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Local binary model image describing method based on filter group

A local binary mode and filter bank technology, applied in the field of image processing, can solve problems such as difficult to maintain feature stability, and achieve robustness and anti-interference, accuracy and reliability advantages, accurate and effective face recognition effect

Active Publication Date: 2017-03-15
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a local binary mode image description method based on filter banks, solve and reduce the influence of factors such as expression, occlusion, and illumination on facial features, which are difficult to maintain The problem of the stability of feature extraction to enhance the ability of LBP descriptors to represent images

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  • Local binary model image describing method based on filter group
  • Local binary model image describing method based on filter group
  • Local binary model image describing method based on filter group

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Embodiment Construction

[0030] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0031] Such as figure 1 As shown, the present invention has designed a kind of local binary mode image description method based on filter bank, and this method specifically comprises the following steps:

[0032] Step 1. Divide the input face image into blocks to obtain several image blocks, and adjacent image blocks overlap each other. Normalize all face images to the same size, and set the size of the image block according to actual needs [Block H , Block W ], and then divide the image into multiple different image blocks ImgBlock 1 ,ImgBlock 2 ,ImgBlock 3 ,...,ImgBlock N , and two adjacent image blocks overlap each other, preferably, an overlapping ratio is set between adjacent image blocks, and the overlapping ratio is 0.5.

[0033] Step 2. Carry out convolution filtering processing based on filter banks on each image block, and perform LBP encoding o...

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Abstract

The invention discloses a local binary model image describing method based on a filter group. The method comprises the following steps: dividing an inputted facial image into blocks for a plurality of image blocks; carrying out convolution filtering to each image block based on the filter group; performing LBP coding to each image block after the process of convolution filtering so as to obtain a plurality of FBLBP values for each image block; making statistics to the obtained plurality of FBLBP values for each image block; obtaining the FBLBP histogram features in each filter mode and combining the FBLBP histogram features in all filter modes in the filter group sequentially as the FBLBP histogram features of the image block; and sequentially extracting the FBLBP histogram features of each image block; concatenating the FBLEP histogram features to develop the histogram feature vectors of the facial image. According to the invention, an image is coded so that multi-scale information of the image can be obtained, that the LBP operators are more robust and immune to interference, and that characterization of LBP descriptors to the image is enhanced.

Description

technical field [0001] The invention relates to a local binary mode image description method based on a filter bank, belonging to the technical field of image processing. Background technique [0002] Object detection is an important research topic in the field of computer vision, and has a wide range of applications in many fields such as intelligent video surveillance, human-computer interaction, and visual navigation. It is at the bottom of the entire video processing system and is the basis for various subsequent advanced processing such as target tracking, target classification, behavior recognition, scene understanding, etc. Target detection is the front-end link of the tracking system, and effective detection is the basis and premise to ensure the smooth progress of subsequent recognition and tracking. [0003] The local feature description operator is an important part of target feature extraction, and has been paid more and more attention by scholars in the field o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
CPCG06V10/50G06V2201/07
Inventor 孙宁闫恒超李晓飞
Owner NANJING UNIV OF POSTS & TELECOMM
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