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Method and device for feature extraction in object shape detection

A technology for feature extraction and target detection, applied in character and pattern recognition, instrumentation, computing, etc., can solve problems such as the inability to meet the needs of real-time use of video sequences

Active Publication Date: 2021-12-14
CANON KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This obviously cannot meet the needs of real-time use in video sequences

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  • Method and device for feature extraction in object shape detection
  • Method and device for feature extraction in object shape detection
  • Method and device for feature extraction in object shape detection

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Embodiment Construction

[0023] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.

[0024] The following description of at least one exemplary embodiment is merely exemplary in nature, and is in no way intended to limit the invention, its application, or uses.

[0025] Techniques, methods and devices that are known to those of ordinary skill in the relevant art(s) may not be discussed in detail, but where appropriate are intended to be a part of this description.

[0026] In all of the examples shown and discussed herein, any specific values ​​should be construed as illustrative only and non-limiting. Therefore, other instances of the exemplary embodiment may have different values. ...

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Abstract

The present application relates to a method and device for feature extraction in object shape detection. With the method of the present application, firstly, sub-regions are generated for each feature point, and then representative scores of each sub-region are calculated to form a sub-region representative score table. The subregion representative score table is further transformed into a two-class representation subregion mapping table. Thereafter, a reduced set of sub-region features is extracted from the selected sub-region based on the sub-region mapping table. Finally, the final locations of all feature points are computed by predicting the shape using the reduced set of subregion features via subsequent stages. This application can improve the speed of face feature point detection and maintain the accuracy.

Description

technical field [0001] This application relates generally to object shape alignment, and more specifically to a feature extraction method for creating "supervised reduced features" for detecting facial landmarks. Background technique [0002] Regression-based face alignment typically relies on learning a regression model between feature and shape increments. Computation of shape increments requires extraction of the entire sub-region feature set. Article titled "Speeded-Up Robust Features (SURF)" ("Speed ​​Up Robust Features") (Herbert Bay, Andreas Ess, Tinne Tuytelaars and Luc VanGool, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, Volume 110, pages 346–359, 2008) disclose a feature extraction method that extracts an entire sub-region feature set over a point of interest. In this method, as figure 1 As shown in , a specific number of feature points to be detected in the face image are extracted. Then, an area centered on each feature point i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/00
CPCG06V40/161G06V40/168G06F18/213
Inventor 陈存建黄耀海赵东悦
Owner CANON KK