Method and device for processing graphics data in graphics processing unit
AssigneeSamsung Electronics Co., Ltd.
InventorsAnkur Deshwal, Somya Singhal, Keshavan Varadarajan, Soma Kohli
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Abstract
Provide are a methods and devices for processing graphics data in a graphics processing unit (GPU). The method of processing graphics data includes receiving, at a processor, a difference of Gaussian (DOG) layer of an image, detecting, from the received DOG layer, a candidate DOG layer of the image as an intermediate layer, detecting at least one extreme point by comparing values of the candidate DOG layer with values of a previous DOG layer and a next DOG layer, and storing the at least one extreme point in a buffer.
Claims16
A method of processing graphics data by executing multiple pipeline passes of a processor to detect a feature of an image, the method comprising:
- receiving, at a processor, a difference of Gaussian (DOG) layer of the image, the DOG layer generated by pixel subtraction of adjacent scale space layers of the image from each other;
- detecting, from the received DOG layer, a candidate DOG layer of the image as an intermediate layer;
- detecting at least one extreme point of the image by comparing corresponding pixel values of the candidate DOG layer with pixel values of a previous DOG layer and a next DOG layer;
- and
- storing the at least one extreme point of the feature of the image in a buffer;
- and
- wherein the multiple pipeline passes of the processor include a first pass for generating the DOG layer of the image, a second pipeline pass for extrema detection, and a third pipeline pass for performing key point localization.
A device for processing data of extreme points, the device comprising:
- a graphics processing unit (GPU) configured to:
- receive a candidate difference of Gaussian (DOG) layer of an image, the DOG layer generated by pixel subtraction of adjacent scale space layers of the image from each other,
- detect the candidate DOG layer of the image as an intermediate layer, and
- detect at least one extreme point by comparing corresponding pixel values of the candidate DOG layer with values of a previous DOG layer and a next DOG layer;
- and
- a buffer configured to store the at least one extreme point,
- wherein the GPU is configured to perform multiple pipeline passes to detect the at least one extreme point.
A graphics processing unit (GPU) to detect at least one extreme point in an image, the GPU comprising:
- a shader core configured to determine a difference of Gaussian (DOG) layer of an image, the DOG layer generated by pixel subtraction of adjacent scale space layers of the image from each other;
- a comparator configured to identify the DOG layer as an intermediate layer, and to detect the at least one extreme point by comparing corresponding pixel values of the DOG layer with values of a previous DOG layer and a next DOG layer;
- and
- a buffer configured to store values of the DOG layer, the previous layer, the next layer and the extreme point,
- wherein the GPU is configured to perform multiple pipeline passes to detect the at least one extreme point.
Dependencies are inferred from the claim text.