Title:
CameracaUbraifonformonocularvision
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Description: The camera calibration isoneofmostimportantresearch ifeldsin computervision．In orderto solve the questions of
imprecision，strutting complex model，non-orhustness in the camera calibration．In the paper，a algoirthm of camera calibration
based on BP neuralnetwork and genetic algoirthm isproposed according as characteirstic ofneuralnetwork，genetic algoirthm
and camera claibration．n1e algorithm makesfulluse ofglobalnumericaloptimization characteirsticin genetic algorithm and easily
converging to local minimum in neural newt ork．On the one hand，itdoes not need to build the complex camera imaging model，
on hteotherhand．itisimprovingthe precision and robustnessin the cma era calibration
To Search:
- [333] - Images from the image coordinate system
- [ag2] - GA during the search solution space befo
- [twoview_reconstruction] - Based on three-dimensional reconstructio
- [Tools] - Genetic algorithm toolbox, so that! ! !
- [bd] - Have the checkerboard lattice images mon
- [NN] - BPNNsimiulation
- [huzhanyi_Lecture] - Camera calibration and three-dimensional
- [singleviewdetect] - Optics Monocular distance on the classic
File list (Check if you may need any files):
CameracaUbraifonformonocularvision.pdf
