconstruction from video streams recorded with uncalibrated cameras. Our algorithm for camera self-calibration makes extensive use of the constant focal... 详细信息
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Online annotation of airborne surveillance and reconnaissance videos
Online annotation of airborne surveillance and reconnaissanc...
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11th International Conference on Information Fusion, FUSION 2008
作者: Solbrig, Peter Bulatov, Dimitri Meidow, Jochen Wernerus, Peter Thönnessen, Ulrich FOM - Research Institute for Optronics and Pattern Recognition FGAN - Research Establishment for Applied Science Ettlingen Germany
A useful enrichment of videos captured by unmanned aerial vehicles (UAVs) is the annotation of image data or determining coordinates for objects in the video. This requires georeferencing of the video frames. For surv... 详细信息
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A new concept for SAR image quality assessment realizing bar patterns in SAR images  7
A new concept for SAR image quality assessment realizing bar...
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7th European Conference on Synthetic Aperture Radar, EUSAR 2008
作者: Schulz, Karsten Thiele, Antje Thoennessen, Ulrich Ritter, Thomas Brenner, A.R. FGAN-FOM Research Institute for Optronics and Pattern Recognition Germany FGAN-FHR Research Institute for High Frequency Physics and Radar Techniques Germany
Image quality assessment of SAR images is usually done by evaluating the signal of active or passive corner reflectors, as this signal is very close to the system point response. For Electro-Optical (EO) sensors bar p... 详细信息
来源: 评论