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Face sketch generation method based on super pixels

A face portrait and super-pixel technology, applied in the field of image processing, can solve the problems of ignoring the structural information of the face image, ignoring the structural characteristics of the face image, and not being able to effectively describe the local information of the face image, so as to achieve obvious details Effect

Active Publication Date: 2015-10-21
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the entire face image is represented as a vector, which cannot effectively describe the local information of the face image, and there is a loss of details in the process of portrait generation.
The disadvantage of this method is that each image block of the test photo is processed separately, ignoring the structural information of the face image itself, and the face structure is lost in the process of portrait generation.
The disadvantage of this method is that in the process of dividing the face image into blocks, the image is divided into rectangular blocks and the structural characteristics of the face image itself are ignored, and the generated pseudo-portrait has the loss of details.

Method used

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  • Face sketch generation method based on super pixels
  • Face sketch generation method based on super pixels
  • Face sketch generation method based on super pixels

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Embodiment Construction

[0027] refer to figure 1 , the steps that the present invention realizes are as follows:

[0028] Step 1, divide training portrait sample set, training photo sample set and test sample set.

[0029] Take L portraits from the portrait-photo pair set to form a training portrait sample set T R , and take out the training portrait sample set T R One-to-one correspondence of the portraits in L photos constitutes the training photo sample set T E , compose the remaining portrait-photo pairs into a test sample set, select a test photo S from the test sample set, 2≤L≤U-1, and U is the number of portrait-photo pairs in the portrait-photo pair set.

[0030] Step 2, divide the portraits in the training portrait sample set, the photos in the training photo sample set, and the test photos into superpixel blocks.

[0031] (2a) Divide the test photo S into superpixel blocks:

[0032] The division of the test photo S can be carried out using the existing superpixel algorithm. The superpi...

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Abstract

The invention discloses a face sketch generation method based on super pixels, and mainly aims to solve the problem that the details of face image blocking by an existing method are not obvious. The method comprises the following steps: (1) partitioning a training sketch sample set, a training picture sample set and a test sample set; (2) performing super pixel block partitioning on sketches in the training sketch sample set, pictures in the training picture sample set and a test picture; (3) forming a to-be-selected picture super pixel block set and a to-be-selected sketch super pixel block set based on partitioned super pixel blocks; (4) calculating a to-be-selected sketch super pixel block weight set; (5) calculating a pseudo sketch super pixel block set according to the to-be-selected sketch super pixel block weight set; and (6) generating a pseudo sketch according to the pseudo sketch super pixel block set. As super pixel block partitioning is adopted in the blocking process and consideration is taken into the structure information of the face image, the details of a generated face sketch are obvious. The method can be used for face retrieval and recognition in the field of public safety.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for generating a face portrait, which can be used for face retrieval and recognition in the field of public security. Background technique [0002] In public security management, face-based identification is one of the most convenient and effective authentication technologies. For example, in criminal investigations, when it is difficult to obtain photos of the suspect, the forensic doctor can draw a portrait of the suspect based on the description of the witnesses. Due to the different imaging principles of photos and portraits, there are great differences in shape and texture, which brings many difficulties to face recognition based on portraits. Face portrait generation technology is to convert the photos in the police face database into fake portraits through image processing technology, and then the suspect's portrait can be identified in the f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 高新波彭春蕾王楠楠李洁朱明瑞于昕晔张声传张铭津孙雷雨张宇航
Owner XIDIAN UNIV