文件名称:SURF
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This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.-This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.
This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.-This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.
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下载文件列表
SURF- Speeded Up Robust Features.pdf