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Image processing for changing predetermined texture characteristic amount of face image

A technology of texture features and image processing devices, applied in the field of image processing

Inactive Publication Date: 2010-08-18
SEIKO EPSON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is room for further quality improvement in conventional image processing that changes predetermined texture feature quantities in face images
[0005] In addition, such a problem exists not only in the case of using AAM, but also in the image processing of changing the predetermined texture feature value in the face image, which is a common problem.

Method used

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  • Image processing for changing predetermined texture characteristic amount of face image
  • Image processing for changing predetermined texture characteristic amount of face image
  • Image processing for changing predetermined texture characteristic amount of face image

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Experimental program
Comparison scheme
Effect test

no. 1 Embodiment

[0049] A-1. Structure of image processing device:

[0050] A-2.AAM setting processing:

[0051] A-3. Face feature position determination processing:

[0052] A-4. Image correction processing:

no. 2 Embodiment

[0054] C.Modification

[0055] A. The first embodiment

[0056] A-1. Structure of image processing device:

[0057] figure 1 It is an explanatory diagram schematically showing the configuration of the printer 100 as the image processing apparatus in the first embodiment of the present invention. The printer 100 of this embodiment is an inkjet color printer corresponding to a so-called direct thermal printer that prints images based on image data acquired from a memory card MC or the like. The printer 100 includes a CPU 110 for controlling each part of the printer 100, an internal memory 120 composed of ROM and RAM, an operation unit 140 composed of buttons or a touch panel, a display unit 150 composed of a liquid crystal display, a printer mechanism 160, and a card. Interface (card I / F) 170 . The printer 100 may also be provided with an interface for data communication with other devices such as a digital camera or a personal computer. The constituent elements of the prin...

Deformed example 1

[0147] In each of the above-mentioned embodiments, in the facial feature location determination process ( Figure 9 ), the selection of the shape model and the texture model based on the size of the face image is performed, but in the process of determining the face feature position, the selection of the shape model and the texture model does not have to be based on the size of the face image, and an arbitrary shape model can also be selected and textured models.

[0148] Furthermore, when the face feature position determination processing ( Figure 9 ) in the selection of the shape model and the texture model based on the size of the face image, in the image correction processing ( Figure 17 ), the selected shape model and texture model can be selected as they are.

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Abstract

Image processing apparatus and methods are provided for changing a texture amount of a face image. A method includes specifying positions of predetermined characteristic portions of the face image, determining a size of the face image, selecting a reference face shape based on the determined face image size, selecting a texture model corresponding to the selected reference face shape, performing a first transformation of the face image such that the resulting transformed face image shape matches the selected reference shape, changing the texture characteristic amount by using the selected texture model, and transforming the changed face image via an inverse transformation of the first transformation.

Description

technical field [0001] The present invention relates to image processing for changing a predetermined texture feature value in a face image. Background technique [0002] Active Appearance Model (Active Appearance Model, also abbreviated as "AAM") is known as a method of modeling visual objects. In AAM, for example, through the statistical analysis of the positions (coordinates) and pixel values ​​(such as brightness values) of specified feature parts (such as eye corners, nose tips or face contour lines) in multiple sampled face images, it is possible to set the A face image is modeled using a shape model representing the face shape determined at the positions of the above-mentioned characteristic parts, or a texture model representing "Appearance" in the average shape. According to AAM, arbitrary face images can be modeled (synthesized), and the positions of the above-mentioned feature parts in the images can be specified (detected) (for example, refer to Patent Document ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/00G06T1/00
CPCG06T15/04G06T11/001G06K9/621G06K9/00281G06V40/171G06V10/7557
Inventor 松坂健治碓井雅也
Owner SEIKO EPSON CORP