CN111428668B - Multi-view variable-pitch type face data acquisition system and method - Google Patents
Multi-view variable-pitch type face data acquisition system and method Download PDFInfo
- Publication number
- CN111428668B CN111428668B CN202010242894.0A CN202010242894A CN111428668B CN 111428668 B CN111428668 B CN 111428668B CN 202010242894 A CN202010242894 A CN 202010242894A CN 111428668 B CN111428668 B CN 111428668B
- Authority
- CN
- China
- Prior art keywords
- face data
- data acquisition
- bracket
- sliding rail
- layer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004891 communication Methods 0.000 claims abstract description 3
- 238000012360 testing method Methods 0.000 claims abstract description 3
- 230000009471 action Effects 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 238000004590 computer program Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000003466 welding Methods 0.000 description 7
- 239000000463 material Substances 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 229910001220 stainless steel Inorganic materials 0.000 description 2
- 239000010935 stainless steel Substances 0.000 description 2
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- 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
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon ; Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
- F16M11/043—Allowing translations
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D13/00—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover
- G05D13/62—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover characterised by the use of electric means, e.g. use of a tachometric dynamo, use of a transducer converting an electric value into a displacement
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Image Processing (AREA)
- Accessories Of Cameras (AREA)
Abstract
The invention provides a multi-view variable-pitch type face data acquisition system and a multi-view variable-pitch type face data acquisition method, which belong to the technical field of face data acquisition and comprise a support and a controller, wherein the support is of at least three layers, a first layer of the support is fixedly provided with at least one sliding rail, a second layer of the support is a semicircular support, a plurality of sliding rails are uniformly fixed on the semicircular support at intervals, and a third layer of the support is fixedly provided with at least one sliding rail; the end part of each sliding rail faces to a preset test point, and each sliding rail is provided with a camera capable of sliding along the sliding rail, and the cameras are all in communication connection with the controller and are used for acquiring face data according to the instruction of the controller; according to the face data acquisition method and device, 3D face data acquisition of multiple angles and variable distances can be achieved, meanwhile, the cameras are quickly and sequentially called to conduct data acquisition of multiple angles and multiple distances under the same face state, more comprehensive face data acquisition is achieved, and recognition accuracy of a face recognition algorithm is guaranteed.
Description
Technical Field
The disclosure relates to the technical field of face data acquisition, in particular to a multi-view variable-pitch face data acquisition system and method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In recent years, with the development of information technology, biometric identification technology has been widely used and has an important role in personal information security, cashless payment, national security, and the like. Face recognition is widely used as a technology commonly used in biological special recognition because of its advantages of convenience in use, non-contact recognition, imperceptibility, and the like. However, the conventional 2D face recognition technology based on visible light images is easily affected by changes in visible light illumination, changes in facial textures such as makeup, and the like, and meanwhile, the safety of a recognition system is low, so that difficulties and hidden hazards are brought to face recognition. The 3D face recognition technology adopts an active light mode, so that the influence of visible light change on face recognition is avoided, and the accuracy of face recognition can be improved. By acquiring depth 3D information of the face, the situation that the face recognition system can be deceived by using a single Zhang Ren face photo is prevented, and recognition safety is greatly improved.
The inventor discovers that the existing 3D face acquisition equipment is mostly a single-camera system, so that the 3D face database is mostly composed of face front views and cannot realize multi-angle coverage on face visual angles; the distance between the camera and the human face is fixed during human face data acquisition, so that the 3D human face recognition accuracy is lower during non-ideal recognition distance; the data of a plurality of angles of the face shot by a plurality of scattered cameras are mostly needed to be manually sorted again to determine the images of the angles under the same face state, so that the acquired data are inaccurate, and time and labor are wasted.
Disclosure of Invention
In order to solve the defects of the prior art, the present disclosure provides a multi-view variable-pitch type face data acquisition system and method, which can realize multi-angle and variable-distance face data acquisition, and can realize more comprehensive face data acquisition by rapidly and sequentially invoking cameras to perform multi-angle and multi-distance data acquisition on a face, thereby ensuring the recognition accuracy of a face recognition algorithm.
In order to achieve the above purpose, the present disclosure adopts the following technical scheme:
the first aspect of the present disclosure provides a multi-view variable-pitch face data acquisition system.
The multi-view variable-pitch type face data acquisition system comprises a bracket and a controller, wherein the bracket is of at least three layers, at least one sliding rail is fixed on a first layer of the bracket, a semicircular bracket is arranged on a second layer of the bracket, a plurality of sliding rails are sequentially fixed on the semicircular bracket, and at least one sliding rail is fixed on a third layer of the bracket;
the end part of each sliding rail faces to a preset test point, a camera capable of sliding along the sliding rail is arranged on each sliding rail, and the camera is connected with the controller in a communication manner and is used for acquiring face data according to instructions of the controller.
The second aspect of the present disclosure provides a multi-view variable-pitch face data acquisition method.
A visual angle variable-pitch type face data acquisition method utilizes the multi-visual angle variable-pitch type face data acquisition system disclosed in the first aspect of the disclosure;
the distance between each camera and the person to be collected is determined by sliding the cameras on the sliding rails;
the seat right in front of the acquisition system is adjusted, so that the nose tip of the person to be acquired is level with the camera on the middle layer of the bracket, and the front-looking posture is kept;
and controlling each camera to shoot sequentially through the controller to obtain multi-angle face image data under the same face state.
As some possible implementation manners, when the sliding rail is a screw guide rail and the sliding blocks are screw sliding blocks, the controller controls all the sliding blocks to act at the same speed at the same time, so that the dynamic process of the collected person from far to near or from near to far is simulated.
As some possible implementation manners, when the slide rail is a screw guide rail and the slide blocks are screw slide blocks, the controller enables each slide block to obtain different action speeds, and face data of different angles and different distances in the same face state are obtained.
Compared with the prior art, the beneficial effects of the present disclosure are:
1. according to the face data acquisition system disclosed by the first aspect, by arranging the three-layer support structure, cameras with different angles are arranged in each layer in a echelon manner, multi-angle face data acquisition is realized, the difficulty that multi-angle images need to be manually sorted in the prior art is overcome, and the recognition database of the face recognition algorithm is greatly expanded, so that better optimization of the face recognition algorithm is realized.
2. According to the face data acquisition system disclosed by the first aspect of the disclosure, each camera is arranged on the corresponding sliding rail, so that the face data acquisition with a variable distance is realized, the diversity of the data acquisition is greatly improved, and the recognition database of the face recognition algorithm is expanded.
3. The face data acquisition system of the first aspect of the present disclosure realizes multi-angle face data acquisition under the same face state by setting up cameras of a plurality of angles, thereby avoiding repeated acquisition and manual selection of the same face in real operation, and greatly improving the accuracy of the acquired face data.
4. According to the face data acquisition method disclosed by the second aspect of the disclosure, the synchronous action or the asynchronous action of all the sliding blocks is controlled by the controller, so that the automatic adjustment of the face data acquisition distance is realized, and the dynamic acquisition process when the person to be acquired is from far to near or from near to far or deviates from the acquisition center is effectively simulated.
Drawings
Fig. 1 is a front schematic view of a multi-view variable-pitch face data acquisition system provided in embodiment 1 of the present disclosure.
Fig. 2 is a schematic side view of a multi-view variable-pitch face data acquisition system according to embodiment 1 of the present disclosure.
Fig. 3 is a schematic top view of a multi-view variable-pitch face data acquisition system according to embodiment 1 of the present disclosure.
Fig. 4 is a schematic diagram of a control system of a multi-view variable-pitch face data acquisition system according to example 1 of the present disclosure.
1. A support bracket; 2. a semicircular camera carrying bracket; 3. an upper transverse bracket; 4. a lower transverse bracket; 5. a slide rail; 6. a 3D camera; 7. a seat; 8. and a control system.
Detailed Description
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
In the description of the present disclosure, descriptions of the terms "certain embodiments," "one embodiment," "some embodiments," "an exemplary embodiment," "an example," "a particular example," or "some examples," etc., refer to particular features, structures, materials, or characteristics described in connection with the embodiment or example as being included in at least one embodiment or example of the present application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
Example 1:
as shown in fig. 1-3, embodiment 1 of the present disclosure provides a multi-view variable-pitch face data acquisition system, which comprises a support bracket 1, a semicircular camera carrying bracket 2, an upper transverse bracket 3, a lower transverse bracket 4, a slide rail 5, a 3D camera 6, a seat 7 and a control system 8, wherein the support bracket 1 comprises 3 bracket layers, and the upper transverse bracket 3, the semicircular camera carrying bracket 2 and the lower transverse bracket 4 are sequentially connected and fixed from top to bottom.
The upper transverse bracket 3, the semicircular camera carrying bracket 2 and the lower transverse bracket 4 are provided with sliding rails, and the 3D cameras 6 are arranged on the sliding rails 5; the camera 6 is connected with a computer through an interface; the seat 7 is height-adjustable; the control system 8 is connected with the cameras 6 and is used for controlling all the cameras 6 to collect 3D face data.
The support bracket 1, the semicircular camera carrying bracket 2, the upper transverse bracket 3 and the lower transverse bracket 4 are of a shape material structure, the shapes are connected through corner fittings and slide block nuts, and other fixed connection modes such as welding, riveting and the like can be adopted.
The support bracket 1 comprises three bracket layers and a fixing structure of a bottommost layer, the fixing structure of the bottommost layer comprises a first horizontal rod, a second horizontal rod and a third horizontal rod which are horizontally and sequentially and vertically fixedly connected, the length of the first horizontal rod is identical to that of the third horizontal rod, the first connecting rod, the second connecting rod and the third connecting rod form a door-shaped structure, the joint of the first horizontal rod and the second horizontal rod and the joint of the second horizontal rod and the third horizontal rod are respectively fixed with a first vertical rod and a second vertical rod which are perpendicular to a horizontal plane, and one ends of the first horizontal rod and the third horizontal rod, which are not connected with the second horizontal rod, are respectively fixed with a third vertical rod and a fourth vertical rod which are straight to the horizontal plane.
The first vertical rod is fixedly provided with a fifth horizontal rod perpendicular to the first vertical rod and facing the third vertical rod, the second vertical rod is fixedly provided with a sixth horizontal rod perpendicular to the second vertical rod and facing the fourth vertical rod, and the fifth horizontal rod and the sixth horizontal rod form a third layer of the support bracket 1.
The fifth horizontal rod and the sixth horizontal rod are respectively connected and fixed with a sliding block nut through a cross fixing plate, a rotatable cradle head is fixed on the rotatable cradle head through a PU100 quick-mounting plate and a bolt, and the lower transverse support 4 is respectively perpendicular to the fifth horizontal rod and the sixth horizontal rod; the rotatable cradle head rotates to a position of the lower transverse support 4 obliquely upwards by 30 degrees, and 1 non-standard positioning corner fitting is arranged in the center of each of the two transverse supports.
In some embodiments, the fixing connection manner of the rotatable cradle head and the support bracket 1 and the lower transverse bracket 4 may also be other fixing connection manners, such as a detachable connection manner of bolting, riveting, etc., so long as the fixing can be realized. Meanwhile, the fixing mode of welding can be adopted, and the fixing performance of the lower transverse support 4 can be ensured through the welding mode, so that the stability of a camera carried on the lower transverse support is ensured, and the quality of face data acquisition is improved.
The upper parts of the fifth horizontal rod and the sixth horizontal rod are further provided with a seventh horizontal rod, an eighth horizontal rod and a ninth horizontal rod, the seventh horizontal rod is perpendicular to the first vertical rod and the third vertical rod respectively, the eighth horizontal rod is perpendicular to the first vertical rod and the second vertical rod respectively, the ninth horizontal rod is perpendicular to the second vertical rod and the fourth vertical rod respectively, and the seventh horizontal rod, the eighth horizontal rod and the ninth horizontal rod are coplanar.
The seventh horizontal rod, the eighth horizontal rod and the ninth horizontal rod form a second layer of the support bracket 1, four corners of the second layer inwards extend out of stainless steel support plates and are used for supporting and fixing the semicircular camera carrying bracket 2, each section of materials of the semicircular camera carrying bracket 2 are connected through bolts and sliding block nuts by using nonstandard positioning corner fittings, and 13 positioning corner fittings are used for fixing a 3D camera while connecting the various materials. Other fixing connection modes, such as detachable connection modes of bolting, riveting and the like, can be adopted here, so that the disassembly is convenient, and only the fixing can be realized. Meanwhile, the fixing mode of welding can be adopted, the fixing performance of the semicircular camera carrying bracket 2 can be guaranteed through the welding mode, so that the stability of a camera carried on the semicircular camera carrying bracket is guaranteed, and the quality of face data acquisition is improved.
In some embodiments, the semicircular camera carrying bracket 2 may be integrally formed, and by extruding the semicircular camera carrying bracket into a behaving semicircular bracket once, only the sliding rail needs to be fixed on the bracket, and the once-formed structure can also ensure the stability of the camera carried thereon, so as to improve the quality of face data acquisition.
A tenth horizontal rod and an eleventh horizontal rod which are parallel to the fifth horizontal rod or the sixth horizontal rod are respectively fixed at the upper ends of the third vertical rod and the fourth vertical rod, the fifth vertical rod is vertically fixed between the tenth horizontal rod and the fifth horizontal rod, the sixth vertical rod is vertically fixed between the eleventh horizontal rod and the sixth horizontal rod,
the tenth horizontal pole and eleventh horizontal pole connect through the slider nut and fix rotatable cloud platform, pass through PU100 fast-assembling board and bolt fastening on the rotatable cloud platform and go up horizontal support 3, go up horizontal support 3 and be parallel to horizontal support 4 down, and go up horizontal support 3 and horizontal support 4 constitution's plane perpendicular to horizontal plane down to guaranteed that upper and lower floor's 3D camera can be accurate gather symmetrical face data. The rotatable cradle head rotates the upper transverse support 3 to be inclined downwards by 30 degrees, and the center of the upper transverse support 3 is provided with 1 non-standard positioning corner fitting.
In some embodiments, the fixing connection manner of the rotatable cradle head and the support bracket 1 and the upper transverse bracket 3 may also be other fixing connection manners, such as a detachable connection manner of bolting, riveting, etc., so long as the fixing can be realized. Meanwhile, the fixing mode of welding can be adopted, and the fixing performance of the upper transverse support 3 can be guaranteed through the welding mode, so that the stability of a camera carried on the upper transverse support is guaranteed, and the quality of face data acquisition is improved.
In the embodiment, the nonstandard positioning corner fitting has two angles of 165 degrees and 172.5 degrees, so that accurate splicing among the shapes is ensured. The angle pieces can be at other angles, so long as the process requirements can be met; and the positioning corner fittings are respectively provided with a positioning threaded hole, and are connected with the sliding rail through bolts.
The sliding rail 5 is made of aviation aluminum, bearings are arranged on two sides of the interior, the length of the sliding rail is 600mm, bolt holes are formed in the position of 250mm, and the sliding rail is used for connecting the bolt holes on the positioning corner fitting through bolts; the sliding rail is provided with a sliding block which can slide or be fixed on the sliding rail; the side edges of the sliding rail are provided with dimension marking information for determining the distance from the center of the sliding block to a person to be collected, and the distance from 500mm to 1000mm is used for quickly collecting the photographed distance, so that later manual sorting is reduced; the sliding block is provided with a camera cradle head used for carrying the 3D camera.
In some embodiments, the bracket, the slide rail and the slide block in this embodiment may be made of hard plastic, stainless steel or other hard materials.
In some embodiments, the sliding rail can also be a screw sliding rail, the corresponding sliding blocks are screw sliding blocks, and the controller controls the action of each sliding block on the sliding rail, so that the shooting distance can be automatically adjusted.
In this embodiment, 1 3D camera is arranged on a slide rail connected between the upper transverse bracket 3, and the pitch angle of the camera is 30 ° and the yaw angle is 0 °; the sliding rail connected with the middle of the lower transverse bracket 4 is provided with 1 3D camera, the pitch angle of the camera is-30 degrees, and the deflection angle is 0 degrees; 13 sliding rails are arranged on the semicircular camera carrying support 2, 1 3D camera is arranged on each sliding rail, the pitch angle of the 3D camera is 0 degrees, the deflection angles of the 3D cameras are-90 degrees, -75 degrees, -60 degrees, -45 degrees, -30 degrees, -15 degrees, -0 degrees, -15 degrees, -30 degrees, -45 degrees, -60 degrees-75 degrees-90 degrees, and through the arrangement of 13 deflection angles, one 3D camera is arranged at intervals of 15 degrees, the arrangement of 15 degrees can carry out finer acquisition on each angle of a human face, meanwhile, the fact that photos are acquired at each shooting angle are not excessively repeated can be guaranteed, and therefore the repeatability of data is reduced on the premise that the richness of a database is guaranteed.
In this embodiment, the 3D cameras may slide on the slide rails, the variable distance between the 3D camera and the person to be collected is 500 mm-1000 mm, and the pitch angle and the yaw angle of each camera are unchanged during sliding.
In this embodiment, in order to facilitate installation, control and analysis, the 3D cameras are numbered according to the positions where the 3D cameras are located, the camera number on the upper transverse bracket 3 is U1, the camera number on the lower transverse bracket 4 is D1, and the cameras on the semicircular camera mounting bracket 2 are L6, L5, L4, L3, L2, L1, 0, R1, R2, R3, R4, R5, R6 in sequence from left to right, before collection, it is necessary to determine whether each 3D camera is normally connected and operated.
In this embodiment, the USB deconcentrator is used to connect 15 cameras to a computer, and input commands can control the 3D cameras to sequentially collect 3D face information.
The seat 7 is arranged right in front of the support bracket 1, and the height of the seat 7 can be adjusted to adapt to different heights.
Preferably, the seat is disposed at the center of the semicircular camera mount 2.
Example 2:
the embodiment 2 of the disclosure provides a multi-view variable-pitch type 3D face data acquisition method, and the multi-view variable-pitch type face data acquisition system described in embodiment 1 is utilized.
Before collection, the distance between the camera and the person to be collected is selected and the fixed sliding block is adjusted;
the person to be collected should adjust sitting posture and seat height under the reminding of the person to be collected, so that the nose tip is approximately level with the camera on the bracket 2, and the front posture is kept;
before the collector collects, the collector should confirm whether the posture of the collector is correct at the interactive interface;
during collection, the control system defaults to orderly number the collected persons and establishes corresponding folders;
after the distance is acquired, if the 3D face information with different distances is required to be acquired, the distance between the sliding block on the sliding rail and the acquired person is required to be adjusted, and the steps are repeated.
In some embodiments, when the slide rail is a screw guide rail and the slide blocks are screw slide blocks, the actions of all the slide blocks are controlled by the controller, so that the automatic adjustment of the human face data acquisition distance is realized, the dynamic process of people from far to near or from near to far is effectively simulated, various visual angles, various distances and the dynamic human face data from far to near or from near to far can be obtained through one-time data acquisition, the human face data acquisition efficiency is greatly improved, the human face database is enriched, and the foundation is laid for the training of a later human face recognition algorithm.
In some embodiments, when the slide rail is a screw guide rail and the slide block is a screw slide block, the controller controls the part slide block to act quickly, and controls the part slide block to act quickly, so that face data of different angles and different distances in the same face state are obtained, and the face database is greatly expanded.
It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random access Memory (Random AccessMemory, RAM), or the like.
The foregoing description of the preferred embodiments of the present disclosure is provided only and not intended to limit the disclosure so that various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (6)
1. The multi-view variable-pitch type face data acquisition system is characterized by comprising a bracket and a controller, wherein the bracket is of at least three layers, at least one sliding rail is fixed on a first layer of the bracket, a semicircular bracket is arranged on a second layer of the bracket, a plurality of sliding rails are sequentially fixed on the semicircular bracket, and at least one sliding rail is fixed on a third layer of the bracket;
cameras with different angles are arranged in each layer of echelon, each camera is arranged on a corresponding sliding rail, the pitch angle of the camera on the sliding rail of the first layer of the bracket is 30 degrees, and the deflection angle is zero degrees;
the pitch angle of the camera on the sliding rail of the third layer of the bracket is minus 30 degrees, and the deflection angle is zero degrees;
the side edge of each sliding rail is provided with dimension marking information for determining the distance from the center of the sliding block to a person to be collected;
the end part of each sliding rail faces to a preset test point, and each sliding rail is provided with a camera capable of sliding along the sliding rail, and the cameras are all in communication connection with the controller and are used for acquiring face data according to the instruction of the controller;
when the slide rail is a screw guide rail and the slide blocks are screw slide blocks, the controller controls all the slide blocks to act at the same speed at the same time, and the dynamic process of the collected person from far to near or from near to far is simulated; the controller is used for enabling each sliding block to obtain different action speeds and face data of different angles and different distances in the same face state; the controller controls synchronous action or asynchronous action of all the sliders, the controller controls part of sliders to quickly act, and controls part of sliders to slowly act, so that face data of different angles and different distances in the same face state are obtained, automatic adjustment of the face data acquisition distance is realized, and a dynamic acquisition process when a person to be acquired is from far to near or from near to far or deviates from an acquisition center is simulated.
2. The multi-view variable-pitch type face data acquisition system of claim 1, wherein the first layer of the support comprises a first rod, two ends of the first rod are respectively connected with two sides of the support through rotary round tables, and the angle of the sliding rail of the first layer of the support is adjusted through rotary first horizontal rods.
3. The multi-view variable-pitch type face data acquisition system of claim 1, wherein the third layer of the support comprises a second rod, two ends of the second rod are respectively connected with two sides of the support through rotary round tables, and the sliding rail angle of the third layer of the support is adjusted through rotary second horizontal rods.
4. A multi-view variable-pitch type face data acquisition system as claimed in claim 2 or 3, wherein the rotary cradle head is fixedly connected with the bracket through a fixing plate and a sliding block nut, and is fixedly connected with the end part of the horizontal rod through a quick-mounting plate and a bolt.
5. The multi-view, variable pitch face data acquisition system of claim 1 wherein the cameras adjacent on the semi-circular support are equally spaced in angle and have a pitch angle of zero degrees.
6. A method for acquiring visual angle variable-pitch type face data, which is characterized by using the multi-visual angle variable-pitch type face data acquisition system as claimed in any one of claims 1 to 5;
the distance between each camera and the person to be collected is determined by sliding the cameras on the sliding rails;
the seat right in front of the acquisition system is adjusted, so that the nose tip of the person to be acquired is level with the camera on the middle layer of the bracket, and the front-looking posture is kept;
the controller is used for controlling each camera to shoot simultaneously, so that multi-angle face image data under the same face state is obtained;
when the slide rail is a screw guide rail and the slide blocks are screw slide blocks, the controller controls all the slide blocks to act at the same speed at the same time, and the dynamic process of the collected person from far to near or from near to far is simulated; when the slide rail is a screw guide rail and the slide blocks are screw slide blocks, the controller enables each slide block to obtain different action speeds, and face data of different angles and different distances under the same face state are obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010242894.0A CN111428668B (en) | 2020-03-31 | 2020-03-31 | Multi-view variable-pitch type face data acquisition system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010242894.0A CN111428668B (en) | 2020-03-31 | 2020-03-31 | Multi-view variable-pitch type face data acquisition system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111428668A CN111428668A (en) | 2020-07-17 |
| CN111428668B true CN111428668B (en) | 2024-03-08 |
Family
ID=71550043
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010242894.0A Active CN111428668B (en) | 2020-03-31 | 2020-03-31 | Multi-view variable-pitch type face data acquisition system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111428668B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105704368A (en) * | 2015-12-23 | 2016-06-22 | 电子科技大学中山学院 | Adaptive control method and device for face image acquisition |
| CN206162583U (en) * | 2016-08-31 | 2017-05-10 | 杭州远舟医疗科技有限公司 | Human two -dimentional image acquisition device and three -dimensional human surperficial reconstruction system |
| CN108563992A (en) * | 2018-03-13 | 2018-09-21 | 苏州奥科德瑞智能科技有限公司 | A kind of vision survey system based on recognition of face |
| CN108965696A (en) * | 2018-06-28 | 2018-12-07 | 天津中科智能识别产业技术研究院有限公司 | A kind of restructural human face data acquisition system of multi-angle of view |
| CN109285109A (en) * | 2018-09-05 | 2019-01-29 | 天目爱视（北京）科技有限公司 | A kind of multizone 3D measurement and information acquisition device |
| CN208673362U (en) * | 2018-10-18 | 2019-03-29 | 湖南警察学院 | A kind of information source camera device applied to face system for rapidly identifying |
| CN209764750U (en) * | 2019-04-08 | 2019-12-10 | 武汉精立电子技术有限公司 | Multi-station detection equipment |
| CN110826367A (en) * | 2018-08-10 | 2020-02-21 | 北京魔门塔科技有限公司 | Human face image acquisition system for data analysis |
| CN110929566A (en) * | 2019-10-16 | 2020-03-27 | 厦门大学 | Human face living body detection method based on visible light and near-infrared binocular camera |
-
2020
- 2020-03-31 CN CN202010242894.0A patent/CN111428668B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105704368A (en) * | 2015-12-23 | 2016-06-22 | 电子科技大学中山学院 | Adaptive control method and device for face image acquisition |
| CN206162583U (en) * | 2016-08-31 | 2017-05-10 | 杭州远舟医疗科技有限公司 | Human two -dimentional image acquisition device and three -dimensional human surperficial reconstruction system |
| CN108563992A (en) * | 2018-03-13 | 2018-09-21 | 苏州奥科德瑞智能科技有限公司 | A kind of vision survey system based on recognition of face |
| CN108965696A (en) * | 2018-06-28 | 2018-12-07 | 天津中科智能识别产业技术研究院有限公司 | A kind of restructural human face data acquisition system of multi-angle of view |
| CN110826367A (en) * | 2018-08-10 | 2020-02-21 | 北京魔门塔科技有限公司 | Human face image acquisition system for data analysis |
| CN109285109A (en) * | 2018-09-05 | 2019-01-29 | 天目爱视（北京）科技有限公司 | A kind of multizone 3D measurement and information acquisition device |
| CN110827196A (en) * | 2018-09-05 | 2020-02-21 | 天目爱视（北京）科技有限公司 | Device capable of simultaneously acquiring 3D information of multiple regions of target object |
| CN208673362U (en) * | 2018-10-18 | 2019-03-29 | 湖南警察学院 | A kind of information source camera device applied to face system for rapidly identifying |
| CN209764750U (en) * | 2019-04-08 | 2019-12-10 | 武汉精立电子技术有限公司 | Multi-station detection equipment |
| CN110929566A (en) * | 2019-10-16 | 2020-03-27 | 厦门大学 | Human face living body detection method based on visible light and near-infrared binocular camera |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111428668A (en) | 2020-07-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106485699B (en) | One kind is based on the matched reference mark localization method of point | |
| CN104677305B (en) | A kind of body surface three-dimensional method for reconstructing and system based on cross structure light | |
| CN106885534B (en) | Increasing material manufacturing coaxial powder-feeding nozzle test device and method | |
| CN103716594A (en) | Panorama splicing linkage method and device based on moving target detecting | |
| CN106331684B (en) | A kind of 3-dimensional image acquisition methods based on small drone video recording in engineering geological survey | |
| CN109658457A (en) | A kind of scaling method of laser and any relative pose relationship of camera | |
| CN112258651B (en) | Three-dimensional reconstruction method for dairy cow body surface point cloud under shielding condition | |
| CN206863817U (en) | Camera review automatic acquisition device and camera calibration systems | |
| CN105181109B (en) | A kind of conducting wire ice-shedding track binocular measurement method | |
| DE102008054453A1 (en) | Measuring system for measuring rooms and / or objects | |
| CN111428668B (en) | Multi-view variable-pitch type face data acquisition system and method | |
| EP2252855A1 (en) | Method and device for determining the location and orientation of a test subject | |
| CN108961276A (en) | The distribution line inspection automatic data collection method and system of view-based access control model servo | |
| WO2008055733A1 (en) | Mobile measuring system and method for detecting spatial profile sections | |
| CN107463933A (en) | A kind of image object detection method | |
| CN107066975B (en) | Video identification and tracking system and its method based on depth transducer | |
| CN107358610A (en) | Crop high flux Phenotypic examination method and system | |
| CN114708216A (en) | Construction progress intelligent identification method and system based on image identification | |
| CN111460997B (en) | Face recognition system and method based on omnibearing dynamic capture | |
| CN206380794U (en) | A kind of foot three-dimensional information harvester | |
| CN115205473A (en) | Rock structural surface morphology measuring device and rock structural surface three-dimensional reconstruction method | |
| CN213724602U (en) | Standing long jump physical measurement equipment based on machine vision | |
| CN207082019U (en) | A kind of unmanned plane projects actinobacillus device | |
| CN208654511U (en) | A kind of bracket and image capturing system for Image Acquisition | |
| CN110728696A (en) | Student standing detection method of recording and broadcasting system based on background modeling and optical flow method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |