Difference between revisions of "Function:GoodFeaturesToTrack"
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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 | 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=== | ====Function==== | ||
{| | {| | ||
|style="font-size: | |style="font-size:100%;"| | ||
<syntaxhighlight lang="cpp"> | <syntaxhighlight lang="cpp"> | ||
CuviStatus goodFeaturesToTrack(const CuviImage& src, | CuviStatus goodFeaturesToTrack(const CuviImage& src, | ||
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|} | |} | ||
===Parameters=== | ====Parameters==== | ||
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{|class="wikitable" | {|class="wikitable" | ||
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| const CuviStream& | | const CuviStream& | ||
| GPU stream ID for execution | | GPU stream ID for execution | ||
|} | |||
|} | |} | ||
====Image Type Support==== | |||
===Image Type Support=== | {| | ||
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{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
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| CuviPointValue2D<Cuvi32f,Cuvi32f> | | CuviPointValue2D<Cuvi32f,Cuvi32f> | ||
|} | |} | ||
|} | |} | ||
====Samples=== | |||
[[File:Window.jpg|none|frame|Input Image]] | |||
<br/> | |||
[[File:Features.jpg|none|frame| Selected Features]] | |||
<br/> | |||
====Example==== | |||
===Example=== | |||
{| | {| | ||
|style="font-size: | |style="font-size:100%;"| | ||
<syntaxhighlight lang="cpp"> | <syntaxhighlight lang="cpp"> | ||
Latest revision as of 22:13, 18 October 2022
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
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Image Type Support
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=Samples
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Error creating thumbnail: Unable to save thumbnail to destination
Example
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