WO2018099247A1 - 一种投影控制方法和装置 - Google Patents

一种投影控制方法和装置 Download PDF

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Publication number
WO2018099247A1
WO2018099247A1 PCT/CN2017/109644 CN2017109644W WO2018099247A1 WO 2018099247 A1 WO2018099247 A1 WO 2018099247A1 CN 2017109644 W CN2017109644 W CN 2017109644W WO 2018099247 A1 WO2018099247 A1 WO 2018099247A1
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Prior art keywords
image
projection
identification
information
identification information
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PCT/CN2017/109644
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English (en)
French (fr)
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杨正钰
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中兴通讯股份有限公司
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Publication of WO2018099247A1 publication Critical patent/WO2018099247A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/12—Picture reproducers
    • H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3179—Video signal processing therefor
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B21/00—Projectors or projection-type viewers; Accessories therefor
    • G03B21/14—Details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/164—Detection; Localisation; Normalisation using holistic features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/74—Projection arrangements for image reproduction, e.g. using eidophor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/12—Picture reproducers
    • H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/12—Picture reproducers
    • H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3141—Constructional details thereof
    • H04N9/3173—Constructional details thereof wherein the projection device is specially adapted for enhanced portability
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition

Definitions

  • the present disclosure relates to projection technology, and more particularly to a projection control method and apparatus.
  • Portable projectors combine advanced technology, tiny appearance, Android system and easy to carry around, suitable for business people, more suitable for recreation and home theater; however, there is a drawback in home use, children often Staring at the projection beam, it causes great damage to the child's vision.
  • embodiments of the present invention are directed to a projection control method and apparatus that can accurately identify a recognition object in a projection range, and thereby adjust projection screen parameters of a specified area to avoid glare illumination damage.
  • Embodiments of the present invention provide a projection control method, where the method includes:
  • the projection picture parameters in the designated area are adjusted.
  • the determining the recognition object in the projection range in the first image comprises: acquiring a second image without an identification object within a projection range in advance, and determining the projection by comparing the first image and the second image. Identify objects within the scope.
  • the first identification information satisfies a preset condition, including: comparing the first identification information with a preset second identification information line, where the comparison result is less than a preset comparison threshold, determining the identification information Meet the preset conditions.
  • the adjusting the projected picture parameters in the designated area comprises: adjusting a picture parameter corresponding to the specified area of the recognized object in the projected picture.
  • the adjusting the projected picture parameters in the designated area includes at least one of: adjusting brightness of the projected picture, brightness of the projection light, and angle of the projection light in the designated area.
  • the acquiring the first identification information of the identification object includes at least one of: acquiring first facial recognition feature information, first size information, and first shape information of the identification object.
  • the acquiring the first image within the projection range comprises: acquiring a first image in the invisible light image within the projection range.
  • the embodiment of the invention further provides a projection control device, the device comprising: an identification module and a projection adjustment module; wherein
  • the identification module is configured to acquire a first image in a projection range, determine an identification object in a projection range in the first image, and acquire first identification information of the identification object;
  • the projection adjustment module is configured to adjust a projection screen parameter in the designated area when the first identification information satisfies a preset condition.
  • the identification module is configured to: pre-acquire a second image of the unidentified object within the projection range, and determine the recognition object within the projection range with respect to the first image and the second image.
  • the projection adjustment module is configured to: compare the first identification information with the preset second identification information line, and compare the result to be smaller than the preset comparison threshold, and determine that the identification information meets the preset condition.
  • the projection adjustment module is configured to: adjust a picture parameter corresponding to the specified area of the recognition object in the projected picture.
  • the projection adjustment module is specifically configured to: at least one of: adjusting brightness of a projected picture in the designated area, adjusting brightness of the projection light, and adjusting a projection light machine angle.
  • the first identification information of the identification object includes at least one of: first facial recognition feature information of the identification object, first size information, first shape information.
  • the first image comprises a first image imaged using invisible light.
  • the projection control method and apparatus acquires a first image in a projection range, determines an identification object in a projection range in the first image, and acquires first identification information of the identification object; When the first identification information satisfies the preset condition, the projection picture parameters in the designated area are adjusted. In this way, when a recognition object such as a child or the like in the projection range is detected, the projection screen parameters of the designated area such as the child's head are adjusted, so that the brightness of the designated area is lowered, the glare radiation damage is avoided, and the user experience is improved.
  • FIG. 1 is a schematic flow chart of a projection control method according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural diagram of a projector according to an embodiment of the present invention.
  • FIG. 3 is a schematic flow chart of a projection method of a projector according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a projection control apparatus according to an embodiment of the present invention.
  • the first image in the projection range is acquired, and the knowledge in the projection range in the first image is determined. And acquiring the first identification information of the identification object; and when the first identification information meets the preset condition, adjusting the projection picture parameter in the designated area.
  • the projection control method provided by the embodiment of the invention is as shown in FIG. 1 , and the method includes:
  • Step 101 Acquire a first image in a projection range, determine an identification object in a projection range in the first image, and acquire first identification information of the identification object;
  • the projection range is a range that the projection screen can cover when the projection device such as a projector performs projection; the first image of the projection range can be captured by the imaging device built in the projection device or an external imaging device; the first image coverage It may be larger than the projection range or equal to the projection range.
  • the first image is equal to the projection range, and the effect is better, and the recognition object entering the projection light illumination can be accurately judged without being affected by other objects outside the projection range.
  • the timing of the shooting can be during the projection process or before the projection.
  • the first image may be identified to determine whether there is an identification object in the image; here, the recognition object may be a person, especially a child, or an avatar; and the existing Adaboost algorithm may be used.
  • the human body detecting method in the image determines the recognition object in the first image; and determines whether the recognition object is a human body, a head, or the like.
  • a second image of a projection range when the projection range is not recognized may be pre-photographed, and the image processing method such as image feature comparison method is used by the processor or the like inside the projection device to compare the first image and the second image to determine The difference between the two images, when the first image and the second image are different, the recognition object in the first image may be determined by an image analysis method such as edge recognition.
  • the identification information of the identification object may be acquired, where the identification information includes: first face recognition feature information of the recognition object, and/or first size information, and/or first shape information, etc.;
  • the first facial recognition feature information may be acquired by using an existing avatar recognition method, and the existing avatar recognition method includes: a statistical-based recognition method, which mainly includes a feature face (Eigenface) method and a hidden Markov model (HMM, Hidden Markov Model) method; identification method based on connection mechanism, including Artificial Neural Network (ANN) method and Elastic Bunch Graph Matching (EBGM) method; and other comprehensive methods and A method of processing a non-two-dimensional grayscale image, and the like.
  • the first facial recognition feature information that can be extracted includes facial feature information such as a pupil distance, an eyebrow distance, and an eye nose distance.
  • the first size information may be avatar size information, such as head circumference, etc.; the first shape information may be human body shape information, avatar shape information, etc.; the size of the avatar may be determined by an existing image edge detection method or the like.
  • the built-in camera device or an external camera device may be a non-visible light camera device, such as an infrared camera, etc.
  • the first image may be an invisible light image, such as an infrared image;
  • the interference of the projection image of the projection device on the captured image of the camera device is avoided; the application on some projection devices of the existing infrared camera device can also save cost.
  • Step 102 When the first identification information meets a preset condition, adjust a projection picture parameter in the designated area.
  • the first identification information may be compared with the preset second identification information, and if the comparison result is less than the preset comparison threshold, the projection picture parameters in the designated area are adjusted; wherein the second identification information and the first identification
  • the information is similar, and may also include: second facial recognition feature information, and/or second size information, and/or second shape information, and the like;
  • the first facial recognition feature information may be compared with the preset second facial recognition feature information, and the feature face method is taken as an example, and the contrast distance, the eyebrow distance, the eye nose distance, etc. may be compared, and the difference may be compared.
  • a percentage arithmetic average or a weighted average value is used as a comparison result.
  • the comparison result is less than a preset comparison threshold, such as 15%, it is determined that the identification information satisfies a preset condition; the preset comparison threshold may be based on an image comparison error. Determining; the preset second facial recognition feature may be obtained by pre-capturing an image of the specified recognition object, and then extracting the second facial recognition feature by the above-mentioned recognition method;
  • the first size information, and/or the first shape information may also be compared with the preset second size information and/or the second shape information, respectively, such as the head circumference information in the first image and the preset head. Comparing the information, the percentage average of the contrast difference can be used as a comparison result. When the comparison result is less than the preset contrast threshold, such as 15%, it is determined that the identification information satisfies a preset condition; the preset contrast threshold may be based on the image. Identify the calculation error to determine.
  • the first shape information may be a human body shape.
  • the average value of the contrast difference may be used as a comparison result, and when the comparison result is less than the preset contrast threshold, 15%, determining that the identification information meets a preset condition;
  • the comparison identification information such as the first facial recognition feature information of the comparison identification object, and/or the first size information, and/or the first shape information, may be compared in an alternative manner, and only one of the comparisons may be compared. It is also possible to compare the results one by one until the same result is compared; if the first facial recognition feature information can be compared first, if the preset condition is not met, the first size information is continuously compared; or the comparison result can be compared separately. Or weight the average to determine if the preset condition is met.
  • the projection picture parameters in the designated area may be adjusted to prevent the glare of the projection device from directly illuminating the light sensitive object of the recognition object.
  • the area such as an eye or the like; here, the projected picture of the designated area may be the entire projected picture coverage area, or may correspond to the specified area on the identification object, for example, when the identification object is the entire human body, the head may be designated In the region, when the recognition object is a human head, the eye portion may be used as a designated region; the designated region may also be divided by a projection image, such as taking a certain portion of the projection image as a designated region, such as the left third and right sides.
  • the adjusting the projection picture comprises: adjusting the brightness of the projection picture, etc., by modifying the brightness value of the original projection picture, etc.; adjusting the brightness of the projection machine, and/or the angle of the projection machine when adjusting the entire projection picture
  • the method is used to adjust the brightness of the projection; also the space will be used to modify the original projection picture, adjust the brightness of the projector and the angle of the projector.
  • the image to be projected in the buffer of the projection device may be image-modified by the processor of the projection device or the like, and the brightness of the image to be projected corresponds to the brightness of the designated area, so that the projection image is partially darkened.
  • the image is projected and, as such, the projected image forms a darker region in the designated area of the recognition object.
  • the camera device when a child enters the projection range, can capture an image of the projection range, identify the human body through image recognition, and further identify the identification features of the child, such as facial feature information and head circumference. Information, etc.; the facial feature information may be first compared with the facial feature information stored in the projection device in advance, and the projection screen parameter adjustment may be performed when the comparison is successful; the brightness of the projection image irradiated to the child's head or the eye may be weakened. Avoid strong light. If the facial feature information does not match, the comparison of the head circumference information and the like may be continued, and the projection screen parameter adjustment is performed after the matching.
  • the projector may include an image capturing module 21, an image processing module 22, and a projection module 23;
  • the image capturing module 21 can be configured with an invisible infrared camera.
  • the image capturing module 21 is configured to store an initial image of the invisible camera that has no human face, and also receives a projected image of the human face captured by the invisible camera, and can The image of the human face is compared with the initial image, and the position, size and shape information of the face in the projection area are calculated;
  • the image processing module 22 is configured to receive information transmitted by the image capturing module 21, and first query whether there is a matching image or data information from the storage unit.
  • the image processing module may include two storage units: one is an image storage unit 221, and is configured to:
  • the first is a data storage unit 222, which is used for storing a data storage unit such as a head circumference size, and can use headline data published by an international standard; if there is a matching image or data, the image processing module 22: Obtaining an image to be projected and performing image modification, where the modification is to process the beam of the face coverage area in the projection image transmitted by the shooting module 21 to form an image of the partial beam dimming, and transmit it to the projection module 23 to continue projection, such as Dimming the beam covering the eye portion, and if the image and size data fail to match, the projection beam continues to operate normally;
  • the projection module 23 is configured to perform projection according to the image information transmitted by the image processing module 22.
  • Step 301 installing an invisible infrared camera in the projector for capturing an initial projection image and a human face image of the unmanned face, and performing comparative analysis to calculate the size, shape, and position of the projection area of the human face, and the like. Information is passed to the next unit;
  • Step 302 The image processing module 22 receives the information transmitted by the image capturing module 21, first retrieves the matching image information from the image storage unit 221, if the match, go to step 304, otherwise, go to step 303;
  • Step 303 retrieve the matching information from the data storage unit 222, mainly based on the size of the face image calculated by the size of the head circumference to determine, if the match, go to step 304, otherwise, the image processing is not processed, go to step 305;
  • Step 304 The image processing module 22 acquires an image to be projected, and dims the brightness of the image beam of the specified area in the projected image to a color tone that does not harm the eye;
  • Step 305 The projection module 23 performs projection according to the information transmitted by the image processing module 22.
  • the projection control device provided by the embodiment of the present invention, as shown in FIG. 4, the identification module 41 and the projection adjustment module 42;
  • the identification module 41 is configured to acquire a first image in a projection range, determine an identification object in a projection range in the first image, and acquire first identification information of the identification object;
  • the projection range is a range that the projection screen can cover when the projection device such as a projector performs projection;
  • the first image of the projection range can be captured by the imaging device built in the projection device or an external imaging device;
  • the first image coverage It may be larger than the projection range or equal to the projection range.
  • the first image is equal to the projection range, and the effect is better, and the recognition object entering the projection light illumination can be accurately judged without being affected by other objects outside the projection range.
  • the timing of shooting may be during projection or before projection;
  • the first image may be identified to determine whether there is an identification object in the image.
  • the recognition object may be a person, especially a child, or an avatar; and the improved Adaboost algorithm may be used.
  • the human body detecting method in the image determines the recognition object in the first image; and determines whether the recognition object is a human body, a head, or the like.
  • a second image of a projection range when the projection range is not recognized may be pre-photographed, and the first image and the first image are compared by an image comparison algorithm such as an image feature comparison method by a processor or the like inside the projection apparatus.
  • the two images determine the difference between the two images.
  • the recognition object in the first image may be determined by an image analysis method such as edge recognition.
  • the identification information of the identification object may be acquired, where the identification information includes: first face recognition feature information of the recognition object, and/or first size information, and/or first shape information, etc.;
  • the first avatar recognition method may be acquired by using an existing avatar recognition method, and the existing avatar recognition method includes: a statistic-based recognition method, which mainly includes an Eigenface method and an HMM method; and a connection mechanism-based identification method, including The ANN method and the EBGM method, etc.; there are other integrated methods and methods for processing non-two-dimensional grayscale images.
  • the first facial recognition feature information that can be extracted includes facial feature information such as a pupil distance, an eyebrow distance, and an eye nose distance.
  • the first size information may be avatar size information, such as head circumference, etc.; the first shape information may be human body shape information, avatar shape information, etc.; the size of the avatar may be determined by an existing image edge detection method or the like.
  • the built-in camera device or an external camera device may be a non-visible light camera device, such as an infrared camera, etc.
  • the first image may be an invisible light image, such as an infrared image;
  • the interference of the projection image of the projection device on the captured image of the camera device is avoided; the application on some projection devices of the existing infrared camera device can also save cost.
  • the projection adjustment module 42 is configured to adjust a projection screen parameter in the designated area when the first identification information meets the preset condition
  • the first identification information may be compared with the preset second identification information, if the comparison result is less than
  • the preset contrast threshold is used to adjust the projection picture parameters in the specified area; wherein the second identification information is similar to the first identification information, and may also include: second facial recognition feature information, and/or second size information, and/or Second shape information, etc.;
  • the first facial recognition feature information may be compared with the preset second facial recognition feature information, and the feature face method is taken as an example, and the contrast distance, the eyebrow distance, the eye nose distance, etc. may be compared, and the difference may be compared.
  • a percentage arithmetic average or a weighted average value is used as a comparison result.
  • the comparison result is less than a preset comparison threshold, such as 15%, it is determined that the identification information satisfies a preset condition; the preset comparison threshold may be based on an image comparison error. Determining; the preset second facial recognition feature may extract the second facial recognition feature by pre-capturing an image of the specified recognition object by the above-described recognition method.
  • the first size information, and/or the first shape information may also be compared with the preset second size information and/or the second shape information, respectively, such as the head circumference information in the first image and the preset head. Comparing the information, the percentage average of the contrast difference can be used as a comparison result. When the comparison result is less than the preset contrast threshold, such as 15%, it is determined that the identification information satisfies a preset condition; the preset contrast threshold may be based on the image. Identify the calculation error to determine.
  • the first shape information may be a human body shape.
  • the average value of the contrast difference may be used as a comparison result, and when the comparison result is less than the preset contrast threshold, 15%, determining that the identification information meets a preset condition;
  • the comparison identification information such as the first facial recognition feature information of the comparison identification object, and/or the first size information, and/or the first shape information, may be compared in an alternative manner, and only one of the comparisons may be compared. It is also possible to compare the results one by one until the same result is compared; if the first facial recognition feature information can be compared first, if the preset condition is not met, the first size information is continuously compared; or the comparison result can be compared separately. Or weighting the average to determine if the preset condition is met;
  • the projection picture parameters in the designated area may be adjusted to prevent the glare of the projection device from directly illuminating the light sensitive object of the recognition object.
  • the area such as an eye or the like; here, the projected picture of the designated area may be the entire projected picture coverage area, or may correspond to the designated area on the identification object, for example, when the identification object is the entire human body, the head may be used as The designated area, when the recognition object is a human head, the eye can be used as a designated area; the designated area can also be divided by a projection picture, such as taking a certain part of the projected picture as a designated area, such as one third of the left side, One third of the right, etc.
  • the adjusting the projection picture comprises: adjusting the brightness of the projection picture, etc., by modifying the brightness value of the original projection picture, etc.; adjusting the brightness of the projection machine, and/or the angle of the projection machine when adjusting the entire projection picture
  • the method is used to adjust the brightness of the projection; also the space will be used to modify the original projection picture, adjust the brightness of the projector and the angle of the projector.
  • the image to be projected in the buffer of the projection device may be image-modified by the processor of the projection device or the like, and the brightness of the image to be projected corresponds to the brightness of the designated area, so that the projection image is partially darkened.
  • the image is projected and thus projected, and the projected image forms a darker region in the designated area of the recognition object to protect the light sensitive portion of the designated area, such as an eye. In this way, only part of the projected picture is adjusted, instead of closing the entire projection, keeping the projected picture continuous, no need to restart the projection device, thereby improving the user experience.
  • the camera device when a child enters the projection range, can capture an image of the projection range, identify the human body through image recognition, and further identify the identification features of the child, such as facial feature information and head circumference. Information, etc.; the facial feature information may be first compared with the facial feature information stored in the projection device in advance, and the projection screen parameter adjustment may be performed when the comparison is successful; the brightness of the projection image irradiated to the child's head or the eye may be weakened. Avoid strong light. If the facial feature information does not match, the comparison of the head circumference information and the like may be continued, and the projection screen parameter adjustment is performed after the matching.
  • the identification module 41 can be implemented by a camera device in combination with a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA) in the projection device.
  • the projection adjustment module 42 can be implemented by a CPU, an MPU, a DSP, or a field programmable gate array (FPGA) in the projection device.
  • the technical solution provided by the embodiment of the present invention can be applied to a projection technology.
  • acquiring a first image in a projection range determining an identification object in a projection range in the first image, and acquiring first identification information of the identification object;
  • the projection screen parameters in the specified area are adjusted.
  • the projection screen parameters of the designated area such as the child's head are adjusted, so that the brightness of the designated area is lowered, the glare radiation damage is avoided, and the user experience is improved.

Abstract

一种投影控制方法和装置，获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。

Description

一种投影控制方法和装置 技术领域
本公开涉及投影技术，尤其涉及一种投影控制方法和装置。
背景技术
便携式投影仪集先进的技术、精致的外观、Android系统及方便随身携带等优点于一身，适合商务人士办公、更适合休闲娱乐及家庭影院等；但是，在家庭使用中有一个弊端，儿童经常会盯着投影光束看，对儿童的视力造成很大的伤害。
目前，有超声波、红外线、探测器等装置来探测人物并实现关闭投影光束的方案，这些方案中只要探测到人物站在投影镜头前方，就直接关闭投影光束，虽然可以避免人眼受到伤害，但投影光束会突然关闭，且再次观看需要手动打开，最重要的是这种探测方式不能很好的区分是成人还是小孩站在投影镜头前方。
因此，如何能准确识别投影范围中的识别对象，进而调整指定区域的投影画面参数，避免强光照射伤害，是亟待解决的问题。
发明内容
有鉴于此，本发明实施例期望提供一种投影控制方法和装置，能准确识别投影范围中的识别对象，进而调整指定区域的投影画面参数，避免强光照射伤害。
为达到上述目的，本发明的技术方案是这样实现的：
本发明实施例提供了一种投影控制方法，所述方法包括：
获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；
所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。
根据一个示例性实施例，所述确定所述第一图像中投影范围内的识别对象，包括：预先获取投影范围内无识别对象的第二图像，对比第一图像和第二图像确定所述投影范围内的识别对象。
根据一个示例性实施例，所述第一识别信息满足预设条件，包括：将第一识别信息与预设的第二识别信息行对比，对比结果小于预设对比阈值，则确定所述识别信息满足预设条件。
根据一个示例性实施例，所述调整指定区域内的投影画面参数，包括：调整投影画面中对应于所述识别对象指定区域的画面参数。
根据一个示例性实施例，所述调整指定区域内的投影画面参数，包括以下至少之一：调整所述指定区域内投影画面的亮度、投影光机亮度、投影光机角度。
根据一个示例性实施例，所述获取所述识别对象的第一识别信息，包括以下至少之一：获取所述识别对象的第一面部识别特征信息、第一尺寸信息、第一形状信息。
根据一个示例性实施例，所述获取投影范围内的第一图像，包括：获取投影范围内的采用不可见光成像的第一图像。
本发明实施例还提供了一种投影控制装置，所述装置包括：识别模块和投影调整模块；其中，
所述识别模块，用于获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；
所述投影调整模块，用于所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。
根据一个示例性实施例，所述识别模块用于：预先获取投影范围内无识别对象的第二图像，对比第一图像和第二图像确定所述投影范围内的识别对象。
根据一个示例性实施例，所述投影调整模块，具体用于：将第一识别信息与预设的第二识别信息行对比，对比结果小于预设对比阈值，则确定所述识别信息满足预设条件。
根据一个示例性实施例，所述投影调整模块用于：调整投影画面中对应于所述识别对象指定区域的画面参数。
根据一个示例性实施例，所述投影调整模块，具体用于以下至少之一：调整所述指定区域内投影画面的亮度、调整投影光机亮度、调整投影光机角度。
根据一个示例性实施例，所述识别对象的第一识别信息包括以下至少之一：所述识别对象的第一面部识别特征信息、第一尺寸信息、第一形状信息。
根据一个示例性实施例，所述第一图像包括：采用不可见光成像的第一图像。
本发明实施例所提供的投影控制方法和装置，获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。如此，当检测到投影范围内的识别对象如儿童等时，调整指定区域如儿童头部的投影画面参数，使指定区域亮度降低，避免强光照射伤害，提升用户体验。
附图说明
图1为本发明实施例投影控制方法的流程示意图；
图2为本发明实施例投影仪组成结构示意图；
图3为本发明实施例投影仪投影方法的流程示意图；
图4为本发明实施例投影控制装置的组成结构示意图。
具体实施方式
本发明实施例中，获取投影范围内的第一图像，确定所述第一图像中投影范围内的识 别对象，并获取所述识别对象的第一识别信息；所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。
下面结合实施例对本发明再作进一步详细的说明。
本发明实施例提供的投影控制方法，如图1所示，所述方法包括：
步骤101：获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；
这里，所述投影范围为投影仪等投影装置进行投影时投影画面能涵盖的范围；可以用投影装置内置的摄像装置或外部的摄像装置拍摄投影范围的第一图像；所述第一图像覆盖范围可以大于所述投影范围也可以等于投影范围，优选的，第一图像等于投影范围的时候效果更好，可以准确判断进入投影光线照射的识别对象而不受投影范围外其他对象的影响。拍摄的时机可以是投影过程中，也可以是在投影前。
获取第一图像后，可以对第一图像进行识别，确定图像中是否有识别对象；这里，所述识别对象可以是人尤其是儿童、或者是头像等；可以采用改进的Adaboost算法等现有的图像中的人体检测方法，对所述第一图像中的识别对象进行确定；确定出所述识别对象是否为人体、头部等。
进一步的，可以预先拍摄一张投影范围无识别对象时投影范围的第二图像，由投影装置内部的处理器等，通过图像特征对比法等图像对比算法，对比第一图像和第二图像，确定两个图像的差异，当所述第一图像和第二图像有差异时，可以通过边缘识别等图像分析方法确定出第一图像中的识别对象。
确定识别对象后，可以获取识别对象的识别信息，所述识别信息包括：识别对象的第一面部识别特征信息、和/或第一尺寸信息、和/或第一形状信息等；具体的，可以采用现有的头像识别方法获取所述第一面部识别特征信息，现有的头像识别方法包括：基于统计的识别方法，主要包括特征脸(Eigenface)方法和隐马尔科夫模型(HMM，Hidden Markov Model)方法等；基于连接机制的识别方法，包括人工神经网路(ANN，Artifical Neural Network)方法和弹性图匹配(EBGM，Elastic Bunch Graph Matching)方法等；还有一些其他的综合方法及处理非二维灰度图像的方法等。以特征脸方法为例，可以提取的第一面部识别特征信息包括：瞳距，眉眼距、眼鼻距等面部特征信息。
所述第一尺寸信息可以是头像尺寸信息，如头围等；所述第一形状信息可以是人体形状信息、头像形状信息等；可以通过现有的图像边缘检测方法等确定所述头像的尺寸信息和形状信息，可以将头像形状按照正方形或矩形定义，尺寸信息只记录头像的高(定义为H)和宽(定义为L)，通过圆周率公式c＝πd公式计算出头像的头围尺寸。
根据一个示例性实施例，所述内置的摄像装置或外部的摄像装置可以是不可见光摄像装置，如红外线摄像头等，所述第一图像可以是不可见光图像，如红外线图像；采用不可见光图像可以避免投影装置投影图像对摄像装置拍摄图像的干扰；在一些已有红外摄像装置的投影设备上应用也可以节省成本。
步骤102：所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数；
这里，可以将所述第一识别信息与预设的第二识别信息进行对比，如果对比结果小于预设对比阈值，则调整指定区域内的投影画面参数；其中，第二识别信息和第一识别信息类似，也可以包括：第二面部识别特征信息、和/或第二尺寸信息、和/或第二形状信息等；
具体的，可以将第一面部识别特征信息与预设的第二面部识别特征信息进行对比，以特征脸方法为例，可以对比瞳距，眉眼距、眼鼻距等，可以将对比差异的百分比算数平均值或加权平均值等作为对比结果，当对比结果小于预设对比阈值如15％时，则确定所述识别信息满足预设条件；所述预设对比阈值可以根据图像对比的误差来确定；所述预设的第二面部识别特征可以通过预先拍摄指定识别对象的图像，然后通过上述识别方法提取所述第二面部识别特征；
也可以将第一尺寸信息、和/或第一形状信息分别与预设的第二尺寸信息、和/或第二形状信息进行对比，如将第一图像中的头围信息与预设的头围信息进行比较，可以将对比差异的百分比平均值作为对比结果，当对比结果小于预设对比阈值如15％时，则确定所述识别信息满足预设条件；所述预设对比阈值可以根据图像识别计算误差来确定。第一形状信息可以是人体形状，如将第一图像中的人体形状信息与预设的人体形状信息进行比较，可以将对比差异的百分比平均值作为对比结果，当对比结果小于预设对比阈值如15％时，则确定所述识别信息满足预设条件；
所述对比识别信息，如对比识别对象的第一面部识别特征信息、和/或第一尺寸信息、和/或第一形状信息等，可以采取择一的方式对比，仅仅对比其中的一项；也可以逐一对比直到对比出相同的结果；如可以先比较第一面部识别特征信息，如果没有满足预设条件，则继续比对第一尺寸信息；也可以分别对比，将对比结果做算数或加权等平均数，以确定是否满足预设条件。
所述第一识别信息满足预设条件时，如确定第一图像中的头像识别为预设对象头像，可以调整指定区域内的投影画面参数，避免投影装置的强光直接照射识别对象的光敏感区，如眼睛等；这里，所述指定区域的投影画面可以是整个投影画面覆盖区域，也可以对应于所述识别对象上指定的区域，如识别对象是整个人体时，可以将头部作为指定区域，识别对象是人体头部时，可以将眼部作为指定区域；所述指定区域也可以是以投影画面来划分，如将投影画面的某一部分作为指定区域，如左面三分之一、右面三分之一等。所述调整投影画面包括：调整投影画面的亮度等，可以通过修改原始投影图片的亮度值等方法来实现；调整整个投影画面时，还可以采用调整投影光机亮度、和/或投影光机角度的方法，来起到调整投影亮度的效果；也空间将修改原始投影图片、调整投影光机亮度和投影光机角度等方法结合使用。
所述第一识别信息满足预设条件时，可以由投影装置的处理器等将投影装置缓存中的待投影图像进行图像修改，调整待投影图像对应于指定区域亮度，使投影画面形成局部变暗的图像，并进行投影，如此，投影出的画面在识别对象指定区域形成光线较暗的区域， 以保护指定区域的光敏感部位，如眼睛等。如此，仅仅调整部分投影画面，而不是关闭整个投影，保持投影画面连续，不用再进行重启投影装置，提升了用户体验。
采用本发明实施例的方法，当有儿童进入投影范围时，摄像装置可以拍摄出投影范围的图像，通过图像识别来识别出人体，进一步识别出儿童的识别特征，如脸部特征信息、头围信息等；可以首先将脸部特征信息与预先存储在投影装置中的脸部特征信息对比，对比成功则进行投影画面参数调整；可以将照射向儿童头部或眼部的投影画面的亮度减弱，避免强光照射。如果脸部特征信息对比不匹配，可以继续进行头围信息等比较，匹配后进行投影画面参数调整。
下面结合具体示例对本发明产生的积极效果作进一步详细的描述；
如图2所示，投影仪可以包括图像拍摄模块21、图像处理模块22和投影模块23；其中，
图像拍摄模块21可以内置一个不可见红外摄像头，图像拍摄模块21用于存储不可见摄像头拍摄没有人脸的初始投影图像，同时还接收不可见摄像头拍摄的有人脸的投影图像，并可以通过将该有人脸的图像与初始图像对比分析，计算得出人脸在投影区域的位置、大小和形状信息；
图像处理模块22，用于接收图像拍摄模块21传递的信息，先从存储单元中查询是否有匹配的图像或者数据信息，图像处理模块可以包括两个存储单元：一是图像存储单元221，用于预先存储对比人脸头像；另一个是数据存储单元222，用来存储头围大小等数据存储单元，可以采用国际标准公布的头围数据等；如有相匹配的图像或数据，则图像处理模块22从获取待投影图像并进行图像修改，这里的修改是对拍摄模块21传递的投影图像中人脸覆盖区域光束进行处理，形成局部光束变暗的图像，并传递到投影模块23继续投影，如将覆盖眼睛部分的光束调暗，反之如果图像和大小数据都匹配失败，则投影光束继续正常运行；
投影模块23，用于根据图像处理模块22传递的图像信息进行投影。
投影仪进行图像识别并投影的具体步骤，如图4所示：
步骤301：在投影仪内安装不可见红外摄像头，用于拍摄无人脸初始投影图像和有人脸图像，并进行对比分析，计算出人脸在投影区域的大小、形状和位置等，并将这些信息传递到下一单元；
步骤302：图像处理模块22接收到图像拍摄模块21传递的信息，首先从图像存储单元221检索与之匹配的图像信息，如匹配，转至步骤304，否则，转至步骤303；
步骤303：从数据存储单元222检索匹配信息，主要根据人脸图像的尺寸数据计算出的头围大小来判断，如匹配，转至步骤304，否则，不对图像处理，转至步骤305；
步骤304：图像处理模块22获取待投影图像，并将投影图像中指定区域图像光束亮度调暗至不伤害眼睛的色调；
步骤305：投影模块23根据图像处理模块22传递的信息进行投影。
本发明实施例提供的投影控制装置，如图4所示，识别模块41和投影调整模块42；其中，
所述识别模块41，用于获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；
这里，所述投影范围为投影仪等投影装置进行投影时投影画面能涵盖的范围；可以用投影装置内置的摄像装置或外部的摄像装置拍摄投影范围的第一图像；所述第一图像覆盖范围可以大于所述投影范围也可以等于投影范围，优选的，第一图像等于投影范围的时候效果更好，可以准确判断进入投影光线照射的识别对象而不受投影范围外其他对象的影响。拍摄的时机可以是投影过程中，也可以是在投影前；
获取第一图像后，可以对第一图像进行识别，确定图像中是否有识别对象，这里，所述识别对象可以是人，尤其是儿童、或者是头像等；可以采用改进的Adaboost算法等现有的图像中的人体检测方法，对所述第一图像中的识别对象进行确定；确定出所述识别对象是否为人体、头部等。
根据一个示例性实施例，可以预先拍摄一张投影范围无识别对象时投影范围的第二图像，由投影装置内部的处理器等，通过图像特征对比法等图像对比算法，对比第一图像和第二图像，确定两个图像的差异，当所述第一图像和第二图像有差异时，可以通过边缘识别等图像分析方法确定出第一图像中的识别对象。
确定识别对象后，可以获取识别对象的识别信息，所述识别信息包括：识别对象的第一面部识别特征信息、和/或第一尺寸信息、和/或第一形状信息等；具体的，可以采用现有的头像识别方法获取所述第一面部识别特征信息，现有的头像识别方法包括：基于统计的识别方法，主要包括Eigenface方法和HMM方法等；基于连接机制的识别方法，包括ANN方法和EBGM方法等；还有一些其他的综合方法及处理非二维灰度图像的方法等。以特征脸方法为例，可以提取的第一面部识别特征信息包括：瞳距，眉眼距、眼鼻距等面部特征信息。
所述第一尺寸信息可以是头像尺寸信息，如头围等；所述第一形状信息可以是人体形状信息、头像形状信息等；可以通过现有的图像边缘检测方法等确定所述头像的尺寸信息和形状信息，可以将头像形状按照正方形或矩形定义，尺寸信息只记录头像的高(定义为H)和宽(定义为L)，通过圆周率公式c＝πd公式计算出头像的头围尺寸。
根据一个示例性实施例，所述内置的摄像装置或外部的摄像装置可以是不可见光摄像装置，如红外线摄像头等，所述第一图像可以是不可见光图像，如红外线图像；采用不可见光图像可以避免投影装置投影图像对摄像装置拍摄图像的干扰；在一些已有红外摄像装置的投影设备上应用也可以节省成本。
所述投影调整模块42，用于所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数；
这里，可以将所述第一识别信息与预设的第二识别信息进行对比，如果对比结果小于 预设对比阈值，则调整指定区域内的投影画面参数；其中，第二识别信息和第一识别信息类似，也可以包括：第二面部识别特征信息、和/或第二尺寸信息、和/或第二形状信息等；
具体的，可以将第一面部识别特征信息与预设的第二面部识别特征信息进行对比，以特征脸方法为例，可以对比瞳距，眉眼距、眼鼻距等，可以将对比差异的百分比算数平均值或加权平均值等作为对比结果，当对比结果小于预设对比阈值如15％时，则确定所述识别信息满足预设条件；所述预设对比阈值可以根据图像对比的误差来确定；所述预设的第二面部识别特征可以通过预先拍摄指定识别对象的图像，然后通过上述识别方法提取所述第二面部识别特征。
也可以将第一尺寸信息、和/或第一形状信息分别与预设的第二尺寸信息、和/或第二形状信息进行对比，如将第一图像中的头围信息与预设的头围信息进行比较，可以将对比差异的百分比平均值作为对比结果，当对比结果小于预设对比阈值如15％时，则确定所述识别信息满足预设条件；所述预设对比阈值可以根据图像识别计算误差来确定。第一形状信息可以是人体形状，如将第一图像中的人体形状信息与预设的人体形状信息进行比较，可以将对比差异的百分比平均值作为对比结果，当对比结果小于预设对比阈值如15％时，则确定所述识别信息满足预设条件；
所述对比识别信息，如对比识别对象的第一面部识别特征信息、和/或第一尺寸信息、和/或第一形状信息等，可以采取择一的方式对比，仅仅对比其中的一项；也可以逐一对比直到对比出相同的结果；如可以先比较第一面部识别特征信息，如果没有满足预设条件，则继续比对第一尺寸信息；也可以分别对比，将对比结果做算数或加权等平均数，以确定是否满足预设条件；
所述第一识别信息满足预设条件时，如确定第一图像中的头像识别为预设对象头像，可以调整指定区域内的投影画面参数，避免投影装置的强光直接照射识别对象的光敏感区，如眼睛等；这里，所述指定区域的投影画面可以是整个投影画面覆盖区域，也可以是对应于所述识别对象上指定的区域，如识别对象是整个人体时，可以将头部作为指定区域，识别对象是人体头部时，可以将眼部作为指定区域；所述指定区域也可以是以投影画面来划分，如将投影画面的某一部分作为指定区域，如左面三分之一、右面三分之一等。所述调整投影画面包括：调整投影画面的亮度等，可以通过修改原始投影图片的亮度值等方法来实现；调整整个投影画面时，还可以采用调整投影光机亮度、和/或投影光机角度的方法，来起到调整投影亮度的效果；也空间将修改原始投影图片、调整投影光机亮度和投影光机角度等方法结合使用。
所述第一识别信息满足预设条件时，可以由投影装置的处理器等将投影装置缓存中的待投影图像进行图像修改，调整待投影图像对应于指定区域亮度，使投影画面形成局部变暗的图像，并进行投影，如此，投影出的画面在识别对象指定区域形成光线较暗的区域，以保护指定区域的光敏感部位，如眼睛等。如此，仅仅调整部分投影画面，而不是关闭整个投影，保持投影画面连续，不用再进行重启投影装置，提升了用户体验。
采用本发明实施例的方法，当有儿童进入投影范围时，摄像装置可以拍摄出投影范围的图像，通过图像识别来识别出人体，进一步识别出儿童的识别特征，如脸部特征信息、头围信息等；可以首先将脸部特征信息与预先存储在投影装置中的脸部特征信息对比，对比成功则进行投影画面参数调整；可以将照射向儿童头部或眼部的投影画面的亮度减弱，避免强光照射。如果脸部特征信息对比不匹配，可以继续进行头围信息等比较，匹配后进行投影画面参数调整。
在实际应用中，识别模块41可以由摄像装置结合投影装置中的中央处理器(CPU)、微处理器(MPU)、数字信号处理器(DSP)、或现场可编程门阵列(FPGA)等实现；投影调整模块42可以由投影装置中的CPU、MPU、DSP、或现场可编程门阵列(FPGA)等实现。
以上所述，仅为本发明的最佳实施例而已，并非用于限定本发明的保护范围，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。
工业实用性
本发明实施例提供的技术方案可以应用于投影技术。在本发明实施例提供的技术方案中，获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。如此，当检测到投影范围内的识别对象如儿童等时，调整指定区域如儿童头部的投影画面参数，使指定区域亮度降低，避免强光照射伤害，提升用户体验。

Claims (14)

  1. 一种投影控制方法，包括：
    获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；
    所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。
  2. 根据权利要求1所述的方法，其中，所述确定所述第一图像中投影范围内的识别对象，包括：预先获取投影范围内无识别对象的第二图像，对比第一图像和第二图像确定所述投影范围内的识别对象。
  3. 根据权利要求1所述的方法，其中，所述第一识别信息满足预设条件，包括：将第一识别信息与预设的第二识别信息行对比，对比结果小于预设对比阈值，则确定所述识别信息满足预设条件。
  4. 根据权利要求1所述的方法，其中，所述调整指定区域内的投影画面参数，包括：调整投影画面中对应于所述识别对象指定区域的画面参数。
  5. 根据权利要求1所述的方法，其中，所述调整指定区域内的投影画面参数，包括以下至少之一：调整所述指定区域内投影画面的亮度、投影光机亮度、投影光机角度。
  6. 根据权利要求1至5任一项所述的方法，其中，所述获取所述识别对象的第一识别信息，包括以下至少之一：获取所述识别对象的第一面部识别特征信息、第一尺寸信息、第一形状信息。
  7. 根据权利要求1至5任一项所述的方法，其中，所述获取投影范围内的第一图像，包括：获取投影范围内的采用不可见光成像的第一图像。
  8. 一种投影控制装置，包括：识别模块和投影调整模块；其中，
    所述识别模块，设置为获取投影范围内的第一图像，确定所述第一图像中投影范围内的识别对象，并获取所述识别对象的第一识别信息；
    所述投影调整模块，设置为所述第一识别信息满足预设条件时，调整指定区域内的投影画面参数。
  9. 根据权利要求8所述的装置，其中，所述识别模块设置为：预先获取投影范围内无识别对象的第二图像，对比第一图像和第二图像确定所述投影范围内的识别对象。
  10. 根据权利要求8所述的装置，其中，所述投影调整模块设置为：将第一识别信息与预设的第二识别信息行对比，对比结果小于预设对比阈值，则确定所述识别信息满足预设条件。
  11. 根据权利要求8所述的装置，其中，所述投影调整模块设置为：调整投影画面中对应于所述识别对象指定区域的画面参数。
  12. 根据权利要求8所述的装置，其中，所述投影调整模块设置为以下至少之 一：调整所述指定区域内投影画面的亮度、调整投影光机亮度、调整投影光机角度。
  13. 根据权利要求8至12任一项所述的装置，其中，所述识别对象的第一识别信息，包括以下至少之一：所述识别对象的第一面部识别特征信息、第一尺寸信息、第一形状信息。
  14. 根据权利要求8至12任一项所述的装置，其中，所述第一图像，包括：采用不可见光成像的第一图像。
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