CN106441822A - Virtual reality headset distortion detection method and device - Google Patents
Virtual reality headset distortion detection method and device Download PDFInfo
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- CN106441822A CN106441822A CN201611076940.4A CN201611076940A CN106441822A CN 106441822 A CN106441822 A CN 106441822A CN 201611076940 A CN201611076940 A CN 201611076940A CN 106441822 A CN106441822 A CN 106441822A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
- G01M11/0257—Testing optical properties by measuring geometrical properties or aberrations by analyzing the image formed by the object to be tested
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Abstract
The invention provides a virtual reality headset distortion detection method and a device. The method and the device comprise a detecting unit, an observational unit, an image unit and a processing unit. The detecting unit comprises a virtual reality headset to be detected and a fixed structure. The image unit is electrically connected with the observational unit and the processing unit respectively. Compared with the prior art, according to the virtual reality headset distortion detection method and device, a problem about optical distortion detection is simply and effectively resolved by making a combination of the detecting unit, the observational unit, the image unit and the processing unit. A clamping device is installed on the fixed structure so that the virtual reality headset to be detected is convenient to be changed and the virtual reality headset distortion detection method and device is convenient to be used repeatedly.
Description
Technical field
A kind of the present invention relates to field of virtual reality, more particularly, it relates to method of virtual implementing helmet Distortion Detect
And device.
Background technology
In virtual reality system, in order to allow user visually have real feeling of immersion, virtual reality device will
Covering the visual range of human eye as far as possible, is therefore accomplished by a specific sphere radian eyeglass being filled in virtual reality device,
But when being projected traditional image in the eye of people using Arc lenses, image is distortion, and human eye just has no idea to obtain
Positioning in Virtual Space, i.e., in virtual reality, your periphery is all the image of distortion.This problem is solved it is necessary to first turn round
Turn image, the corresponding fault image of distortion eyeglass is generated by specific algorithm, then these fault images are through distortion mirror
After piece projects human eye, normal image will be become, so as to allow people feel the projection of real position and big visual angle model
The covering that encloses.Current lens manufacturer can make eyeglass according to certain distortion parameter, and these eyeglasses are by virtual reality head
The manufacturer of helmet is assembled on virtual implementing helmet.User and software development for common virtual implementing helmet
For person, due to there is no the instrument that can detect virtual implementing helmet distortion parameter, except asking for distortion to eyeglass manufacturer
Distortion parameter cannot be intuitively obtained beyond parameter, largely have impact on exploitation and the use of virtual reality software.
Content of the invention
The defect of virtual implementing helmet distortion parameter cannot be detected in order to solve current virtual real world devices, the present invention is provided
A kind of method and device of virtual implementing helmet distortion parameter detection.
The technical solution adopted for the present invention to solve the technical problems is：A kind of virtual implementing helmet Distortion Detect is provided
Method, comprises the following steps：
S1：Mobile observation unit observes virtual implementing helmet to be detected to point of observation, in the virtual reality head to be detected
Detection image is played in helmet, and the image that elementary area is observed to the observation unit is processed；
S2：When described image unit detects the image that the observation unit observes and meets pre-conditioned, the figure
As unit transmission detection information is to processing unit；
S3：After the processing unit receives the detection information of described image unit transmission, record detection image information with
The corresponding relation of the observation unit position, the observation unit moves to next point of observation and is observed；
S4：The processing unit is fitted with the corresponding relation of the observation unit position according to the multiple series of images information of record
Distortion function in data base, and record the result of fitting.
Preferably, the light of the virtual implementing helmet transmitting to be detected is reflected via optical glass, the observation
Unit observes the light of the virtual implementing helmet transmitting to be detected by the angle for simulating human eye visual angle.
Preferably, further comprising the steps：
S5：When data fitting is unsuccessful, the processing unit stores corresponding relation in the way of point function.
Preferably, play detection image in the virtual implementing helmet to be detected to comprise the following steps：
The display screen of virtual implementing helmet to be detected described in S1.1 is from the first of the display screen in units of column of pixels
Hold to the second end and show longitudinal light successively；
Described in S1.2, virtual implementing helmet to be detected is along the display screen from the display screen in units of entire row of pixels
3rd end shows transverse light rays successively to the 4th end.
Preferably, the picture centre for shooting in the observation unit arranges target center, when described image unit detect described
When the light image that observation unit is observed is in target center, described image unit transmission detection information is to the processing unit.
A kind of device of virtual implementing helmet Distortion Detect is provided, including detector unit, observation unit, elementary area and place
Reason unit, the detector unit includes virtual implementing helmet to be detected, fixed structure, described image unit and the observation list
First, described processing unit is electrically connected with, and the processing unit and the detector unit are electrically connected with, the virtuality to be detected
The real helmet includes that display screen and optical glass, the display screen and the optical glass are oppositely arranged.
Preferably, the fixed structure includes clamping device, position-limit mechanism and base plate, and the clamping device can be opened,
Close after being put into the virtual implementing helmet to be detected, the fixation virtual implementing helmet to be detected.
Preferably, the observation unit includes workina ocular, eyepiece track, eyepiece motor, elevating lever and lifting motor, institute
Stating workina ocular can be in the translation of eyepiece track and rotation described in the drive lower edge of the eyepiece motor, the workina ocular and institute
State elevating lever to be connected, it is possible to follow one lifting of the elevating lever, the elevating lever can by the control of the lifting motor
To lift in vertical direction.
Preferably, the observation unit includes base, movable plate, workina ocular, movable plate track, eyepiece track and eyepiece
Motor, the workina ocular can be set in eyepiece track motion described in the drive lower edge of the eyepiece motor, the eyepiece track
Put on the movable plate, the movable plate can drive the workina ocular, the eyepiece motor and the eyepiece track one
Rise along the movable plate track motion.
Preferably, the observation unit includes two groups of facilities for observations, and the facilities for observation includes workina ocular, eyepiece track
With eyepiece motor, facilities for observation described in two groups observed to left eye and the corresponding fault image of right eye respectively.
Compared with prior art, the present invention is using the view mode of observation unit simulation human eye to virtual reality head to be detected
The image information that helmet is played is observed, and establishes the position and workina ocular that puts on display screen on virtual implementing helmet to be detected
Observation place one-to-one relation, be fitted distortion function using the corresponding relation, there is provided a kind of detection void to be detected
The method for intending real helmet distortion function.Observation unit observes virtual implementing helmet to be detected by simulating human eye visual angle angle
The light of transmitting, is conducive to preferably simulating the observational technique of human eye, and result of its detection is also more nearly that human eye is actual to be seen
The image for arriving, improves accuracy and adaptability.Show that the method for showing with entire row of pixels line by line is carried by column using column of pixels
A kind of method for setting up function corresponding relation is supplied, can easily have been tried to achieve point of observation and correspond to the abscissa of screen position and vertical seat
Mark.By target center being arranged in the image captured by observation unit, can increase accuracy and the efficiency of detection.Single using detection
Unit, observation unit, the combination of elementary area and processing unit effectively simply solve the problems, such as that optical distortion is detected.Solid
Clamping device is set on fixed structure virtual implementing helmet to be detected can be convenient for changing, facilitate the reuse of the present invention.Pass through
Eyepiece motor belt motor moves observation unit along eyepiece track motion, and lifting motor can facilitate to the lifting of observation unit from multiple
Angles and positions facilitate the setting of multiple points of observation being observed.Observation mesh can conveniently be driven by the setting of movable plate
Mirror is conveniently transferred to next position to be detected along movable plate track motion after a position has been detected.Two groups of facilities for observations
Can measure respectively, be favorably improved Efficiency and accuracy.
Description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing：
Fig. 1 is the module diagram of virtual implementing helmet Distortion Detect device of the present invention；
Fig. 2 is detector unit module diagram；
Fig. 3 is virtual implementing helmet Distortion Detect device first embodiment schematic diagram of the present invention；
Fig. 4 is virtual implementing helmet Distortion Detect device first embodiment side schematic view of the present invention；
Fig. 5 is virtual implementing helmet Distortion Detect device second embodiment schematic diagram of the present invention；
Fig. 6 is virtual implementing helmet Distortion Detect device second embodiment side schematic view of the present invention；
Fig. 7 is virtual implementing helmet Distortion Detect device 3rd embodiment schematic diagram of the present invention.
Specific embodiment
The defect of virtual implementing helmet distortion parameter cannot be detected in order to solve current virtual real world devices, the present invention is provided
A kind of method and device of virtual implementing helmet Distortion Detect.
In order to be more clearly understood to the technical characteristic of the present invention, purpose and effect, now control accompanying drawing detailed description
The specific embodiment of the present invention.
Refer to Fig. 1 Fig. 2, virtual implementing helmet Distortion Detect device of the present invention include detector unit 1, observation unit 2,
Elementary area 3 and processing unit 4.Wherein, detector unit 1 includes virtual implementing helmet to be detected 12, fixed structure 14, to be detected
Virtual implementing helmet 12 is removably attached on fixed structure 14.Elementary area 3 is electrically connected with observation unit 2, is processed single
Unit 4 is electrically connected with elementary area 3.Observation unit 2 is observed to detector unit 1 by way of shooting image, and observation is single
Unit 2 with the image of shot detection unit 1, and the image transmitting of shooting can be processed to elementary area 3, and elementary area 3 can
So that the image of the shooting of observation unit 2 is processed, and result is transferred to processing unit 4 is processed, processing unit 4 is according to figure
As the data that unit 3 is transmitted are processed, and distortion function is fitted according to data processed result.Processing unit 4 at the same with detection
Unit 1 is electrically connected with, in use can be by the virtual implementing helmet to be detected 12 of 4 order detector unit 1 of processing unit
Show detection image, the image that elementary area 3 is observed to observation unit 2 is processed, when elementary area 3 detects observation list
When the image that unit 2 observes meets pre-conditioned, elementary area 3 is surveyed and carries the information to processing unit 4, and processing unit 4 stores phase
Pass information.After a point of observation observation is finished, observation unit 2 moves to next point of observation and is observed, and elementary area 3 will
The corresponding relation of the point of observation is delivered to processing unit 4.Through multigroup observation, processing unit 4 is fitted according to multiple corresponding relations
The distortion function being stored in data base, stores corresponding relation if fitting is unsuccessful in the way of point function.Observation unit 2
Calibration position can be specified as needed, measure the shooting figure that calibration position is typically arranged on observation unit 2 for convenience
The center of picture, can arrange the target center of one fixed width around the position, can consider when luminous point image falls in target center
The display information of virtual implementing helmet to be detected 12 reaches the calibration position of observation unit 2 after distortion.
Fig. 3 Fig. 4 shows the first embodiment of virtual implementing helmet Distortion Detect device as an example, void to be detected
Intend the real helmet 12 to be removably mounted in fixed structure 14, fixed structure 14 includes clamping device 142,141 and of position-limit mechanism
Base plate 143, wherein, clamping device 142 can be opened, and close, play fixation to be checked after being put into virtual implementing helmet to be detected 12
Survey the effect of virtual implementing helmet 12.Position-limit mechanism 141 can precisely limit the position of virtual implementing helmet to be detected 12, prevent
12 position of virtual implementing helmet to be detected is excessively forward or affects measurement result, position-limit mechanism 141 and clamping device 142 solid rearward
It is scheduled on base plate 143.Virtual implementing helmet to be detected 12 includes display screen 16 and optical glass 18, and display screen 16 can be according to place
The instruction of reason unit 4 shows pertinent image information, and the light that display screen 16 is launched is reflected via optical glass 18.Observation is single
Unit 2 includes workina ocular 23, eyepiece track 25, eyepiece motor 271, lifting motor 272 and elevating lever 273, and workina ocular 23 can
With 25 translation of drive lower edge eyepiece track in eyepiece motor 271, and can rotational transform under the drive of eyepiece motor 271
Viewing angle.Workina ocular 23 is connected with elevating lever 273, it is possible to follow 273 1 lifting of elevating lever.Elevating lever 273 is received
The control of lifting motor 272 can be lifted in vertical direction.When using, eyepiece motor 271, lifting motor 272 can be with translations
Coordinate and rotate and lift, make workina ocular 23 that different observation places are reached, simulation direction of visual lines observes virtual reality to be detected
The light that the helmet 12 is launched.
Fig. 5 Fig. 6 shows the second embodiment of virtual implementing helmet Distortion Detect device as an example, real second
Apply in example, detector unit 1 is essentially identical with structure in first embodiment.Virtual implementing helmet to be detected 12 is removably mounted at
In fixed structure 14.Observation unit 2 includes movable plate 22, workina ocular 23, movable plate track 24, eyepiece track 25 and eyepiece electricity
Machine 271, workina ocular 23 can be moved in the drive lower edge eyepiece track 25 of eyepiece motor 271, convert viewing angle.Eyepiece rail
Road 25 is arranged on movable plate 22, and movable plate 22 can drive workina ocular 23, eyepiece motor 271 and eyepiece track 25 edge together
Movable plate track 24 moves, and movable plate 22 can be fixed in left eye point of observation 26 and 28 two observation places of right eye point of observation.
Movable plate 22 is connected with elevating lever 273, it is possible to follow 273 1 lifting of elevating lever.Lifting motor 272 received by elevating lever 273
Control can lift in vertical direction.When using, eyepiece motor 271, lifting motor 272 can coordinate rotation with translation and rise
Drop, makes workina ocular 23 reach different observation places, simulates direction of visual lines and observes what virtual implementing helmet 12 to be detected was launched
Light.
Fig. 7 shows the 3rd embodiment of virtual implementing helmet Distortion Detect device as an example, in 3rd embodiment
In, detector unit 1 is essentially identical with structure in first embodiment, and virtual implementing helmet to be detected 12 is removably mounted at fixation
In structure 14.Observation unit 2 includes two groups of facilities for observations 20, and two groups of facilities for observations 20 are respectively to left eye and the corresponding distortion of right eye
Image is observed.Facilities for observation 20 includes workina ocular 23, eyepiece track 25 and eyepiece motor 271, and workina ocular 23 is permissible
Move in the drive lower edge eyepiece track 25 of eyepiece motor 271, convert viewing angle.
When using, clamping device 142 is first turned on, is put into virtual implementing helmet to be detected 12.Reset eyepiece motor
271, make eyepiece motor 271 reach the initial position of one end of eyepiece track 25.Now, before detecting, preparation is completed.Work as place
After reason unit 4 receives the order for starting to detect, eyepiece motor 271 and lifting motor 272 drive workina ocular 23 to reach first
Individual point of observation, meanwhile, processing unit 4 orders virtual implementing helmet to be detected 12 to show detection information, first, to be detected virtual existing
The display screen 16 of the real helmet 12 shows longitudinal light from the first end of display screen 16 to the second end in units of column of pixels by column,
First end and the second end are relative, artificially can specify as needed, and generally we specify and wear virtual reality to be detected
After the helmet 12, display screen 16 is first end with respect to the left end of wearer, and display screen 16 is second with respect to the right-hand member of wearer
End, when the display information that elementary area 3 detects virtual implementing helmet to be detected 12 reaches the mark of observation unit 2 after distortion
Positioning is when putting, and elementary area 3 carries the information to processing unit 4, and processing unit 4 records the now position of observation unit 2 and to be checked
Survey the abscissa positions of light in virtual implementing helmet 12；The display screen 16 of virtual implementing helmet to be detected 12 with entire row of pixels is
Unit shows transverse light rays from the 3rd end of display screen 16 line by line to the 4th end, and the 3rd end and the 4th end are relative, can be according to need
Very important person is specified, and after generally we specify and wear virtual implementing helmet to be detected 12, display screen 16 is with respect to wearer's
Upper end is the 3rd end, and display screen 16 is the 4th end with respect to the lower end of wearer, when elementary area 3 detects virtuality to be detected now
When the display information of the real helmet 12 reaches the calibration position of observation unit 2 after distortion, elementary area 3 carries the information to process
Unit 4, processing unit 4 records the vertical coordinate position of light in the now position of observation unit 2 and virtual implementing helmet to be detected 12
Put next, position of the processing unit 4 according to abscissa positions and vertical coordinate position with observation unit 2 forms corresponding relation, and
Store the corresponding relation.Then observation unit 2 moves to next point of observation, and 4 order detector unit of processing unit 1 shows detection
Information, repeats above-mentioned detection process.Point of observation quantity arranges more, and measurement result is finer, just advantageously in data
Fitting.After the completion of the detection of all points of observation, processing unit 4 collects all corresponding relations, and the corresponding relation according to storage
The distortion function for storing in fitting data storehouse.After processing unit 4 is successfully fitted one of them to several distortion functions, process single
Unit 4 records and stores the fitting result；When processing unit 4 cannot be according to the distortion letter in the corresponding relation fitting data storehouse for measuring
During number, corresponding relation is stored in the way of point function by processing unit 4.
Compared with prior art, the present invention simulates the view mode of human eye to virtual reality to be detected using observation unit 2
The image information that the helmet 12 is played is observed, establish on virtual implementing helmet to be detected 12 position that puts on display screen 16 and
The one-to-one relation of the observation place of workina ocular 23, is fitted distortion function using the corresponding relation, there is provided Yi Zhongjian
The method for surveying 12 distortion function of virtual implementing helmet to be detected.Observation unit 2 is to be checked to observe by simulating human eye visual angle angle
The light of the transmitting of virtual implementing helmet 12 is surveyed, is conducive to the observational technique of human eye is preferably simulated, the result of its detection is also more
The image that adjunction person of modern times's eye actually sees, improves accuracy and adaptability.Shown using column of pixels by column and entire row of pixels
The method for showing line by line provides a kind of method for setting up function corresponding relation, can easily try to achieve point of observation and correspond to screen position
Abscissa and vertical coordinate.By in the image captured by observation unit 2 arrange target center, can increase detection accuracy and
Efficiency.Optics is effectively simply solved using the combination of detector unit 1, observation unit 2, elementary area 3 and processing unit 4
The problem of Distortion Detect.Clamping device 142 is set on fixed structure 14 virtual implementing helmet to be detected 12 can be convenient for changing,
Facilitate the reuse of the present invention.Observation unit 2 is driven to move along eyepiece track 25 by eyepiece motor 271, and lifting electricity
Machine 273 can facilitate to the lifting of observation unit 2 to be observed from multiple angles and positions, facilitates setting for multiple points of observation
Put.Can conveniently drive workina ocular 23 to move along movable plate track 24 by the setting of movable plate 22, conveniently detect one
Next position to be detected is transferred to behind individual position.Two groups of facilities for observations 20 can be measured respectively, be favorably improved efficiency and essence
Exactness.
Above in conjunction with accompanying drawing, embodiments of the invention are described, but the invention is not limited in above-mentioned concrete
Embodiment, above-mentioned specific embodiment is only schematic, rather than restricted, one of ordinary skill in the art
Under the enlightenment of the present invention, in the case of without departing from present inventive concept and scope of the claimed protection, can also make a lot
Form, these belong within the protection of the present invention.
Claims (10)
1. a kind of method of virtual implementing helmet Distortion Detect, it is characterised in that comprise the following steps：
S1：Mobile observation unit observes virtual implementing helmet to be detected to point of observation, in the virtual implementing helmet to be detected
Detection image is played, the image that elementary area is observed to the observation unit is processed；
S2：When described image unit detects the image that the observation unit observes and meets pre-conditioned, described image list
Unit's transmission detection information is to processing unit；
S3：After the processing unit receives the detection information of described image unit transmission, record detection image information with described
The corresponding relation of observation unit position, the observation unit moves to next point of observation and is observed；
S4：The processing unit is according to the corresponding relation fitting data of multiple series of images information and the observation unit position of record
Distortion function in storehouse, and record the result of fitting.
2. the method for virtual implementing helmet Distortion Detect according to claim 1, it is characterised in that the virtuality to be detected
The light of real helmet transmitting is reflected via optical glass, and the observation unit is observed by the angle for simulating human eye visual angle
The light of the virtual implementing helmet transmitting to be detected.
3. the method for virtual implementing helmet Distortion Detect according to claim 2, it is characterised in that further include following
Step：
S5：When data fitting is unsuccessful, the processing unit stores corresponding relation in the way of point function.
4. the method for virtual implementing helmet Distortion Detect according to claim 3, it is characterised in that the virtuality to be detected
Play detection image in the real helmet to comprise the following steps：
The display screen of virtual implementing helmet to be detected described in S1.1 in units of column of pixels from the first end of the display screen to
Second end shows longitudinal light by column；
Virtual implementing helmet to be detected described in S1.2 is along the display screen from the 3rd of the display screen in units of entire row of pixels
Hold to the 4th end and show transverse light rays line by line.
5. the method for virtual implementing helmet Distortion Detect according to claim 4, it is characterised in that in the observation unit
The picture centre of shooting arranges target center, when described image unit detects light image that the observation unit observes in target center
When interior, described image unit transmission detection information is to the processing unit.
6. a kind of device of virtual implementing helmet Distortion Detect, it is characterised in that including detector unit, observation unit, image list
Unit and processing unit, the detector unit includes virtual implementing helmet to be detected, fixed structure, described image unit and the sight
Examine unit, the processing unit to be electrically connected with, the processing unit and the detector unit are electrically connected with, described to be detected
Virtual implementing helmet includes that display screen and optical glass, the display screen and the optical glass are oppositely arranged.
7. the device of virtual implementing helmet Distortion Detect according to claim 6, it is characterised in that the fixed structure bag
Clamping device, position-limit mechanism and base plate is included, the clamping device can be opened, close after being put into the virtual implementing helmet to be detected
Close, the fixation virtual implementing helmet to be detected.
8. the device of virtual implementing helmet Distortion Detect according to claim 7, it is characterised in that the observation unit bag
Workina ocular, eyepiece track, eyepiece motor, elevating lever and lifting motor is included, the workina ocular can be in the eyepiece motor
Drive lower edge described in the translation of eyepiece track and rotation, the workina ocular is connected with the elevating lever, it is possible to follow institute
One lifting of elevating lever is stated, the elevating lever can be lifted in vertical direction by the control of the lifting motor.
9. the device of virtual implementing helmet Distortion Detect according to claim 7, it is characterised in that the observation unit bag
Base, movable plate, workina ocular, movable plate track, eyepiece track and eyepiece motor is included, the workina ocular can be in the mesh
Eyepiece track motion described in the drive lower edge of mirror motor, the eyepiece track is arranged on the movable plate, and the movable plate can
With the drive workina ocular, the eyepiece motor and the eyepiece track together along the movable plate track motion.
10. the device of virtual implementing helmet Distortion Detect according to claim 7, it is characterised in that the observation unit
Including two groups of facilities for observations, the facilities for observation includes workina ocular, eyepiece track and eyepiece motor, facilities for observation described in two groups
Respectively left eye and the corresponding fault image of right eye are observed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611076940.4A CN106441822A (en) | 2016-11-30 | 2016-11-30 | Virtual reality headset distortion detection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611076940.4A CN106441822A (en) | 2016-11-30 | 2016-11-30 | Virtual reality headset distortion detection method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106441822A true CN106441822A (en) | 2017-02-22 |
Family
ID=58222410
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611076940.4A Withdrawn CN106441822A (en) | 2016-11-30 | 2016-11-30 | Virtual reality headset distortion detection method and device |
Country Status (1)
| Country | Link |
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| CN (1) | CN106441822A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108426702A (en) * | 2018-01-19 | 2018-08-21 | 华勤通讯技术有限公司 | The dispersion measurement device and method of augmented reality equipment |
| CN109596319A (en) * | 2018-11-26 | 2019-04-09 | 歌尔股份有限公司 | The detection system and method for optics module parameter |
| CN117214025A (en) * | 2023-11-08 | 2023-12-12 | 广东德鑫体育产业有限公司 | Helmet lens detection device |
-
2016
- 2016-11-30 CN CN201611076940.4A patent/CN106441822A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108426702A (en) * | 2018-01-19 | 2018-08-21 | 华勤通讯技术有限公司 | The dispersion measurement device and method of augmented reality equipment |
| CN108426702B (en) * | 2018-01-19 | 2020-06-02 | 华勤通讯技术有限公司 | Dispersion measurement device and method of augmented reality equipment |
| CN109596319A (en) * | 2018-11-26 | 2019-04-09 | 歌尔股份有限公司 | The detection system and method for optics module parameter |
| CN117214025A (en) * | 2023-11-08 | 2023-12-12 | 广东德鑫体育产业有限公司 | Helmet lens detection device |
| CN117214025B (en) * | 2023-11-08 | 2024-01-12 | 广东德鑫体育产业有限公司 | Helmet lens detection device |
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Application publication date: 20170222 |