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Feature point locating method and device

A feature point positioning and feature point technology, which is applied in three-dimensional object recognition, instrument, character and pattern recognition, etc., can solve the problem of not being able to effectively deal with the problem of multi-pose face feature point positioning

Active Publication Date: 2015-04-29
HUAWEI TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of technology cannot effectively deal with the localization of multi-pose face feature points.

Method used

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  • Feature point locating method and device
  • Feature point locating method and device
  • Feature point locating method and device

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Embodiment Construction

[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0069] figure 1 is a schematic flow chart of a method for feature point location according to an embodiment of the present invention. figure 1 The method 100 includes:

[0070] 110. Acquire an image I, where the image I includes at least one feature point.

[0071] 120. Based on the 3D pose binarization feature of the image I, the preset initial 3D pose parameter θ 0 The regression operation is performed to obtain the converged three-dimensional attitude param...

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Abstract

Disclosed are a method and an apparatus for positioning a characteristic point. The method comprises: obtaining an image I, the image I comprising at least one characteristic point; performing regression calculation on a preset initial three-dimensional gesture parameter θ0 according to a three-dimensional gesture binarization characteristic of the image I, so as to obtain a converged three-dimensional gesture parameter θ; determining a shape parameter V0 1 of an initial first-layer characteristic point set according to the converged three-dimensional gesture parameter θ; and performing regression calculation on the shape parameter V0 1 of the initial first-layer characteristic point set according to the first-layer shape binarization characteristic of the image I, so as to obtain a converged shape parameter V1 of the first-layer characteristic point set. In the embodiments of the present invention, models are separately built for a three-dimensional gesture and a characteristic point set, and an initial parameter of a characteristic point set model is selected according to an output result of the three-dimensional gesture, so that a characteristic point is positioned in a multi-gesture scenario, and a high precision and a rapid processing speed are provided.

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, to a method and device for feature point positioning. Background technique [0002] Automatic facial feature localization is an important research topic in the field of computer vision. At present, in the latest face recognition technology, all face images that are input for automatic recognition need to be located by face feature points to realize the extraction of local face features and the geometric correction of faces. For example, in the face recognition technology adopted by Microsoft's somatosensory devices, the positions of five key feature points (left and right eyes, left and right mouth corners, and nose tip) are used to extract and recognize facial features. [0003] With the application of the markerless facial expression capture system in the film and television special effects industry, scenes similar to "Avatar" special effects have become a widely ...

Claims

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Application Information

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IPC IPC(8): G06K9/66
CPCG06V40/164G06V40/169G06V20/64G06V40/165G06V40/171
Inventor 张维刘健庄许春景
Owner HUAWEI TECH CO LTD