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Epipolar geometry
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#	Item
141	Toward a Stratification of Helmholtz Stereopsis Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2003-08-06 19:28:43 3D imaging Computer vision Transformation Stereoscopy Vision Stereopsis Photometric stereo Homography Epipolar geometry Geometry Imaging Optics
142	Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis Todd Zickler Division of Engineering and Applied Sciences, Harvard University [removed] Abstract Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2006-04-03 18:12:41 Remote sensing Radiometry Computer vision Image processing Epipolar geometry Fundamental matrix Stereoscopy Bidirectional reflectance distribution function Maximally stable extremal regions Optics Imaging Measurement
143	Appears in Proc. ICCV[removed]Binocular Helmholtz Stereopsis Todd E. Zickler† Jeffrey Ho‡ Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2005-10-05 21:50:40 Stereoscopy 3D imaging Vision Epipolar geometry Image processing Stereopsis Image rectification Bidirectional reflectance distribution function Phong reflection model Imaging Optics Computer graphics
144	Dense reconstruction of underwater scenes from monocular sequences of images Yuri Rzhanov and Han Hu Dense Euclidean reconstruction of 3D scenes still is a challenging task despite significant progress in the last 10 yea Add to Reading List Source URL: ccom.unh.edu Language: English - Date: 2013-12-04 11:27:39 Cartography Geodesy Photogrammetry Surveying Trifocal tensor Bundle adjustment Trifocal Epipolar geometry Tensor Geometry Computer vision Measurement
145	A ROBUST QUASI-DENSE MATCHING APPROACH FOR UNDERWATER IMAGES Han Hu1, Graduate student Yuri Rzhanov1, Professor Thierry Boyer2 1 Center for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824 Add to Reading List Source URL: ccom.unh.edu Language: English - Date: 2014-06-12 09:51:30 Optics Object recognition Fundamental matrix Photogrammetry Epipolar geometry Scale-invariant feature transform Maximally stable extremal regions Computer vision Vision Imaging
146	Binocular Helmholtz Stereopsis Todd E. ZicklerÝ Jeffrey HoÞ David J. KriegmanÞ Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2008-10-11 12:20:28 Vision 3D imaging Epipolar geometry Stereopsis Bidirectional reflectance distribution function Autostereogram Fundamental matrix Camera auto-calibration Imaging Optics Stereoscopy
147	Microsoft PowerPoint - binet.ppt [Compatibility Mode] Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2009-10-29 14:18:08 California Institute of Technology Image resolution Technology Academia Epipolar geometry Image processing QuickBird
148	The evolution of Vexcel’s Camera Calibration and Image Processing Technology JACIE 2011 Boulder, CO Michael Gruber Alexander Wiechert Add to Reading List Source URL: calval.cr.usgs.gov Language: English - Date: 2011-04-13 11:44:50 Standards Radiometric calibration Image stitching Epipolar geometry Imaging Science Calibration Measurement Metrology
149	Microsoft PowerPoint - 3D-Imaging-Review-04 Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2014-06-19 18:36:11 Photogrammetry Surveying Reprojection error 3D modeling Epipolar geometry Canesta Measurement Vision Dimension Bundle adjustment Cartography Geodesy
150	What’s New Geomatica 2013 has been designed to increase productivity for all Geospatial professionals. This release of Geomatica is based on Geomatica 2012, which put the product at the top of the geospatial software Add to Reading List Source URL: www.gistec.com Language: English - Date: 2013-06-03 09:16:03 Epipolar geometry Computing PCI Geomatica Computer buses Computer hardware Conventional PCI

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