文件名称:heiv_src
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- 上传时间:2008-10-13
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文件大小:75.83kb
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C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision
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下载文件列表
heiv.cpp
heiv.dsp
heiv.dsw
heiv.ncb
heiv.opt
heiv.plg
Readme.txt
src/
src/BgDefaults.h
src/BgFundamentalHeiv.cpp
src/BgFundamentalHeiv.h
src/BgGlobalFc.cpp
src/BgHeiv.cpp
src/BgHeiv.h
src/BgLinearAlg.cpp
src/BgLinearAlg.h
src/BgMatrix.cpp
src/BgMatrix.h
src/BgTrifocalTensor.cpp
src/BgTrifocalTensor.h
src/BgVector.cpp
src/BgVector.h
test_data/
test_data/ellipse_test.txt
test_data/fundamental_test.txt
test_data/linear_test.txt
test_data/ttensor_test.txt
heiv.dsp
heiv.dsw
heiv.ncb
heiv.opt
heiv.plg
Readme.txt
src/
src/BgDefaults.h
src/BgFundamentalHeiv.cpp
src/BgFundamentalHeiv.h
src/BgGlobalFc.cpp
src/BgHeiv.cpp
src/BgHeiv.h
src/BgLinearAlg.cpp
src/BgLinearAlg.h
src/BgMatrix.cpp
src/BgMatrix.h
src/BgTrifocalTensor.cpp
src/BgTrifocalTensor.h
src/BgVector.cpp
src/BgVector.h
test_data/
test_data/ellipse_test.txt
test_data/fundamental_test.txt
test_data/linear_test.txt
test_data/ttensor_test.txt
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