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![]() | Document Date: 2007-05-01 12:13:36Open Document File Size: 20,31 MBShare Result on FacebookCityPhiladelphia / Springer-Verlag / Nayar / Boston / /CompanyCanon / Neural Information Processing Systems / Artificial Intelligence Laboratory / Microsoft / /Facilityedo Durand William T. Freeman Massachusetts Institute of Technology / Building Blocks / McGill University / /IndustryTermminimal energy labeling / local energy estimate / local energy term / random search / energy minimization / then search / depth estimation algorithms / photographic applications / coded aperture imaging / medical imaging / aperture imaging / stereo correspondence algorithms / approximate energy minimization / Camera systems / real aperture imaging approach / classical stereo vision algorithms / generalized depth estimation algorithm / energy term / passive illumination depth reconstruction algorithms / incoherent passive-ranging systems / imaging / iteration solution / energy / /OrganizationOptical Society of America / Stanford University / McGill University / Massachusetts Institute of Technology / IEEE Computer Society / Pattern Analysis and Machine Intelligence / /PersonE IJKHOUT / V / NGA NEGI / Ted Adelson / Rob Fergus FrĀ“edo Durand / F IELD / /PositionD. J. / /ProgrammingLanguageC / ML / /ProvinceOrStatePennsylvania / S. K. / New York / /PublishedMediumIEEE Transactions on Pattern Analysis and Machine Intelligence / Optics Letters / ACM Transactions on Graphics / /Technologylaser / dense two-frame stereo correspondence algorithms / classical stereo vision algorithms / Remote Sensing / 3-D / depth estimation algorithms / Conjugate Gradient algorithm / machine learning / generalized depth estimation algorithm / Simulation / passive illumination depth reconstruction algorithms / medical imaging / /URLhttp /SocialTag |