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Non-rigid face image registering method integrated with related block information

A face image and related block technology, applied in the field of image matching, can solve problems such as being susceptible to local interference and ignoring image texture.

Inactive Publication Date: 2016-08-17
XI AN JIAOTONG UNIV
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Problems solved by technology

Wang[9] proposed a block-based greedy search algorithm, which can perform face alignment based on a single template. This method also ignores the global image texture, and the matching result depends entirely on the similarity of local blocks, which is susceptible to local interference. Impact

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  • Non-rigid face image registering method integrated with related block information
  • Non-rigid face image registering method integrated with related block information
  • Non-rigid face image registering method integrated with related block information

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Embodiment Construction

[0032] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] The overall flow chart of the algorithm is as follows figure 1 shown. The first step is to construct a N*N (such as 9*9) size feature block and an M*M (M>N) (such as 21*21) size feature block on the template face image centered on each marked feature point The local matching search area; the second step is on the target face image, with each current shape feature point as the center to determine the local search area corresponding to the M*M size; the third step is in the respective search areas, for the template face image Find the relevant block corresponding to the feature block in the target face image, and calculate the relevant block coefficient; the fourth step fuses the relevant block information to establish an optimization model for non-rigid face image registration; the fifth step uses the optimization method to sol...

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Abstract

The invention discloses a non-rigid face image registering method integrated with related block information, and the method comprises the steps: 1, taking a marked shape feature point as a center on a template face image, building feature blocks, and determining a local matching search region of each feature block; 2, taking a current shape feature point as the center on a target image, and determining a corresponding local search region; 3, searching a corresponding related block in the target image for each feature block of the template image in each search region, and calculating the coefficients of the related blocks; 4, carrying out the fusion of the information of the related blocks, and building a non-rigid face image registering optimization model; 5, employing an optimization method to solve the parameters of the model, and calculating the positions of the shape feature points of the target image; 6, carrying out the iteration of steps 2-5 till convergence, finally carrying out non-rigid transformation, and obtaining a final registered image. The invention proposes a search method for local related blocks, thereby enabling the information of the related blocks to be integrated in the global registering method, and effectively improving the registering precision of a non-rigid face image.

Description

technical field [0001] The invention relates to the technical field of image matching, in particular to a single-template non-rigid face image registration method that fuses global and local matching information. Background technique [0002] Single-template face registration is a fundamental research problem in image processing and computer vision. Exploring single-template face registration methods is of great significance to face recognition, face shape feature extraction and other applications. However, although the target image and the template image belong to the same face, due to the influence of expression, illumination, noise environment and other factors, there are obvious differences between the two images, which brings difficulties to the registration work. Due to the influence of the deformation characteristics of the face, the template image needs to achieve pixel-level registration with the target image through non-rigid transformation. [0003] In recent ye...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/30196
Inventor 杨旸杜少毅刘跃虎罗爽寇倩
Owner XI AN JIAOTONG UNIV
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