Method and apparatus for identifying key point locations in image, and medium
AssigneeBeijing Baidu Netcom Science Technology Co., Ltd.
InventorsXuetong Xue, Hui Ren, Min Yang
Life of this patent
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Abstract
The present disclosure provides a method for identifying key point locations in an image. The method includes: obtaining an image to be detected, and obtaining a feature map and a saliency map of the image to be detected; generating a score response map of the image to be detected based on the feature map of the image to be detected; obtaining a first key point location of a key point on the score response map; obtaining a second key point location of the key point mapped on the image to be detected based on the first key point location; and correcting the second key point location based on the saliency map.
Claims17
A method for identifying key point locations in an image, comprising:
- obtaining an image to be detected, and obtaining a feature map and a saliency map of the image to be detected, wherein points on the saliency map reflect edge locations and detail locations of the image to be detected;
- obtaining local response scores of feature points on the feature map;
- obtaining channel response scores of the feature points on the feature map;
- calculating response scores of the feature points based on the local response scores and the channel response scores;
- generating a score response map of the image to be detected based on the response scores of the feature points;
- obtaining a first key point location of a key point on the score response map;
- obtaining a second key point location of the key point mapped on the image to be detected based on the first key point location;
- and
- correcting the second key point location based on the saliency map.
An apparatus for identifying key point locations in an image, comprising:
- one or more processors;
- a memory storing instructions executable by the one or more processors;
- wherein the one or more processors are configured to:
- obtain an image to be detected, and to obtain a feature map and a saliency map of the image to be detected, wherein points on the saliency map reflect edge locations and detail locations of the image to be detected;
- obtain local response scores of feature points on the feature map;
- obtain channel response scores of the feature points on the feature map;
- calculate response scores of the feature points based on the local response scores and the channel response scores;
- generate a score response map of the image to be detected based on the response scores of the feature points;
- obtain a first key point location of a key point on the score response map;
- obtain a second key point location of the key point mapped on the image to be detected based on the first key point location;
- and
- correct the second key point location based on the saliency map.
A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to implement the method for identifying key point locations in an image, and the method comprise:
- obtaining an image to be detected, and obtaining a feature map and a saliency map of the image to be detected, wherein points on the saliency map reflect edge locations and detail locations of the image to be detected;
- obtaining local response scores of feature points on the feature map;
- obtaining channel response scores of the feature points on the feature map;
- calculating response scores of the feature points based on the local response scores and the channel response scores;
- generating a score response map of the image to be detected based on the response scores of the feature points;
- obtaining a first key point location of a key point on the score response map;
- obtaining a second key point location of the key point mapped on the image to be detected based on the first key point location;
- and
- correcting the second key point location based on the saliency map.
Dependencies are inferred from the claim text.