Difference between revisions of "Function:GoodFeaturesToTrack"
From CUVI Wiki
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Revision as of 14:54, 26 April 2012
Detecting interesting parts of an image is an important step in most computer vision applications. Itserves as the first low-level processing step in applications like image segmentation, object recognition, object tracking and motion estimation. CUVI offers feature detectors including KLT, Harris and Peter in a single function
Function
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Parameters
Name | Type | Description |
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srcImage | CuviImage* | Input 8 bit Gray Scale Image. |
roi | CuviROI | Desired region of interest of input image. The function will return features from only that region of the image |
outputFeatures | CuviPointValue2D** | Output feature list that contains the coordinates & values of features/corners. |
maxFeatures | Cuvi32s* | Desired number of features. If the total features detected in the image or ROI are less than maxFeatures its value is updated to that number |
criteria | CuviFeaturesCriteria | A structure containing various parameters that affect feature selection behavior |
stream | CuviStream* | GPU stream ID for execution |
Image Type Support
Input | Output |
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8uC1 | CuviPointValue2D |
Samples
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Example
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