Function:GoodFeaturesToTrack - Revision history

Jawad: /* Example */

2022-10-18T14:13:44Z

Example

← Older revision		Revision as of 14:13, 18 October 2022
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	<br/>		<br/>

	===Example===		====Example====
	{\|		{\|
	\|style="font-size:~~150~~%;"\|		\|style="font-size:100%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">

Jawad: /* Samples */

2022-10-18T14:13:36Z

Samples

← Older revision		Revision as of 14:13, 18 October 2022
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	\|}		\|}

	===Samples===		====Samples===
	{\|		[[File:Window.jpg\|none\|frame\|Input Image]]
	\|-		<br/>
	\|[[File:Window.jpg\|frame\|Input Image]]		[[File:Features.jpg\|none\|frame\| Selected Features]]
	\|[[File:Features.jpg\|frame\| Selected Features]]		<br/>
	\|}



	===Example===		===Example===

Jawad: /* Image Type Support */

2022-10-18T14:13:11Z

Image Type Support

← Older revision		Revision as of 14:13, 18 October 2022
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	\|}		\|}

	===Image Type Support===		====Image Type Support====
			{\|
			\|style="font-size:75%;"\|
	{\| class="wikitable"		{\| class="wikitable"
	\|-		\|-
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	\| CuviPointValue2D<Cuvi32f,Cuvi32f>		\| CuviPointValue2D<Cuvi32f,Cuvi32f>
	\|}		\|}
			\|}


	===Samples===		===Samples===

Jawad: /* Parameters */

2022-10-18T14:13:02Z

Parameters

← Older revision		Revision as of 14:13, 18 October 2022
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	\|}		\|}

	===Parameters===		====Parameters====
			{\|
			\|style="font-size:75%;"\|
	{\|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===

Jawad: /* Function */

2022-10-18T14:12:39Z

Function

← Older revision		Revision as of 14:12, 18 October 2022
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	__NOTOC__		__NOTOC__
	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:~~150~~%;"\|		\|style="font-size:100%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">
	CuviStatus goodFeaturesToTrack(const CuviImage& src,		CuviStatus goodFeaturesToTrack(const CuviImage& src,

Jawad at 12:03, 18 April 2013

2013-04-18T12:03:33Z

← Older revision		Revision as of 12:03, 18 April 2013
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	\|style="font-size:150%;"\|		\|style="font-size:150%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">
	CuviStatus goodFeaturesToTrack(CuviImage* srcImage,		CuviStatus goodFeaturesToTrack(const CuviImage& src,
	~~CuviROI~~ roi,		const CuviRect& roi,
	CuviPointValue2D** outputFeatures,		CuviPointValue2D<Cuvi32f,Cuvi32f>*& output,
	Cuvi32s* maxFeatures,		Cuvi32s& maxFeatures,
	CuviFeaturesCriteria criteria,		const CuviFeaturesCriteria criteria = CuviFeaturesCriteria(),
	CuviStream* stream = ~~NULL~~);		const CuviStream& stream = CuviStream());
	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}
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	! Description		! Description
	\|-		\|-
	\| ~~srcImage~~		\| src
	\| CuviImage*		\| const CuviImage&
	\| Input 8 bit Gray Scale Image.		\| Input 8 bit Gray Scale Image.
	\|-		\|-
	\| roi		\| roi
	\| ~~CuviROI~~		\| const CuviRect&
	\| Desired region of interest of input image. The function will return features from only that region of the image		\| Desired region of interest of input image. The function will return features from only that region of the image
	\|-		\|-
	\| ~~outputFeatures~~		\| output
	\| CuviPointValue2D**		\| CuviPointValue2D<Cuvi32f,Cuvi32f>*&
	\| Output feature list that contains the coordinates & values of features/corners.		\| Output feature list that contains the coordinates & values of features/corners.
	\|-		\|-
	\| maxFeatures		\| maxFeatures
	\| Cuvi32s*		\| 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		\| 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		\| criteria
	\| CuviFeaturesCriteria		\| const CuviFeaturesCriteria
	\| A structure containing various parameters that affect feature selection behavior		\| A structure containing various parameters that affect feature selection behavior
	\|-		\|-
	\| stream		\| stream
	\| CuviStream*		\| const CuviStream&
	\| GPU stream ID for execution		\| GPU stream ID for execution

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	\|-		\|-
	\| 8uC1		\| 8uC1
	\| CuviPointValue2D		\| CuviPointValue2D<Cuvi32f,Cuvi32f>
	\|}		\|}

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	//Create an 8-bit Grays-scale CuviImage		//Create an 8-bit Grays-scale CuviImage
	CuviImage *gpu_image = ~~new CuviImage~~(~~size~~,~~img->depth,img->nChannels~~);		CuviImage gpu_image = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);

	~~//Populate the Image~~		CuviPointValue2D<Cuvi32f,Cuvi32f> *features;
	~~gpu_image->upload(img->imageData~~,~~img-~~>~~widthStep);~~

	~~CuviPointValue2D~~ *features;

	//Desired number of features		//Desired number of features
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	//Selecting complete image for the process		//Selecting complete image for the process
	~~CuviROI~~ roi ~~= cuviROI~~(0,0,img->width,img->height);		CuviRect roi(0,0,img.width(),img.height());

	//Setting Feature selection parameters		//Setting Feature selection parameters
	CuviFeaturesCriteria criteria ~~= cuviFeaturesCriteria~~(CUVI_FEATURES_HARRIS_PETER,0.006f,15,3,-2.0f);		CuviFeaturesCriteria criteria(CUVI_FEATURES_HARRIS_PETER,0.006f,15,3,-2.0f);

	//Calling GoodFeaturesToTrack		//Calling GoodFeaturesToTrack
	cuvi::computerVision::goodFeaturesToTrack(&gimg,roi,&features,&featureCount,criteria);		cuvi::computerVision::goodFeaturesToTrack(gimg,roi,features,featureCount,criteria);

	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}

Jawad at 06:59, 26 April 2012

2012-04-26T06:59:19Z

← Older revision		Revision as of 06:59, 26 April 2012
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	\|style="font-size:150%;"\|		\|style="font-size:150%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">
	CuviStatus goodFeaturesToTrack(CuviImage* srcImage		CuviStatus goodFeaturesToTrack(CuviImage* srcImage,
	CuviROI roi,		CuviROI roi,
	CuviPointValue2D** outputFeatures,		CuviPointValue2D** outputFeatures,

Jawad at 06:54, 26 April 2012

2012-04-26T06:54:44Z

← Older revision		Revision as of 06:54, 26 April 2012
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	\| CuviPointValue2D		\| CuviPointValue2D
	\|}		\|}



			===Samples===
			{\|
			\|-
			\|[[File:Window.jpg\|frame\|Input Image]]
			\|[[File:Features.jpg\|frame\| Selected Features]]
			\|}

Jawad at 12:21, 25 April 2012

2012-04-25T12:21:38Z

← Older revision		Revision as of 12:21, 25 April 2012
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	//Populate the Image		//Populate the Image
	gpu_image->upload(img->imageData,img->widthStep);		gpu_image->upload(img->imageData,img->widthStep);


	CuviPointValue2D *features;		CuviPointValue2D *features;

	// Desired number of features		//Desired number of features
	int featureCount = 100;		int featureCount = 100;

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	CuviROI roi = cuviROI(0,0,img->width,img->height);		CuviROI roi = cuviROI(0,0,img->width,img->height);

	// Setting Feature selection parameters		//Setting Feature selection parameters
	CuviFeaturesCriteria criteria = cuviFeaturesCriteria(CUVI_FEATURES_HARRIS_PETER,0.006f,15,3,-2.0f);		CuviFeaturesCriteria criteria = cuviFeaturesCriteria(CUVI_FEATURES_HARRIS_PETER,0.006f,15,3,-2.0f);

	//~~calling~~ GoodFeaturesToTrack		//Calling GoodFeaturesToTrack
	cuvi::computerVision::goodFeaturesToTrack(&gimg,roi,&features,&featureCount,criteria);		cuvi::computerVision::goodFeaturesToTrack(&gimg,roi,&features,&featureCount,criteria);

	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}

Jawad at 12:21, 25 April 2012

2012-04-25T12:21:07Z

@@ Line 57: / Line 57: @@
 | 8uC1
 | CuviPointValue2D
 |}