Examples of 'feature points' in a sentence
Meaning of "feature points"
Feature points: Specific landmarks or characteristics used in computer vision and image processing to detect and match objects
How to use "feature points" in a sentence
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feature points
Find interesting feature points in the input image.
Feature points of the second target fingerprint image are extracted.
It relies on natural feature points extracted from images.
Feature points preferably are distinctive features or aspects of the object.
We focus on feature points matching.
Introduce a basis to describe the locations of the feature points.
A set of feature points from a finger of a user are acquired.
The trajectories represent the direction and extent of movement of the feature points.
The feature points are information for describing fingerprint features.
The fingerprint comparison can be comprehended as a comparison between feature points of fingerprint images.
Feature points from the two images are matched for correspondence.
Authors consider the distance between feature points and the area of an object as features.
The feature points do not disclose information about the underlying traffic signs.
The cells in the digitalised parameter space obtain votes from the feature points.
The set of the feature points are matched with the template.
See also
ARCore learns to understand the real world environment by detecting feature points and planes.
The remaining feature points are used as the target feature points.
Therefore, a selection needs to be performed on the multiple feature points.
The terminal extracts feature points of the second target fingerprint image.
Compared to squares, circles have no natural feature points of their own.
The number of feature points in a current feature point set of a user finger is acquired.
If sub-images are registered, centers of corresponding sub images are treated as corresponding feature points.
The set of the feature points are acquired vÃa a scanning partition of a fingerprint recognition sensor.
The user terminal then matches the target feature points with the preset fingerprint template.
Feature points of the fingerprint image are extracted to form the reference feature point set.
The user terminal can select target feature points from the multiple feature points.
Feature points are locally described by Gaussian receptive fields normalized at intrinsic scale.
Determining a number of target feature points of the first fingerprint image ;.
The front of the device is identified using image-processing techniques based on natural feature points.
Preferably, the feature points are relatively distinctive aspects of the object.
The first extracting sub-unit is configured to extract feature points of the first fingerprint image.
Extracting feature points within a part of regions of the first fingerprint image ; and.
Each key feature receives 1 point ; key feature points are averaged for each case.
We have proposed to use a new representation of 3D-surfaces using 3D curves extracted around feature points.
Cellular textures are based on feature points which are scattered over a three-dimensional space.
The first matching sub-unit 4022 is configured to match the target feature points.
In some cases, the feature points may be selected manually to obtain the overlap region.
The determining sub-unit is configured to select target feature points from the multiple feature points.
When the set of feature points match with the template, the mobile terminal is unlocked.
This resulted into obtaining accurate and robust feature points for the 3D model.
At block 204, the feature points of class i are added into a current feature point set.
Find the model 's feature points.
The second device 2000 extracts feature points from the shape information of the first device.
The matching unit 402 can extract multiple feature points of the partial fingerprint image.
At block 102, the number of target feature points of the first fingerprint image is determined.
At block 101, a terminal acquires a set of feature points from a finger of a user.
In the following explanation, the three feature points are referred to as P, Q, and W, respectively.
It contains 18 high-resolution images and more than 250 feature points which can be interactively selected.
At block 104, the first set of feature points are added to a current feature point set.
FIG . 4 is a multi-scale registration of feature points using multi-scale features.
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Examples of using Points
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Points to note when using the appliance
He would stress those points in subsequent reports
Focal points have been established in each department
