OpenCV
3.0.0-rc1
Open Source Computer Vision
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Classes | |
class | cv::bioinspired::Retina |
class which allows the Gipsa/Listic Labs model to be used with OpenCV. More... | |
class | cv::bioinspired::RetinaFastToneMapping |
a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV. More... | |
class | cv::bioinspired::TransientAreasSegmentationModule |
class which provides a transient/moving areas segmentation module More... | |
Enumerations | |
enum | { cv::bioinspired::RETINA_COLOR_RANDOM, cv::bioinspired::RETINA_COLOR_DIAGONAL, cv::bioinspired::RETINA_COLOR_BAYER } |
Functions | |
Ptr< RetinaFastToneMapping > | createRetinaFastToneMapping (Size inputSize) |
Ptr < TransientAreasSegmentationModule > | createTransientAreasSegmentationModule (Size inputSize) |
allocator More... | |
Ptr< Retina > | createRetina (Size inputSize) |
Ptr< Retina > | createRetina (Size inputSize, const bool colorMode, int colorSamplingMethod=RETINA_COLOR_BAYER, const bool useRetinaLogSampling=false, const double reductionFactor=1.0, const double samplingStrenght=10.0) |
Constructors from standardized interfaces : retreive a smart pointer to a Retina instance. More... | |
The module provides biological visual systems models (human visual system and others). It also provides derivated objects that take advantage of those bio-inspired models.
Bioinspired Module Retina Introduction
anonymous enum |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
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Constructors from standardized interfaces : retreive a smart pointer to a Retina instance.
inputSize | the input frame size |
colorMode | the chosen processing mode : with or without color processing |
colorSamplingMethod | specifies which kind of color sampling will be used :
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useRetinaLogSampling | activate retina log sampling, if true, the 2 following parameters can be used |
reductionFactor | only usefull if param useRetinaLogSampling=true, specifies the reduction factor of the output frame (as the center (fovea) is high resolution and corners can be underscaled, then a reduction of the output is allowed without precision leak |
samplingStrenght | only usefull if param useRetinaLogSampling=true, specifies the strenght of the log scale that is applied |
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allocator
inputSize | : size of the images input to segment (output will be the same size) |