CN104660904A - Shooting subject recognition method and device - Google Patents
Shooting subject recognition method and device Download PDFInfo
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- CN104660904A CN104660904A CN201510096219.0A CN201510096219A CN104660904A CN 104660904 A CN104660904 A CN 104660904A CN 201510096219 A CN201510096219 A CN 201510096219A CN 104660904 A CN104660904 A CN 104660904A
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Abstract
The invention applies to the technical field of intelligent devices, and provides a shooting subject recognition method and device. The method comprises the following steps: after an intelligent device starts a shooting function, field depth information of each shooting object in a preview window is acquired when detected jitter of the intelligent device meets preset conditions; the shooting object, having the minimum distance with a plane where a lens is located, in the preview window is acquired according to the field depth information; and the shooting object having the minimum distance with the plane where the lens is located is taken as the shooting subject for focusing treatment, wherein the field depth information is the information of the distance between the shooting object in the preview window and the plane where the lens is located. When a user finds a view for shooting and performs picture composition, the nearest shooting object is automatically recognized as the shooting subject according to the field depth information of the shooting object, the time for selecting the shooting subject is saved for the user, and the shooting intelligent degree is further increased.
Description
Technical field
The invention belongs to technical field of intelligent equipment, particularly relate to the shooting body recognition methods and device.
Background technology
User is taking, and existing technique for taking manually can only specify the shooting body, with whole focal position, and cannot by the distance Intelligent Recognition the shooting body of object and camera lens.
Summary of the invention
Given this, the embodiment of the present invention provides a kind of the shooting body recognition methods based on the object depth of field and device, to obtain the shooting body by the distance between object and camera lens and to carry out focusing process to the shooting body, improves the intelligence degree of shooting.
First aspect, a kind of the shooting body recognition methods, described method comprises:
After smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtain the depth of view information of each reference object in the preview window;
Reference object minimum with camera lens place plan range in the preview window is obtained according to described depth of view information;
With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process;
Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window.
Further, before carrying out focusing process using the described reference object minimum with camera lens place plan range as the shooting body, described method also comprises:
In the preview window, the described reference object minimum with camera lens place plan range is identified according to predetermined manner.
Further, describedly pre-conditionedly default dithering threshold is less than or equal to for the jitter distance of described smart machine in preset time range.
Further, described when detecting that the shake of described smart machine meets pre-conditioned, the depth of view information obtaining each reference object in the preview window specifically comprises:
Judge whether the jitter distance of smart machine in preset time range is less than or equal to default dithering threshold;
When judged result is for being, obtain the depth of view information of each reference object in the preview window.
Further, in described acquisition the preview window, the depth of view information of each reference object is specially:
The depth of view information of each reference object in the preview window is obtained by twin-lens.
Second aspect, a kind of the shooting body recognition device, described device comprises:
First acquisition module, for after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window;
Second acquisition module, for obtaining reference object minimum with camera lens place plan range in the preview window according to described depth of view information;
Focusing module, for the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process;
Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window.
Further, described device also comprises:
Identification module, for identifying the described reference object minimum with camera lens place plan range in the preview window according to predetermined manner.
Further, describedly pre-conditionedly default dithering threshold is less than or equal to for the jitter distance of described smart machine in preset time range.
Further, described first acquisition module comprises:
Judging unit, for judging whether the jitter distance of smart machine in preset time range is less than or equal to default dithering threshold;
Acquiring unit, for when the judged result of judging unit is for being, obtains the depth of view information of each reference object in the preview window.
Further, described acquiring unit specifically for:
The depth of view information of each reference object in the preview window is obtained by twin-lens.
Compared with prior art, the embodiment of the present invention, after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window; And obtain reference object minimum with camera lens place plan range in the preview window according to described depth of view information; With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process; Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window; Thus achieve user carry out taking pictures find a view or composition time, automatically identify that nearest reference object is the shooting body by the depth of view information of reference object, saved the time that user chooses the shooting body, further increased the intelligence degree of shooting.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the first realization flow figure of the shooting body recognition methods that the embodiment of the present invention one provides;
Fig. 2 is the second realization flow figure of the shooting body recognition methods that the embodiment of the present invention two provides;
Fig. 3 is the composition structure chart of the shooting body recognition device that the embodiment of the present invention three provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The embodiment of the present invention, after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window; And obtain reference object minimum with camera lens place plan range in the preview window according to described depth of view information; With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process; Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window; Thus achieve user carry out taking pictures find a view or composition time, automatically identify that nearest reference object is the shooting body by the depth of view information of reference object, saved the time that user chooses the shooting body, further increased the intelligence degree of shooting.The embodiment of the present invention additionally provides corresponding device, is described in detail respectively below.
embodiment one
Fig. 1 shows the first realization flow of the shooting body recognition methods that the embodiment of the present invention one provides, and for convenience of explanation, illustrate only part related to the present invention.
In embodiments of the present invention, described method is applied to smart machine, described smart machine includes but not limited to mobile phone, pocket computer (Pocket personal Computer, PPC), palmtop PC, personal digital assistant (Personal Digital Assistant, PDA), smart camera, intelligent camera etc., preferably smart mobile phone, panel computer etc.Described smart machine is provided with twin-lens, possesses and take pictures and/or camera function.
As shown in Figure 1, described method comprises:
In step S101, after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtain the depth of view information of each reference object in the preview window.
In embodiments of the present invention, user inputs enabled instruction and takes pictures or camera function to start in smart machine, the preview window that smart machine is taken according to described instruction unpack.Whether preferably, described in the embodiment of the present invention, smart machine is after opening the preview window, judge that user is current finding a view or composition by the jitter conditions detecting self.The embodiment of the present invention has preset shake and stable decision condition, when detect the shake of described smart machine meet described pre-conditioned time, then judge that user is current and finding a view or composition.Now, smart machine detects in real time and obtains each reference object in the preview window, and the depth of view information that each reference object is corresponding.
Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window, and described range information reflects the distance of the reference object in the preview window relative to user.
Exemplarily, the embodiment of the present invention arranges a gyroscope on described smart machine.Smart machine start take pictures or camera function time, detected the jitter conditions of smart machine by described gyroscope.When the jitter conditions that described gyroscope detects meets pre-conditioned, show that smart machine stabilizes a period of time, then judge that active user is finding a view or composition, obtain each reference object in the preview window and depth of view information corresponding to described reference object.
In step s 102, reference object minimum with camera lens place plan range in the preview window is obtained according to described depth of view information.
Described depth of view information is the range information of the reference object distance camera lens place plane in the preview window, therefore, the depth of view information of each relatively more accessed reference object, to obtain the minimum value of depth of view information, and obtains reference object corresponding to described depth of view information minimum value.
In step s 103, with the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process.
The embodiment of the present invention with the minimum reference object of camera lens place plan range for the shooting body, and according to the position of described the shooting body adjustment camera lens, to realize the focusing to described the shooting body.
In sum, the embodiment of the present invention, after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window; And obtain reference object minimum with camera lens place plan range in the preview window according to described depth of view information; With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process; Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window; Thus achieve user carry out taking pictures find a view or composition time, automatically identify that nearest reference object is the shooting body and carries out focusing process by the depth of view information of reference object, further increase the intelligence degree of shooting, and effectively save the time that user chooses the shooting body.
embodiment two
Fig. 2 shows the second realization flow of the photographed subject recognition methods that the embodiment of the present invention two provides, and for convenience of explanation, illustrate only part related to the present invention.
As shown in Figure 2, described method comprises:
In step s 201, start shoot function, open the preview window.
In step S202, judge whether the jitter distance of smart machine in preset time range is less than or equal to default dithering threshold.
After shoot function starts, smart machine opens the preview window, and is detected the jitter conditions of self by gyroscope etc. in real time.If when detecting that the jitter distance of described smart machine in preset time range is less than or equal to default dithering threshold, then judge that user is current and finding a view or composition, smart machine is in metastable state, then perform step S203.Otherwise, return step S202, continue the jitter conditions detecting smart machine.
Exemplarily, suppose that Preset Time is t, default dithering threshold is m, then the jitter distance of smart machine within the scope of preset time t is
if
be less than or equal to default dithering threshold m, then perform step S203.Wherein, described Δ x is the component on the x-axis direction of the displacement of smart machine in preset time t in three-dimensional system of coordinate, Δ y is the component of the displacement of smart machine in preset time t in three-dimensional system of coordinate on y-axis direction, and Δ z is the component of the displacement of smart machine in preset time t in three-dimensional system of coordinate on z-axis direction.
In step S203, obtain the depth of view information of each reference object in the preview window.
In embodiments of the present invention, when the jitter conditions of smart machine is less than or equal to default dithering threshold, detects the reference object comprised in the preview window, and obtain the depth of view information of each reference object.It should be noted that, described depth of view information refers to the range information of the reference object distance camera lens place plane in the preview window.
Preferably, the embodiment of the present invention obtains the depth of view information of each reference object in the preview window by twin-lens.
In step S204, obtain reference object minimum with camera lens place plan range in the preview window according to described depth of view information.
In step S205, in the preview window, identify the described reference object minimum with camera lens place plan range according to predetermined manner.
The embodiment of the present invention with the minimum reference object of camera lens place plan range for the shooting body, and in the preview window, identify described the shooting body by predetermined manner, to inform the shooting body that user is current, i.e. position of this focusing.
Wherein, described predetermined manner includes but not limited to sketch out the reference object minimum with camera lens place plan range, described reference object and the shooting body with dashed rectangle or broken circle frame etc.
In step S206, with the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process.
With with the minimum reference object of camera lens place plan range for the shooting body, automatically the position of camera lens is adjusted according to described the shooting body, to realize focusing to described the shooting body, thus make to the defocused photo shot or video the most clear in the part of described the shooting body.
The embodiment of the present invention, after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window; And obtain reference object minimum with camera lens place plan range in the preview window according to described depth of view information; With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process; Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window; Thus achieve user carry out taking pictures find a view or composition time, automatically identify that nearest reference object is the shooting body and carries out focusing process by the depth of view information of reference object, effectively save the time that user chooses the shooting body, further increase the intelligence degree of shooting.
embodiment three
Fig. 3 shows the composition structure of the shooting body recognition device that the embodiment of the present invention three provides, and for convenience of explanation, illustrate only part related to the present invention.
In embodiments of the present invention, described method, for realizing the shooting body recognition methods described in Fig. 1 or Fig. 2 embodiment, can be the unit being built in the software unit of smart machine, hardware cell or software and hardware combining.Described smart machine includes but not limited to mobile phone, pocket computer (Pocket personalComputer, PPC), palmtop PC, personal digital assistant (Personal Digital Assistant, PDA), smart camera, intelligent camera etc., preferably smart mobile phone, panel computer.Described smart machine possesses takes pictures and/or camera function, and is provided with twin-lens.
As shown in Figure 3, described device comprises:
First acquisition module 31, for after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window.
Second acquisition module 32, for obtaining reference object minimum with camera lens place plan range in the preview window according to described depth of view information.
Focusing module 33, for the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process.
Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window.
Preferably, the embodiment of the present invention can also after to get the reference object minimum with camera lens place plan range be the shooting body, in the preview window, described the shooting body is identified by predetermined manner, to inform the shooting body that user is current, i.e. the position of this focusing.Therefore, described device also comprises:
Identification module 34, for identifying the described reference object minimum with camera lens place plan range in the preview window according to predetermined manner.
Wherein, described predetermined manner includes but not limited to sketch out the reference object minimum with camera lens place plan range, described reference object and the shooting body with dashed rectangle or broken circle frame etc.
Preferably, describedly pre-conditionedly default dithering threshold is less than or equal to for the jitter distance of smart machine in preset time range.
Described first acquisition module 31 also comprises:
Judging unit 311, for judging whether the jitter distance of smart machine in preset time range is less than or equal to default dithering threshold.
Acquiring unit 312, for when the judged result of judging unit is for being, obtains the depth of view information of each reference object in the preview window.
Further, described acquiring unit 312 specifically for:
The depth of view information of each reference object in the preview window is obtained by twin-lens.
It should be noted that, device in the embodiment of the present invention may be used for the whole technical schemes realized in said method embodiment, the function of its each functional module can according to the method specific implementation in said method embodiment, its specific implementation process can refer to the associated description in above-described embodiment, repeats no more herein.
The embodiment of the present invention, after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window; And obtain reference object minimum with camera lens place plan range in the preview window according to described depth of view information; With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process; Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window; Thus achieve user carry out taking pictures find a view or composition time, automatically identify that nearest reference object is the shooting body and carries out focusing process by the depth of view information of reference object, effectively save the time that user chooses the shooting body, further increase the intelligence degree of shooting.
Those of ordinary skill in the art can recognize, in conjunction with unit and the algorithm steps of each example of embodiment disclosed herein description, can realize with the combination of electronic hardware or computer software and electronic hardware.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can use distinct methods to realize described function to each specifically should being used for, but this realization should not thought and exceeds scope of the present invention.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the specific works process of the system of foregoing description, device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that disclosed apparatus and method can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.
If described function using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part of the part that technical scheme of the present invention contributes to prior art in essence in other words or this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. various can be program code stored medium.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with the protection range of claim.
Claims (10)
1. a shooting body recognition methods, is characterized in that, described method comprises:
After smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtain the depth of view information of each reference object in the preview window;
Reference object minimum with camera lens place plan range in the preview window is obtained according to described depth of view information;
With the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process;
Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window.
2. the shooting body recognition methods as claimed in claim 1, it is characterized in that, before carrying out focusing process using the described reference object minimum with camera lens place plan range as the shooting body, described method also comprises:
In the preview window, the described reference object minimum with camera lens place plan range is identified according to predetermined manner.
3. the shooting body recognition methods as claimed in claim 1, is characterized in that, is describedly pre-conditionedly less than or equal to default dithering threshold for the jitter distance of described smart machine in preset time range.
4. the shooting body recognition methods as claimed in claim 3, is characterized in that, described when detecting that the shake of described smart machine meets pre-conditioned, and the depth of view information obtaining each reference object in the preview window specifically comprises:
Judge whether the jitter distance of smart machine in preset time range is less than or equal to default dithering threshold;
When judged result is for being, obtain the depth of view information of each reference object in the preview window.
5. the shooting body recognition methods as claimed in claim 4, it is characterized in that, in described acquisition the preview window, the depth of view information of each reference object is specially:
The depth of view information of each reference object in the preview window is obtained by twin-lens.
6. a shooting body recognition device, is characterized in that, described device comprises:
First acquisition module, for after smart machine starts shoot function, when detecting that the shake of described smart machine meets pre-conditioned, obtains the depth of view information of each reference object in the preview window;
Second acquisition module, for obtaining reference object minimum with camera lens place plan range in the preview window according to described depth of view information;
Focusing module, for the described reference object minimum with camera lens place plan range for the shooting body carries out focusing process;
Wherein, described depth of view information is the range information of the reference object distance camera lens place plane in the preview window.
7. the shooting body recognition device as claimed in claim 6, it is characterized in that, described device also comprises:
Identification module, for identifying the described reference object minimum with camera lens place plan range in the preview window according to predetermined manner.
8. the shooting body recognition device as claimed in claim 6, is characterized in that, is describedly pre-conditionedly less than or equal to default dithering threshold for the jitter distance of described smart machine in preset time range.
9. photographed subject recognition device as claimed in claim 8, it is characterized in that, described first acquisition module comprises:
Judging unit, for judging whether the jitter distance of smart machine in preset time range is less than or equal to default dithering threshold;
Acquiring unit, for when the judged result of judging unit is for being, obtains the depth of view information of each reference object in the preview window.
10. the shooting body recognition device as claimed in claim 9, is characterized in that, described acquiring unit specifically for:
The depth of view information of each reference object in the preview window is obtained by twin-lens.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105049640A (en) * | 2015-08-31 | 2015-11-11 | 努比亚技术有限公司 | Device and method for realizing focusing |
| CN105516599A (en) * | 2015-12-31 | 2016-04-20 | 华勤通讯技术有限公司 | Automatic photographing method, device and mobile terminal |
| CN106101542A (en) * | 2016-06-28 | 2016-11-09 | 广东欧珀移动通信有限公司 | A kind of image processing method and terminal |
| CN106845472A (en) * | 2016-12-30 | 2017-06-13 | 深圳仝安技术有限公司 | A kind of novel intelligent wrist-watch scans explanation/interpretation method and novel intelligent wrist-watch |
| CN106875433A (en) * | 2017-03-09 | 2017-06-20 | 广东欧珀移动通信有限公司 | Cut control method, control device and the electronic installation of composition |
| CN109361862A (en) * | 2018-11-15 | 2019-02-19 | 安徽盛联电力科技有限公司 | A kind of intelligence image pickup method and its device |
| CN111935389A (en) * | 2019-12-30 | 2020-11-13 | 苏州臻迪智能科技有限公司 | Shot object switching method and device, shooting equipment and readable storage medium |
| WO2021057474A1 (en) * | 2019-09-24 | 2021-04-01 | Oppo广东移动通信有限公司 | Method and apparatus for focusing on subject, and electronic device, and storage medium |
| CN114930798A (en) * | 2019-12-30 | 2022-08-19 | 苏州臻迪智能科技有限公司 | Shooting object switching method and device, and image processing method and device |
| CN115830064A (en) * | 2022-10-24 | 2023-03-21 | 北京邮电大学 | Weak and small target tracking method and device based on infrared pulse signals |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040151486A1 (en) * | 2003-01-31 | 2004-08-05 | Goris Andrew C. | Camera with indication of measure of focus as a function of focal distance |
| CN101364029A (en) * | 2007-08-10 | 2009-02-11 | 佳能株式会社 | Image capturing apparatus and control method therefor |
| CN102457675A (en) * | 2010-10-27 | 2012-05-16 | 展讯通信（上海）有限公司 | Image shooting anti-shake mode of handheld camera equipment |
| CN102625036A (en) * | 2011-01-25 | 2012-08-01 | 株式会社尼康 | Image processing apparatus, image capturing apparatus and recording medium |
| CN103051836A (en) * | 2012-12-14 | 2013-04-17 | 中兴通讯股份有限公司 | Anti-shake photographing method and anti-shake photographing device for mobile terminal |
| CN103475805A (en) * | 2012-06-08 | 2013-12-25 | 鸿富锦精密工业（深圳）有限公司 | Active range focusing system and active range focusing method |
| CN103873760A (en) * | 2012-12-17 | 2014-06-18 | 联想(北京)有限公司 | Focusing point adjusting method and electronic equipment |
| CN104125395A (en) * | 2014-05-30 | 2014-10-29 | 深圳市中兴移动通信有限公司 | Method and device for realizing automatic shooting |
| CN104243828A (en) * | 2014-09-24 | 2014-12-24 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and terminal for shooting pictures |
| CN104243809A (en) * | 2013-06-20 | 2014-12-24 | 卡西欧计算机株式会社 | Imaging apparatus and imaging method for imaging target subject and storage medium |
-
2015
- 2015-03-04 CN CN201510096219.0A patent/CN104660904A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040151486A1 (en) * | 2003-01-31 | 2004-08-05 | Goris Andrew C. | Camera with indication of measure of focus as a function of focal distance |
| CN101364029A (en) * | 2007-08-10 | 2009-02-11 | 佳能株式会社 | Image capturing apparatus and control method therefor |
| CN102457675A (en) * | 2010-10-27 | 2012-05-16 | 展讯通信（上海）有限公司 | Image shooting anti-shake mode of handheld camera equipment |
| CN102625036A (en) * | 2011-01-25 | 2012-08-01 | 株式会社尼康 | Image processing apparatus, image capturing apparatus and recording medium |
| CN103475805A (en) * | 2012-06-08 | 2013-12-25 | 鸿富锦精密工业（深圳）有限公司 | Active range focusing system and active range focusing method |
| CN103051836A (en) * | 2012-12-14 | 2013-04-17 | 中兴通讯股份有限公司 | Anti-shake photographing method and anti-shake photographing device for mobile terminal |
| CN103873760A (en) * | 2012-12-17 | 2014-06-18 | 联想(北京)有限公司 | Focusing point adjusting method and electronic equipment |
| CN104243809A (en) * | 2013-06-20 | 2014-12-24 | 卡西欧计算机株式会社 | Imaging apparatus and imaging method for imaging target subject and storage medium |
| CN104125395A (en) * | 2014-05-30 | 2014-10-29 | 深圳市中兴移动通信有限公司 | Method and device for realizing automatic shooting |
| CN104243828A (en) * | 2014-09-24 | 2014-12-24 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and terminal for shooting pictures |
Non-Patent Citations (1)
| Title |
|---|
| 赵琳: "《将摄影还给大众-7天摄影入门》", 31 January 2013 * |
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