WO2015074476A1 - Image processing method, apparatus, and storage medium - Google Patents
Image processing method, apparatus, and storage medium Download PDFInfo
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- WO2015074476A1 WO2015074476A1 PCT/CN2014/089694 CN2014089694W WO2015074476A1 WO 2015074476 A1 WO2015074476 A1 WO 2015074476A1 CN 2014089694 W CN2014089694 W CN 2014089694W WO 2015074476 A1 WO2015074476 A1 WO 2015074476A1
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- 238000010586 diagram Methods 0.000 description 6
- 210000000214 mouth Anatomy 0.000 description 6
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- 238000001514 detection method Methods 0.000 description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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- G06T2207/20064—Wavelet transform [DWT]
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Definitions
- the present invention relates to the field of image processing, and in particular, to an image processing method, apparatus, and storage medium.
- Embodiments of the present invention provide an image processing method, apparatus, and storage medium, which can simplify the process of replacing a face image.
- an embodiment of the present invention provides an image processing method, including:
- the replacement map area image is replaced with the map area image.
- an embodiment of the present invention provides an image processing apparatus, including: an acquiring unit, a calculating unit, a first adjusting unit, and a replacing unit, where:
- the acquiring unit is configured to acquire a source face image, calculate a feature point set of the source face image, and calculate a map of the feature point set including the source face image in the source face image.
- the calculating unit is configured to calculate a target face image in the target image, calculate a feature point set of the target face image, and calculate a feature including the target face image in the target face image An image of the map area of the point set;
- the first adjusting unit is configured to adjust the image of the map area according to the image parameter of the feature point set of the target face image to obtain a replacement map area image;
- the replacing unit is configured to replace the replacement map area image with the map area image.
- an embodiment of the present invention further provides a storage medium including computer executable instructions for performing an image processing method when executed by a computer processor, the method comprising:
- the replacement map area image is replaced with the map area image.
- acquiring a source face image, calculating a feature point set of the source face image, and calculating a map area image of the source face image including the feature point set of the source face image Calculating a target face image in the target image, and calculating a feature point set of the target face image, And calculating a map area image including the feature point set of the target face image in the target face image; adjusting the map area image according to the image parameter of the feature point set of the target face image, and obtaining the replacement a map area image; replacing the map area image with the replacement map area image.
- the face image replacement is not required to be manually performed in the embodiment of the present invention, and the replacement of the face image can be automatically performed, so that the embodiment of the present invention can simplify the process of replacing the face image.
- FIG. 1 is a schematic flowchart of an image processing method according to an embodiment of the present invention.
- FIG. 2 is a schematic flowchart of another image processing method according to an embodiment of the present invention.
- FIG. 3 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention.
- FIG. 4 is a schematic structural diagram of another image processing apparatus according to an embodiment of the present invention.
- FIG. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.
- FIG. 1 is a schematic flowchart of an image processing method according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps:
- a specific photo of the source face is obtained, and the source face image is calculated by a face recognition algorithm (for example, a face detection algorithm of the Boost cascade frame), and specifically, the image may be calculated.
- the face area of the photo, the image of the area is the source face image; the above photo can be executed.
- the device of the method receives photos sent by other devices, or obtains the photos locally.
- the face recognition algorithms used include but are not limited to the following algorithms: face recognition algorithm based on Principal Component Analysis (PCA) and Independent Component Analysis (ICA), based on Singular value decomposition (Singular value) Decomposition, SVD) and Kullback-Leibler (KL) projection combined face recognition algorithm, orthogonal tree domain-based wavelet transform (Dual tree complex wavelet transform, DT-CWT) Feature face recognition algorithm.
- PCA Principal Component Analysis
- ICA Independent Component Analysis
- SVD Singular value Decomposition
- KL Kullback-Leibler
- the feature point set of the source face image may be calculated by using an Active Shape Model (ASM) to calculate a feature point set of the source face image.
- ASM Active Shape Model
- the source face image may include an image other than the image formed by the feature point set
- the image of the map area is calculated according to the feature point set of the source face image, so that the source face image may be composed of the feature point set.
- the image other than the image is removed.
- the source face image may not include an image other than the image composed of the feature point set, that is, the source face image is the above-described map area image.
- it may be that a map area including a feature point set of the source face image is calculated, and the image included in the map area is the above-mentioned map area image.
- the foregoing feature point set may include at least one of the following:
- Eyebrows eyes, nose, mouth and contours of the face.
- the face image of the source face image can be reflected by the above-mentioned eyebrows, eyes, nose, mouth and face contours, thereby realizing the replacement of the face image.
- this embodiment can also implement the replacement of the ear and the head.
- the specific calculation process can refer to the process of replacing the face image.
- the face region in the target image is calculated by the face recognition algorithm, and the image of the region is the target face image.
- the face recognition algorithm used includes, but is not limited to, the following algorithm:
- a face recognition algorithm based on PCA and ICA a face recognition algorithm based on SVD and KL projection, and a DT-CWT feature face recognition algorithm based on orthogonal field preservation projection.
- the process of calculating the image of the map area in this step can be calculated by referring to the above calculation of the image of the map area. Cheng, here is not repeated.
- at least one of the size, the angle, and the position of the image of the map area may be adjusted to obtain the image of the replacement map area; where the position refers to the feature point (such as the mouth) in the image of the map area. position.
- the size of the target face image is larger than the size of the image of the map area, the size of the image of the map area needs to be adjusted; or the angle of the image of the map area is different from the angle of the image of the source face, and the image of the map area needs to be adjusted.
- the angle is the same as the angle of the image of the texture area; or the mouth of the image of the texture area is open, and the mouth of the image of the cutout area is closed, that is, the position of the mouth of the target face image is different from the position of the mouth of the image of the cutout area, It is necessary to adjust the position of the mouth of the image of the map area so that the mouth of the image of the map area is consistent with the mouth of the image of the map area, so that the expression of the face image after replacement and the expression of the face image before replacement can be realized. Maintain consistency.
- the angle may specifically refer to a visual angle of the face image.
- the visual angle of the target face image is leftward, that is, the left face of the target face image is more than the right face, and the source face is The visual angle of the image is centered, so that the visual angle of the source face image needs to be adjusted to the left so that the visual angle of the source face image is consistent with the visual angle of the target face image.
- the image of the map area is replaced according to the image parameter of the feature point set of the target face image to obtain a replacement map area image.
- the entire image of the image of the map area may be replaced, and the partial image of the image of the map area may be replaced.
- the replacement processing includes at least one of zooming, stretching, rotating, and translating. For example: pan the upper lip of the mouth, or stretch the eye to change the look of the eye.
- the image parameter of the feature point set of the map area image the image parameter of the feature point set included in the map area image and the image parameter set of the feature point set of the image of the map area image by the replacement processing Alignment; wherein the image parameters include at least one of the following: size, angle, and position.
- the image parameter alignment may specifically mean that the image parameter of the feature point set in the image of the map area is consistent with the image parameter of the feature point set of the map area image.
- the angle of the mouth in the image of the map area is adjusted to the angle of the mouth in the image of the map area
- the size of the outline of the face in the image of the map area is adjusted to the size of the outline of the face in the image of the map area
- Adjusting the ratio of the size of the mouth and the outline of the face in the image of the map area to adjust the image in the image of the map area
- the size of the mouth, as well as the size of the eyes, eyebrows, and nose in the image of the map area can be adjusted according to the image parameters of the feature point set of the map area image, the expression of the map area image and the expression of the map area image can be consistent.
- the image of the map area is replaced by the image of the map area, or the image of the map area is removed, and the image of the replacement map area is pasted to the removed area.
- the foregoing method may be applied to any device having an image processing function, that is, the device may implement the foregoing method.
- the device may implement the foregoing method.
- tablet mobile phone, e-reader, remote control, personal computer (PC), laptop, car device, network TV, wearable device and other network-enabled smart devices.
- the face replacement is not required manually, and the replacement of the face image can be automatically performed, so that the embodiment of the present invention can simplify the process of replacing the face image.
- FIG. 2 is a schematic flowchart diagram of another image processing method according to an embodiment of the present invention. As shown in FIG. 2, the method includes the following steps:
- S201 Acquire a source face image, calculate a feature point set of the source face image, and calculate a map area image of the source face image including the feature point set of the source face image.
- a photo including a source face is acquired, and the source face image is calculated by a face recognition algorithm (for example, a face detection algorithm of a Boost cascade frame), and specifically, the image may be calculated.
- the face area of the photo, the image of the area is the source face image.
- the feature point set for calculating the source face image may specifically be a feature point set of the source face image calculated by the ASM. Since the source face image may include an image other than the image formed by the feature point set, the image of the map area is calculated according to the feature point set of the source face image, so that the source face image may be composed of the feature point set. The image other than the image is removed.
- the source face image may not include an image other than the image composed of the feature point set, that is, the source face image is the above-described map area image. Specifically, it may be that a map area including a feature point set of the source face image is calculated, and the image included in the map area is the above-mentioned map area image.
- the foregoing feature point set may include at least one of the following:
- Eyebrows eyes, nose, mouth and contours of the face.
- the face image of the source face image can be reflected by the above-mentioned eyebrows, eyes, nose, mouth and face contours, thereby realizing the replacement of the face image.
- this embodiment can also implement the replacement of the ear and the head.
- the specific calculation process can refer to the process of replacing the face image.
- At least one of the size, the angle and the position of the image of the map area may be adjusted to obtain the image of the replacement map area.
- the pixels of the image of the replacement image area are adjusted to the pixels of the target image, that is, the pixels of the image of the replacement image area after the adjustment are the same as the pixels of the target image.
- the visual effect produced by this is more realistic.
- step S205 only gives pixels for adjusting the image of the replacement map area so that the pixels of the replacement map area image are visually consistent with the pixels of the target image.
- step S203 may specifically include:
- the image of the image of the map area may be replaced as a whole, or the partial image of the image of the map area may be replaced, for example, the upper lip of the mouth is translated upward, or the eye is stretched to change the look of the eye. .
- the replacement process may include at least one of the following:
- the size of the image of the map area is larger than the size of the image of the map area, so that the size of the image of the map area can be adjusted according to the size of the image of the map area; or the angle and image of the image of the map area
- the angle of the area image is different, and it is necessary to adjust the angle of the image of the map area according to the angle of the image of the map area; or the mouth of the image of the map area is open, and the mouth of the image of the map area is closed, that is, the image of the target face
- the mouth of the mouth is different from the position of the mouth of the image of the map area, so that the position of the mouth of the image of the map area needs to be adjusted so that the mouth of the image of the map area is consistent with the mouth of the image of the map area, so that the replacement can be realized.
- the expression of the face image is consistent with the expression of the face image before the replacement.
- the angle may specifically refer to a visual angle of the face image.
- the visual angle of the target face image is leftward, that is, the left face of the target face image is more than the right face, and the source face is The visual angle of the image is centered, so that the visual angle of the source face image needs to be adjusted to the left so that the visual angle of the source face image is consistent with the visual angle of the target face image.
- the replacing the image of the image of the image according to the image parameter of the feature point set of the target face image may include:
- image parameters include at least one of the following:
- the image parameter alignment may specifically mean that the image parameter of the feature point set in the image of the map area is consistent with the image parameter of the feature point set of the map area image.
- the angle of the mouth in the image of the map area is adjusted to the angle of the mouth in the image of the map area, or the size of the outline of the face in the image of the map area is adjusted to the size of the outline of the face in the image of the map area, and then According to the size ratio of the mouth and the outline of the face in the image of the map area, the size of the mouth in the image of the map area is adjusted, and the size of the eyes, eyebrows and nose in the image of the map area is adjusted. Since the image parameters of the feature point set included in the map area image can be adjusted according to the image parameters of the feature point set of the map area image, the expression of the map area image and the expression of the map area image can be consistent.
- the embodiment of the present invention may further perform decoding processing on the target image processed in step S205, and display the target image after the decoding process.
- the image including the source face image may be encoded, and then the source face image is acquired by the encoded image.
- the target image may be encoded and processed. The encoded target image acquires the source face image.
- the device embodiment of the present invention is used to perform the method for implementing the first to second embodiments of the present invention.
- the device embodiment of the present invention is used to perform the method for implementing the first to second embodiments of the present invention.
- Only parts related to the embodiment of the present invention are shown, and the specific technical details are not disclosed. Please refer to Embodiment 1 and Embodiment 2 of the present invention.
- FIG. 3 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention. As shown in FIG. 3, the method includes: an obtaining unit 31, a calculating unit 32, a first adjusting unit 33, and a replacing unit 34, wherein:
- the acquiring unit 31 is configured to acquire a source face image, calculate a feature point set of the source face image, and calculate a map area of the source face image including the feature point set of the source face image image.
- a photo including a source face is acquired, and the source face image is calculated by a face recognition algorithm (for example, a face detection algorithm of a Boost cascade frame), and specifically, the image may be calculated.
- the face area of the photo, the image of the area is the source face image; the photo may be that the device receives a photo sent by another device, or obtains the photo locally.
- the feature point set for calculating the source face image may specifically be a feature point set of the source face image calculated by the ASM. Since the source face image may include an image other than the image formed by the feature point set, the image of the map area is calculated according to the feature point set of the source face image, so that the source face image includes the feature point set. The image other than the image is removed.
- the source face image may not include an image other than the image composed of the feature point set, that is, the source face image is the above-described map area image. Specifically, it may be that a map area including a feature point set of the source face image is calculated, and the image included in the map area is the above-mentioned map area image.
- the foregoing feature point set may include at least one of the following:
- Eyebrows eyes, nose, mouth and contours of the face.
- the face image of the source face image can be reflected by the above-mentioned eyebrows, eyes, nose, mouth and face contours, thereby realizing the replacement of the face image.
- this embodiment can also implement the replacement of the ear and the head.
- the specific calculation process can refer to the process of replacing the face image.
- the calculating unit 32 is configured to calculate a target face image in the target image, calculate a feature point set of the target face image, and calculate that the target face image includes the target face image A map area image of a feature point collection.
- the face region in the target image is calculated by the face recognition algorithm, and the image of the region is the target face image.
- the face recognition algorithm used includes, but is not limited to, the following algorithm:
- a face recognition algorithm based on PCA and ICA a face recognition algorithm based on SVD and KL projection, and a DT-CWT feature face recognition algorithm based on orthogonal field preservation projection.
- the first adjusting unit 33 is configured to adjust the image of the map area according to the image parameter of the feature point set of the target face image to obtain a replacement map area image.
- the first adjusting unit 33 may specifically adjust the size, angle or position of the image of the map area to obtain the image of the replacement map area. For example, if the size of the target face image is larger than the image size of the map area, the size of the image of the map area needs to be adjusted; or the angle of the image of the map area is different from the angle of the image of the source face, and the image of the map area needs to be adjusted.
- the angle is the same as the angle of the image of the texture area; or the mouth of the image of the texture area is open, and the mouth of the image of the cutout area is closed, that is, the position of the mouth of the target face image is different from the position of the mouth of the image of the cutout area, It is necessary to adjust the position of the mouth of the image of the map area so that the mouth of the image of the map area is consistent with the mouth of the image of the map area, so that the expression of the face image after replacement and the expression of the face image before replacement can be realized. Maintain consistency.
- the angle may specifically refer to a visual angle of the face image.
- the visual angle of the target face image is leftward, that is, the left face of the target face image is more than the right face, and the source face is The visual angle of the image is centered, so that the visual angle of the source face image needs to be adjusted to the left so that the visual angle of the source face image is consistent with the visual angle of the target face image.
- the replacing unit 34 is configured to replace the replacement map area image with the map area image.
- the replacing unit 34 may specifically cover the image of the map area by replacing the image of the map area, or remove the image of the map area, and paste the image of the replacement map area to the removed area.
- the above device may be specifically applied to any device having an image processing function, that is, the device includes the above device.
- the device includes the above device.
- tablet computers mobile phones, e-readers, remote controls, PCs, laptops, car devices, Internet TVs, wearable devices and other smart devices with network capabilities.
- the face replacement is not required manually, and the replacement of the face image can be automatically performed, so that the embodiment of the present invention can simplify the process of replacing the face image.
- FIG. 4 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention. As shown in FIG. 4, the method includes: an obtaining unit 41, a calculating unit 42, a first adjusting unit 43, a replacing unit 44, and a second adjusting unit 45. among them:
- An acquiring unit 41 configured to acquire a source face image, calculate a feature point set of the source face image, and calculate a map area of the source face image including the feature point set of the source face image image.
- the calculating unit 42 is configured to calculate a target face image in the target image, calculate a feature point set of the target face image, and calculate feature points including the target face image in the target face image A collection of map area images.
- the first adjusting unit 43 is configured to adjust the image of the map area according to the image parameter of the feature point set of the target face image to obtain a replacement map area image.
- the replacing unit 44 is configured to replace the map area image with the replacement map area image.
- the second adjusting unit 45 is configured to adjust, according to the pixel of the target image, the pixel of the replacement graphic area image and the pixel of the target image to maintain visual consistency.
- the second adjusting unit 45 may specifically adjust the pixels of the image of the replacement image area to the pixels of the target image, that is, the pixels of the image of the replacement image area after the adjustment are the same as the pixels of the target image.
- the visual effect produced by this is more realistic.
- the second adjustment unit 45 only gives pixels that replace the image of the cutout area so that the pixels of the replacement face image maintain visual consistency with the pixels of the target image.
- the first adjusting unit 43 is further configured to perform a replacement process on the image of the map area according to the image parameter of the feature point set of the target face image to obtain a replacement map area image.
- the image of the image of the map area may be replaced as a whole, or the partial image of the image of the map area may be replaced, for example, the upper lip of the mouth is translated upward, or the eye is stretched to change the look of the eye. .
- the replacement process may include at least one of the following:
- the size of the image of the map area is larger than the size of the image of the map area, so that the size of the image of the map area can be different according to the size of the image of the map area; or the angle of the image of the map area is different from the angle of the image of the map area, The angle of the image of the map area is adjusted to the angle of the image of the map area.
- the first adjusting unit 43 is further configured to: according to the image parameter of the feature point set of the map area image, image parameters of the feature point set included in the map area image by using the replacement processing Aligning the image parameters of the feature point set of the map area image; wherein the image parameter includes at least one of the following:
- the image parameter alignment may specifically mean that the image parameter of the feature point set in the image of the map area is consistent with the image parameter of the feature point set of the map area image.
- the angle of the mouth in the image of the map area is adjusted to the angle of the mouth in the image of the map area
- the size of the outline of the face in the image of the map area is adjusted to the size of the outline of the face in the image of the map area
- the size ratio of the mouth and the outline of the face in the image of the map area the size of the mouth in the image of the area of the device, and the size of the eyes, eyebrows and nose in the image of the map area are adjusted. Since the image parameters of the feature point set included in the image of the map area can be adjusted according to the image parameters of the feature point set, the expression of the image of the map area and the expression of the image of the map area can be consistent.
- the embodiment of the present invention may further perform decoding processing on the target image processed by the second adjusting unit 45, and display the target image after the decoding process.
- the image including the source face image may be encoded, and then the source face image is acquired by the encoded image, and the target face image is calculated in the calculating unit 42.
- the target image may be encoded, and the source face image may be acquired through the encoded target image.
- the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).
- an embodiment of the present invention provides a hardware structure of a terminal device that performs an image processing method, where the terminal device includes a processor 501, a memory 502, an input device 503, and an output device 504.
- the number of processors 501 in the terminal device may be One or more, one processor 501 is taken as an example in FIG. 5; the processor 501, the memory 502, the input device 503, and the output device 504 in the terminal device may be connected by a bus or other manner, and the bus is connected in FIG. For example.
- the memory 502 is used as a computer readable storage medium, and can be used to store a software program, a computer executable program, and a module, such as a program instruction/module corresponding to the image processing method in the embodiment of the present invention (for example, FIG. 3 to FIG. 4
- the processor 501 executes various functional applications and data processing of the terminal device by executing software programs, instructions, and modules stored in the memory 502, that is, implementing the image processing method in the above method embodiments.
- the memory 502 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to usage of the terminal device, and the like.
- memory 502 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
- memory 502 can further include memory remotely located relative to processor 501, which can be connected to the server over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
- Input device 503 can be used to receive input digital or character information and to generate key signal inputs related to user settings and function control of the terminal.
- Output device 504 can include a display device such as a display screen.
- the processor 501 may perform the following steps: acquiring a source face image, calculating a feature point set of the source face image, and calculating a feature point set including the source face image in the source face image. a map area image; calculating a target face image in the target image, calculating a feature point set of the target face image, and calculating feature points including the target face image in the target face image a map image of the map; adjusting the map area image according to image parameters of the feature point set of the target face image to obtain a replacement map area image; and replacing the map area image with the replacement map area image .
- the pixel of the replacement map area image may be adjusted according to the pixel of the target image to be compared with the target image.
- the pixels remain visually consistent.
- the feature point set includes at least one of the following: an eyebrow, an eye, a nose, a mouth, and a contour of a human face.
- the processor 501 adjusts the image of the map area according to the image parameter of the feature point set of the target face image to obtain the image of the replacement map area
- the processor 501 is specifically implemented according to the feature of the target face image. And replacing the image of the map area with the image parameter of the point set to obtain a replacement map area image; wherein the replacement processing includes at least one of the following: zooming, stretching, and rotating Turn and pan.
- the processor 501 when the processor 501 performs the replacement process on the image of the image of the image according to the image parameter of the feature point set of the target face image, the processor 501 is specifically implemented as: an image parameter according to the feature point set of the image of the texture image Aligning, by the replacement process, an image parameter of the feature point set included in the map area image with the image parameter of the feature point set of the image of the map area image; wherein the image parameter includes at least one of the following : size, angle and position.
- Embodiments of the present invention also provide a storage medium containing computer executable instructions for performing an image processing method when executed by a computer processor, the method comprising:
- the replacement map area image is replaced with the map area image.
- the method further includes:
- the feature point set includes at least one of the following: an eyebrow, an eye, a nose, a mouth, and a contour of a human face.
- the image of the map area is adjusted according to the image parameter of the feature point set of the target face image, and the image of the replacement map area is obtained, including:
- the replacement process includes at least one of the following: zooming, stretching, rotating, and panning.
- the replacement processing including:
- the image parameter of the feature point set of the map area image the image parameter of the feature point set included in the map area image and the image parameter set of the feature point set of the image of the map area image by the replacement processing Alignment; wherein the image parameters include at least one of the following: size, angle, and position.
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Abstract
Description
Claims (11)
- 一种图像处理方法,其特征在于,包括:An image processing method, comprising:获取源人脸图像,计算出所述源人脸图像的特征点集合,并计算出所述源人脸图像中包括所述源人脸图像的特征点集合的抠图区域图像;Obtaining a source face image, calculating a feature point set of the source face image, and calculating a map area image of the source face image including the feature point set of the source face image;计算出目标图像中的目标人脸图像,计算出所述目标人脸图像的特征点集合,并计算出所述目标人脸图像中包括所述目标人脸图像的特征点集合的贴图区域图像;Calculating a target face image in the target image, calculating a feature point set of the target face image, and calculating a map area image including the feature point set of the target face image in the target face image;根据所述目标人脸图像的特征点集合的图像参数调整所述抠图区域图像,得到替换抠图区域图像;Adjusting the image of the map area according to image parameters of the feature point set of the target face image to obtain a replacement map area image;利用所述替换抠图区域图像替换掉所述贴图区域图像。The map area image is replaced with the replacement map area image.
- 如权利要求1所述的方法,其特征在于,所述将所述替换抠图区域图像替换掉所述贴图区域图像之后,所述方法还包括:The method of claim 1, wherein after the replacing the image of the map area with the image of the map area, the method further comprises:根据所述目标图像的像素,调整所述替换抠图区域图像的像素以与所述目标图像的像素保持视觉一致性。And adjusting pixels of the replacement map area image to maintain visual consistency with pixels of the target image according to pixels of the target image.
- 如权利要求1或2所述的方法,其特征在于,所述特征点集合包括如下至少一项:The method according to claim 1 or 2, wherein the set of feature points comprises at least one of the following:眉毛、眼睛、鼻子、嘴巴和人脸外轮廓。Eyebrows, eyes, nose, mouth and contours of the face.
- 如权利要求1或2所述的方法,其特征在于,所述根据所述目标人脸图像的特征点集合的图像参数调整所述抠图区域图像,得到替换抠图区域图像,包括:The method according to claim 1 or 2, wherein the adjusting the image of the map area according to the image parameter of the feature point set of the target face image to obtain the image of the replacement map area comprises:根据所述目标人脸图像的特征点集合的图像参数对所述抠图区域图像进行替换处理,得到替换抠图区域图像;Substituting the image of the map area according to image parameters of the feature point set of the target face image to obtain a replacement map area image;其中,所述替换处理包括如下至少一项:The replacement process includes at least one of the following:缩放、拉伸、旋转和平移。Zoom, stretch, rotate, and pan.
- 如权利要求4所述的方法,其特征在于,所述根据所述目标人脸图像的特征点集合的图像参数对所述抠图区域图像进行替换处理,包括:The method according to claim 4, wherein the performing the replacement processing on the image of the image according to the image parameter of the feature point set of the target face image comprises:根据所述贴图区域图像的特征点集合的图像参数,通过所述替换处理将所 述抠图区域图像包括的特征点集合的图像参数与所述贴图区域图像的特征点集合的所述图像参数对齐;其中,所述图像参数包括如下至少一项:According to the image parameter of the feature point set of the map area image, by the replacement processing The image parameter of the feature point set included in the image of the map area is aligned with the image parameter of the feature point set of the map area image; wherein the image parameter includes at least one of the following:尺寸、角度和位置。Size, angle and position.
- 一种图像处理装置,其特征在于,包括:获取单元、计算单元、第一调整单元和替换单元,其中:An image processing apparatus, comprising: an acquisition unit, a calculation unit, a first adjustment unit, and a replacement unit, wherein:所述获取单元,用于获取源人脸图像,计算出所述源人脸图像的特征点集合,并计算出所述源人脸图像中包括所述源人脸图像的特征点集合的抠图区域图像;The acquiring unit is configured to acquire a source face image, calculate a feature point set of the source face image, and calculate a map of the feature point set including the source face image in the source face image. Area image所述计算单元,用于计算出目标图像中的目标人脸图像,计算出所述目标人脸图像的特征点集合,并计算出所述目标人脸图像中包括所述目标人脸图像的特征点集合的贴图区域图像;The calculating unit is configured to calculate a target face image in the target image, calculate a feature point set of the target face image, and calculate a feature including the target face image in the target face image An image of the map area of the point set;所述第一调整单元,用于根据所述目标人脸图像的特征点集合的图像参数调整所述抠图区域图像,得到替换抠图区域图像;The first adjusting unit is configured to adjust the image of the map area according to the image parameter of the feature point set of the target face image to obtain a replacement map area image;所述替换单元,用于利用所述替换抠图区域图像替换掉所述贴图区域图像。The replacing unit is configured to replace the map area image with the replacement map area image.
- 如权利要求6所述的装置,其特征在于,所述装置还包括:The device of claim 6 wherein said device further comprises:第二调整单元,用于根据所述目标图像的像素,调整所述替换抠图区域图像的像素以与所述目标图像的像素保持视觉一致性。a second adjusting unit, configured to adjust pixels of the replacement graphic area image to maintain visual consistency with pixels of the target image according to pixels of the target image.
- 如权利要求6或7所述的装置,其特征在于,所述特征点集合包括如下至少一项:The apparatus according to claim 6 or 7, wherein said set of feature points comprises at least one of the following:眉毛、眼睛、鼻子、嘴巴和人脸外轮廓。Eyebrows, eyes, nose, mouth and contours of the face.
- 如权利要求6或7所述的装置,其特征在于,所述第一调整单元还用于根据所述目标人脸图像的特征点集合的图像参数对所述抠图区域图像进行替换处理,得到替换抠图区域图像;The apparatus according to claim 6 or 7, wherein the first adjusting unit is further configured to perform a replacement process on the image of the map area according to an image parameter of the feature point set of the target face image, Replace the image of the map area;其中,所述替换处理包括如下至少一项:The replacement process includes at least one of the following:缩放、拉伸、旋转和平移。 Zoom, stretch, rotate, and pan.
- 如权利要求9所述的装置,其特征在于,所述第一调整单元还用于根据所述贴图区域图像的特征点集合的图像参数,通过所述替换处理将所述抠图区域图像包括的特征点集合的图像参数与所述贴图区域图像的特征点集合的所述图像参数对齐;其中,所述图像参数包括如下至少一项:The apparatus according to claim 9, wherein the first adjusting unit is further configured to: include, according to the image parameter of the feature point set of the map area image, the image of the map area included by the replacing process An image parameter of the feature point set is aligned with the image parameter of the feature point set of the map area image; wherein the image parameter includes at least one of the following:尺寸、角度和位置。Size, angle and position.
- 一种包含计算机可执行指令的存储介质,所述计算机可执行指令在由计算机处理器执行时用于执行一种图像处理方法,其特征在于,该方法包括:A storage medium comprising computer executable instructions for performing an image processing method when executed by a computer processor, the method comprising:获取源人脸图像,计算出所述源人脸图像的特征点集合,并计算出所述源人脸图像中包括所述源人脸图像的特征点集合的抠图区域图像;Obtaining a source face image, calculating a feature point set of the source face image, and calculating a map area image of the source face image including the feature point set of the source face image;计算出目标图像中的目标人脸图像,计算出所述目标人脸图像的特征点集合,并计算出所述目标人脸图像中包括所述目标人脸图像的特征点集合的贴图区域图像;Calculating a target face image in the target image, calculating a feature point set of the target face image, and calculating a map area image including the feature point set of the target face image in the target face image;根据所述目标人脸图像的特征点集合的图像参数调整所述抠图区域图像,得到替换抠图区域图像;Adjusting the image of the map area according to image parameters of the feature point set of the target face image to obtain a replacement map area image;将所述替换抠图区域图像替换掉所述贴图区域图像。 The replacement map area image is replaced with the map area image.
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN113177879A (en) * | 2021-04-30 | 2021-07-27 | 北京百度网讯科技有限公司 | Image processing method, image processing apparatus, electronic device, and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1560795A (en) * | 2004-03-12 | 2005-01-05 | 彦 冯 | Substitute method of role head of digital TV. program |
CN101051392A (en) * | 2006-04-04 | 2007-10-10 | 罗技欧洲公司 | Real-time automatic facial feature replacement |
US20090252435A1 (en) * | 2008-04-04 | 2009-10-08 | Microsoft Corporation | Cartoon personalization |
CN102004897A (en) * | 2009-08-31 | 2011-04-06 | 索尼公司 | Apparatus, method, and program for processing image |
CN102483854A (en) * | 2009-09-11 | 2012-05-30 | 皇家飞利浦电子股份有限公司 | Image processing system |
-
2013
- 2013-11-25 CN CN201310606873.2A patent/CN104657974A/en active Pending
-
2014
- 2014-10-28 WO PCT/CN2014/089694 patent/WO2015074476A1/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1560795A (en) * | 2004-03-12 | 2005-01-05 | 彦 冯 | Substitute method of role head of digital TV. program |
CN101051392A (en) * | 2006-04-04 | 2007-10-10 | 罗技欧洲公司 | Real-time automatic facial feature replacement |
US20090252435A1 (en) * | 2008-04-04 | 2009-10-08 | Microsoft Corporation | Cartoon personalization |
CN102004897A (en) * | 2009-08-31 | 2011-04-06 | 索尼公司 | Apparatus, method, and program for processing image |
CN102483854A (en) * | 2009-09-11 | 2012-05-30 | 皇家飞利浦电子股份有限公司 | Image processing system |
Cited By (16)
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---|---|---|---|---|
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CN111179285B (en) * | 2019-12-31 | 2023-06-20 | 珠海方图智能科技有限公司 | Image processing method, system and storage medium |
CN113763411A (en) * | 2021-03-25 | 2021-12-07 | 北京京东拓先科技有限公司 | Image processing method, client and storage medium |
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