CN106871815A - A kind of class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method - Google Patents

A kind of class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method Download PDF

Info

Publication number
CN106871815A
CN106871815A CN201710048699.2A CN201710048699A CN106871815A CN 106871815 A CN106871815 A CN 106871815A CN 201710048699 A CN201710048699 A CN 201710048699A CN 106871815 A CN106871815 A CN 106871815A
Authority
CN
China
Prior art keywords
kinect
streak reflex
dimensional
streak
measurement
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.)
Granted
Application number
CN201710048699.2A
Other languages
Chinese (zh)
Other versions
CN106871815B (en
Inventor
伏燕军
黄超
屈国丽
王福伟
柴明钢
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Supore Instruments Co ltd
Original Assignee
Nanchang Hangkong University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanchang Hangkong University filed Critical Nanchang Hangkong University
Priority to CN201710048699.2A priority Critical patent/CN106871815B/en
Publication of CN106871815A publication Critical patent/CN106871815A/en
Application granted granted Critical
Publication of CN106871815B publication Critical patent/CN106871815B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses a kind of class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method, it is made up of the three dimensional point cloud acquisition based on Kinect, the big key component of streak reflex three-dimensional measurement two.It is an advantage of the invention that:(1)Compared with traditional streak reflex method for three-dimensional measurement:Traditional streak reflex three-dimensional measurement can only measure some simple index plane shapes, and the class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method is not limited then by tested surface shape, can measure the object of arbitrary face shape;(2)Based on the class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method, treatment is acquired by Kinect measuring targets three-dimensional surface shape cloud datas, acquire the preliminary three-D profile information of body surface, using preliminary three-D profile information as wave-front reconstruction in traditional streak reflex three-dimensional measurement iteration datum level, iterations is greatly reduced, 3 d shape is improved and is rebuild speed.

Description

A kind of class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method
Technical field
The present invention relates to a kind of class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method, more particularly to Three dimensional point cloud based on Kinect obtains principle and streak reflex method for three-dimensional measurement.
Background technology
With the proposition and implementation of industry 4.0, manufacturing industry is intelligent, automate the trend of the times for having turned into industrial development, Acquisition to class minute surface object surface appearance high speed, high accuracy three-dimensional data is extremely urgent.Method for three-dimensional measurement is support Intelligence production, realizes one of human-computer interaction, key technology of 3D technology, is to integrate light, mechanical, electrical and computer technology height New technology, it provides required three-dimensional data for intellectuality production.
High speed three-dimensional measurement for class minute surface object surface appearance both at home and abroad has above done a series of grinding in theoretical and application Study carefully, the method for three-dimensional measurement of usual class mirror article can be divided into interferometric method and streak reflex method.
Interferometric method generally needs the complicated and optics of costliness, typically can only the less class mirror of measurement range Body, and the three-dimensional measurement of dynamic mirror article can not be realized.In engineering, particularly in modern manufacturing industry, there are a large amount of classes Mirror article needs measurement.For example, bodywork surface, polishing die surface, Building Ceramics Industry after spraying in auto industry In ceramic tile surface etc. be respectively provided with class minute surface reflectivity properties, class minute surface object three-dimensional profile measuring technology has important application preceding Scape.
Streak reflex method when class mirror article is measured due to noncontact, measurement of full field, measuring speed is fast and is easy to information It is the advantages for the treatment of, significant in three-dimensional measurement.Three-dimensional measurement experimental provision as shown in figure 1, including flat-panel monitor, CCD camera, computer, work station, reference planes and object under test;Flat-panel monitor projects the striped with characteristic information Reference planes surface, stripe information is gathered by CCD camera, by obtaining fixed phase after work station treatment.Then by determinand Body is placed on same position, and corresponding deformed grating picture is obtained by work station, calculates fixed phase, removes fixed phase and obtains final product To the phase place change caused by determinand area distortion.Again by the mark of phase information and CCD photocentres, incident ray, reflection light etc. Fixed number is according to comprehensive analysis processing, you can obtain final class minute surface 3 d shape to be measured.
Microsoft in 2009 is taken the lead in being proposed Kinect, and the theory of human-computer interaction is proposed first.HuaShuo Co., Ltd is also tight With thereafter, be proposed Xtion series somatosensory device.Compared to other professional depth cameras, Kinect have low cost, easily The advantages of configuration, considerable application prospect is shown in three-dimensional reconstruction field.
Most of class mirror articles often have its particularity and complexity, Bian single-measurement methods, however it is often difficult to reach To the requirement of measurement.As traditional streak reflex method for three-dimensional measurement is not only difficult to carry out three-dimensional to complex class mirror article surface The topography measurement and measurement to colored class minute surface is even more and is difficult to;Although and being based on the 3 D measuring method of Kinect Can quick obtaining class mirror article surface cloud data and colouring information, but its certainty of measurement is relatively low.Therefore, incite somebody to action the two It is effectively combined, using 3 D measuring method quick obtaining face graphic data and face shape colouring information based on Kinect, and Iteration benchmark of the object under test surface topography cloud data that will be obtained as wave-front reconstruction in streak reflex method for three-dimensional measurement Face, recovers 3 d shape and object color.
This method effectively expands streak reflex method for three-dimensional measurement range of application, and streak reflex three-dimensional measurement incorporates So that this patent institute's extracting method has more flexibility and high efficiency in specified data precision, density, process time, this is industry Eka-ytterbium looks unfamiliar product and the method for reconstructing three-dimensional model such as reverse-engineering proposes new approaches.
The content of the invention
Present invention aim at the three dimension profile measurement method that a kind of Kinect of proposition is combined with streak reflex method, the method Compared to the method for three-dimensional measurement of traditional sine stripe projection, the face shape limitation of class minute surface to be measured is greatly breached, while Also the colouring information of object under test can preferably be reduced.
The present invention is achieved like this, the class minute surface three dimension profile measurement side that a kind of Kinect is combined with streak reflex method Method, is characterized in comprise the steps of:
(1) using Kinect rough measure object under test surface tri-dimensional profiles and colouring information is gathered, what is measured herein is thick The iteration primary face shape during face shape will be measured as second step is omited, and as later stage fringe order judgment condition;
(2) by streak reflex method to object double measurement, high accuracy three-dimensional face shape is obtained;
(3) Data Fusion, Kinect will obtain during colouring information is attached to step 2 and measure what is obtained in the first step High-precision three-dimensional face shape, obtains the object under test 3 d shape with colouring information.
Step (1) of the present invention is specific as follows:
(1) demarcation is carried out to the colour TV camera and thermal camera of Kinect and show that the two video cameras accurately rotate Matrix and translation matrix;
(2) using the RGB video camera and thermal camera function of Kinect sensor, connect in the framework based on Open NI The RGB image and depth image of class mirror article to be measured are obtained under mouthful, and the depth that will be gathered according to camera calibration result before , in unified coordinate system, the cloud data to obtaining is filtered denoising, background subtraction to carry for degree information and RGB information unification Take the depth information and colouring information in object under test region;
(3) more accurate cloud data after output treatment, so as to complete the rough of class minute surface object surface appearance to be measured Measurement, and preserve as the iteration primary face shape in second step measurement, and as later stage fringe order judgment condition.
Step (2) of the present invention is specific as follows:
(1) sine streak of horizontal, vertical both direction is shown in streak reflex three-dimensional measurement on the flat display first, so Record the sine streak picture reflected by tested surface and index plane respectively with CCD camera afterwards;
(2) each self-corresponding phase distribution is obtained by phase shift, surface to be measured is obtained compared with index plane phase distribution Phase place change;
(3) required phase information is solved using the striped of horizontal, vertical both direction, is can obtain with reference to demarcation bright on screen Position, incident ray direction, the corresponding reflection light direction in the clear zone of camera photocentre position and speculum of point, and by step 1 The middle acquisition rough face shape result of body surface fits determinand body surface as the iteration datum level in wavefront reconstruction fitting algorithm Face 3 d shape.
Wherein, the three dimension profile measurement method that Kinect is combined with streak reflex method, by the three-dimensional point cloud based on Kinect Data acquisition, the big key component of streak reflex three-dimensional measurement two composition;
Wherein, the three dimensional point cloud based on Kinect is obtained, first with the publication (US of PrimeSense companies 2010/0118123 A1-Depth Mapping using Projected Patterns) depth camera is demarcated, so The colouring information of body surface is obtained with color camera afterwards, then by spin matrix obtained by calibrating and translation matrix, by coloured silk Color information is incorporated into same coordinate system with depth information;And then preserve the three of complete body surface using PCL built-in functions Dimension information;
Wherein, streak reflex three-dimensional measurement principle, is specifically shown the sine streak of advance coding, CCD camera by LCD screen The reflection image on object under test surface is then recorded, phase distribution can be calculated by digital image correlation, demarcated in advance System in, solved by striped and the information such as incident ray needed for obtaining, reflection light and gradient calculated by phase distribution, The establishment of final face shape is completed finally according to wave-front reconstruction algorithm.According to telecentric beam path model, deflection of light schematic diagram such as Fig. 2 institutes Show;
A bright spot A is shown on the black screen of LCD display, and this bright spot is irradiated into minute surface to be measured, then this Individual bright spot by the photocentre C of CCD camera, and can be imaged on one speck of formation in CCD image planes after mirror-reflection to be measured;By anti- Penetrate law to understand, the incidence angle of the incident ray from screen is equal to the angle of reflection of the reflection light for returning to camera, this two light The tangent line of the angular bisector of line specular reflection point corresponding with speck in mirror image to be measured is vertical, therefore determines screen by demarcating The position of upper bright spot, camera photocentre position, the corresponding reflection light direction in clear zone of speculum and correspondence incident ray direction, by This can determine unique minute surface actual slope information, the Complete three-dimensional face shape of the lower accuracy obtained with reference to Kinect, by it Wavefront reconstruction is carried out as iteration datum level fit determinand dignity shape.
In patent (the A1-Depth Mapping using of US 2010/0118123 of Prime-Sense companies Projected Patterns) on be defined as the method:It is assumed that equipment front space 1-4m starts to take one every 0.1m The individual plane of reference, can take 30 secondary such speckle patterns altogether.When we need measurement, a quantity space to be measured can be photographed The speckle pattern of scene, and preserved before 30 it is secondary with reference to figure sequentially carry out cross-correlation calculation, may finally obtain 30 this The correlation chart picture of sample.As long as there is object to occur in space, a peak value will be shown on correlation chart.As long as these peaks Value is sequentially laminated to one piece, then by just obtaining the depth of whole scene after interpolation processing.
It is an advantage of the invention that:(1) compared with traditional streak reflex method for three-dimensional measurement:Traditional streak reflex three-dimensional measurement Some simple index plane shapes can only be measured, such as spherical, circular, parabola face shape etc., and Kinect is combined with streak reflex method Class minute surface three dimension profile measurement method do not limited by tested surface shape then, the object of arbitrary face shape can be measured;(2) it is based on The class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method, by Kinect measuring targets surface three dimension shapes Looks cloud data is acquired treatment, acquires the preliminary three-D profile information of body surface, and preliminary three-D profile information is made It is the iteration datum level of wave-front reconstruction in traditional streak reflex three-dimensional measurement, is greatly reduced iterations, simplifies calculating, Improve 3 d shape and rebuild speed;(3) the class minute surface three dimension profile measurement method combined with streak reflex method based on Kinect, is led to Cross Kinect measuring targets three-dimensional surface shape cloud datas to be acquired, colored object under test surface can be obtained complete Colouring information.Breach and cannot recover in traditional streak reflex three-dimensional measurement object color this is not enough;(4) based on Kinect with The class minute surface three dimension profile measurement method that streak reflex method is combined, remains the excellent of traditional streak reflex method for three-dimensional measurement Gesture, compensate for being based purely on the three dimension profile measurement precision of Kinect problem not high.
Brief description of the drawings
Fig. 1 is Experimental equipment of the invention.
Fig. 2 is deflection of light schematic diagram of the present invention.
Fig. 3 is measurement procedure figure of the present invention.
Fig. 4 is Kinect space coordinates of the present invention and depth image coordinate graph of a relation.
Specific embodiment
Embodiments of the invention are described in further detail below in conjunction with brief description of the drawings.
The present invention is achieved like this, the complex three-dimensional surface shape measurement method that Kinect is combined with streak reflex method, its It is characterized in:Obtained by the three dimensional point cloud based on Kinect and constituted with the big key component of streak reflex three-dimensional measurement two.
One is obtained based on kinect cloud datas;
Cloud data is obtained mainly includes two large divisions:Depth Information Acquistion, cloud data registration.Depth data is The marrow of Kinect and soul.Conversion from two-dimensional depth image to three dimensions point cloud, is between two kinds of coordinate systems Conversion, also has this inseparable to contact while the Depth Information Acquistion principle of equipment and coordinate system are changed.RGB-D information is to obtain Three-dimensional point cloud is taken there is provided information source, this section will be cut from RGB-D images, analysis Kinect obtains three-dimensional point cloud from depth image Operation principle.
Kinect can obtain the other data flow of 3 species:Color image data stream, user's partition data, depth image data Stream, wherein colored and depth data stream constitutes RGB-D information.RGB-D information refer to by obtain in real time colored of Kinect and Deep image information.
Have 2 coordinate systems in Fig. 4, be respectively space coordinates (X, Y, Z) with Kinect infrared cameras as origin and The two-dimensional coordinate system (u, v) of depth image, by space X, Y-direction value is converted into the u of depth image, v values, depth distance to Kinect Z is converted into gray-scale pixel values.The depth of target to be measured can be obtained using OpenNI depth images and coloured image generating function And pixel is original partially in colour information, and according to pixel P (u, v) of the two-dimensional depth image and most initial plane for arriving Shifting amount d, with reference to infrared camera internal reference coefficient, is calculated the depth distance value Z for obtaining.
Wherein, c0, c1 are Kinect depth camera internal references.
According to perspective projection rule, pixel P (u, v) projector space corresponding points P ' (X, Y, Z) meets perspective projection relation, tool Body surface is shown as
Wherein, fx, fy are infrared camera focal lengths in the x, y direction, (cx, cy) be infrared camera projection centre into Coordinate in image plane, A is camera calibration matrix, thus can be solved
With reference to above-mentioned formula, you can fathom Z by Kinect and depth image coordinate (u, v) obtains three dimensional space coordinate (X, Y, Z), that is, got the rough 3 d shape of object under test.
2nd, streak reflex three-dimensional measurement principle;
LCD display shows sinusoidal coding striped both horizontally and vertically respectively, and according to four-step phase-shifting technology and right The phase unwrapping algorithm answered obtains the demodulation phase of both direction, with reference to early stage CCD photocentres obtained by calibrating, incident ray, The data of reflection light etc., you can actual slope information --- the gradient of class mirror article to be measured is obtained, then by wavefront weight Build the surface three dimension face shape that algorithm recovers class mirror article to be measured.
Streak reflex art employs sine streak and digital image correlation, and system is shown by computer 3, work station 4, LED Device 1, CCD camera 2, determinand 6 and reference substance 5 are constituted as shown in Figure 1.The generation of striped and the collection of ccd image are by computer Control.When object plane is standard flat mirror, the reference stripe figure of standard can be obtained and then fixed phase is obtained;When object plane is present During fluctuating, the deforming stripe figure by the modulation of object plane gradient is obtained, its expression formula is:
I (x, y)=A (x, y)+B (x, y) cos [(2p/p) x+q (x, y)+f (x, y)] (5)
In formula (5):A and B are respectively the light field modulate intensities for being influenceed to be distributed with background light intensity and by object Shape ' reflectivity, It is unknown constant;Q (x, y) is the additional phase error that system causes, and f (x, y) is the phase-modulation that object plane causes, when object plane is mark During quasi- face, this is 0.
Known by Fig. 2, for any point shape on object plane, when the normal vector on surface and index plane has drift angle α, reflected light 2 α are turned over, now CCD pixel point no longer corresponds to fixed phase, but addition of phase offset.For B points, object under test surface The angle [alpha] relative to standard deflecting facet, reflection light has then deflected 2 α, and α is the normal direction of object under test surface face shape function in B points Measure the angle for being projected on plane XOZ and deviateing z-axis.That is the incident ray I that A points set out on LCD, treats when this light is irradiated to When surveying B points on object, its reflection light R enters CCD points by C points;If B points are in standard flat, in its correspondence lcd screen Pixel is then A1Point, then phase f (x, y) can be expressed as:
Calculate horizontal, vertical two put the phase in direction after, with reference to early stage CCD photocentres C obtained by calibrating, incident ray I, The data of reflection light R etc., you can obtain actual slope information --- the gradient of class mirror article to be measured, obtain with reference to Kinect Lower accuracy Complete three-dimensional face shape, carry out wavefront reconstruction as iteration datum level and fit high-precision object under test Face shape.

Claims (3)

1. a kind of class minute surface three dimension profile measurement method that Kinect is combined with streak reflex method, is characterized in comprise the steps of:
(1)Using Kinect rough measure object under test surface tri-dimensional profiles and colouring information is gathered, the rough face for measuring herein Shape will be measured as second step in iteration primary face shape, and as later stage fringe order judgment condition;
(2)By streak reflex method to object double measurement, high accuracy three-dimensional face shape is obtained;
(3)Data Fusion, Kinect will obtain during colouring information is attached to step 2 and measure the high-precision of acquisition in the first step Degree 3 d shape, obtains the object under test 3 d shape with colouring information.
2. the class minute surface three dimension profile measurement method that a kind of Kinect according to claim 1 is combined with streak reflex method, It is characterized in:The step(1)It is specific as follows:
(1)Demarcation is carried out to the colour TV camera and thermal camera of Kinect and draws the accurate spin matrix of the two video cameras With translation matrix;
(2)Using the RGB video camera and thermal camera function of Kinect sensor, under the framework interface based on Open NI The RGB image and depth image of class mirror article to be measured are obtained, and the depth letter that will be gathered according to camera calibration result before Cease with RGB information unification to unified coordinate system, the cloud data to obtaining is filtered denoising, background subtraction and is treated with extracting Survey the depth information and colouring information of object area;
(3)More accurate cloud data after output treatment, so that the rough measure of class minute surface object surface appearance to be measured is completed, And preserve as the iteration primary face shape in second step measurement, and as later stage fringe order judgment condition.
3. the class minute surface three dimension profile measurement method that a kind of Kinect according to claim 1 is combined with streak reflex method, It is characterized in:Step(2)It is specific as follows:
(1) sine streak of horizontal, vertical both direction, Ran Houyong are shown in streak reflex three-dimensional measurement on the flat display first CCD camera records the sine streak picture reflected by tested surface and index plane respectively;
(2) each self-corresponding phase distribution is obtained by phase shift, surface phase to be measured is obtained compared with index plane phase distribution Change;
(3)Required phase information is solved using the striped of horizontal, vertical both direction, bright spot on screen is can obtain with reference to demarcating The corresponding reflection light direction in clear zone of position, incident ray direction, camera photocentre position and speculum, and will be obtained in step 1 The rough face shape result of body surface is taken as the iteration datum level in wavefront reconstruction fitting algorithm, object under test surface three is fitted Dimension face shape.
CN201710048699.2A 2017-01-20 2017-01-20 A kind of class mirror surface three dimension profile measurement method of Kinect in conjunction with streak reflex method Active CN106871815B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710048699.2A CN106871815B (en) 2017-01-20 2017-01-20 A kind of class mirror surface three dimension profile measurement method of Kinect in conjunction with streak reflex method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710048699.2A CN106871815B (en) 2017-01-20 2017-01-20 A kind of class mirror surface three dimension profile measurement method of Kinect in conjunction with streak reflex method

Publications (2)

Publication Number Publication Date
CN106871815A true CN106871815A (en) 2017-06-20
CN106871815B CN106871815B (en) 2019-04-12

Family

ID=59158769

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710048699.2A Active CN106871815B (en) 2017-01-20 2017-01-20 A kind of class mirror surface three dimension profile measurement method of Kinect in conjunction with streak reflex method

Country Status (1)

Country Link
CN (1) CN106871815B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108286950A (en) * 2017-12-27 2018-07-17 中国科学院长春光学精密机械与物理研究所 A kind of online test method of reflecting mirror surface shape
CN108332662A (en) * 2018-02-06 2018-07-27 新石器龙码(北京)科技有限公司 A kind of object measuring method and device
CN108759720A (en) * 2018-06-07 2018-11-06 合肥工业大学 Smooth surface surface type measurement method
CN108981782A (en) * 2018-05-16 2018-12-11 吉林工程技术师范学院 A method of it is realized using mobile phone and calculates relevance imaging
CN109059806A (en) * 2018-07-26 2018-12-21 河北工业大学 A kind of mirror article three dimension profile measurement device and method based on infrared stripes
CN109255819A (en) * 2018-08-14 2019-01-22 清华大学 Kinect scaling method and device based on plane mirror
CN109557101A (en) * 2018-12-29 2019-04-02 桂林电子科技大学 A kind of defect detecting device and method of nonstandard high reflection curve surface work pieces
CN109900704A (en) * 2019-03-12 2019-06-18 西安交通大学 With gear wear surface microscopic topographic in-situ three-dimensional reconstructing method
CN109974707A (en) * 2019-03-19 2019-07-05 重庆邮电大学 A kind of indoor mobile robot vision navigation method based on improvement cloud matching algorithm
CN110132174A (en) * 2019-05-10 2019-08-16 北方夜视技术股份有限公司 Angel type lobster eye x-ray imaging eyeglass face type test device based on streak reflex method
CN110360925A (en) * 2018-04-10 2019-10-22 中国科学院物理研究所 The calibration method and calibrating installation of magnetic spherical coordinates for magnetic tweezers
CN111207679A (en) * 2020-01-17 2020-05-29 四川大学 High-precision reflection element detection method with large measurement span
CN112184790A (en) * 2020-09-02 2021-01-05 福建(泉州)哈工大工程技术研究院 Object size high-precision measurement method based on depth camera
CN115200510A (en) * 2021-04-09 2022-10-18 圣邦微电子(北京)股份有限公司 Device and method for acquiring depth information of object surface
CN116295097A (en) * 2023-02-15 2023-06-23 天津大学 Three-dimensional data set acquisition and evaluation method and device with material universality
CN116907379A (en) * 2023-07-17 2023-10-20 西安工业大学 Interference fringe wave surface iteration method and device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102938142A (en) * 2012-09-20 2013-02-20 武汉大学 Method for filling indoor light detection and ranging (LiDAR) missing data based on Kinect
CN103279987A (en) * 2013-06-18 2013-09-04 厦门理工学院 Object fast three-dimensional modeling method based on Kinect
CN104567720A (en) * 2015-01-12 2015-04-29 浙江大学 Device for removing mutual interference of multiple Kinect structure light depth cameras

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102938142A (en) * 2012-09-20 2013-02-20 武汉大学 Method for filling indoor light detection and ranging (LiDAR) missing data based on Kinect
CN103279987A (en) * 2013-06-18 2013-09-04 厦门理工学院 Object fast three-dimensional modeling method based on Kinect
CN104567720A (en) * 2015-01-12 2015-04-29 浙江大学 Device for removing mutual interference of multiple Kinect structure light depth cameras

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
刘毅: "结合Kinect的双目视觉场景三维重建", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
周致富: "基于Kinect传感器的三维点云模型重建研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
王欢: "利用Kinect传感器的三维扫描系统研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
郭庆慧: "基于RGBD图像的三维重建关键问题研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
郭龙强: "基于摄像机—投影仪系统的三维重构技术研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
鲁栋栋,吴以凡,张桦: "双Kinect联合扫描点云配准方法", 《杭州电子科技大学学报》 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108286950A (en) * 2017-12-27 2018-07-17 中国科学院长春光学精密机械与物理研究所 A kind of online test method of reflecting mirror surface shape
CN108332662A (en) * 2018-02-06 2018-07-27 新石器龙码(北京)科技有限公司 A kind of object measuring method and device
CN108332662B (en) * 2018-02-06 2020-02-11 新石器龙码(北京)科技有限公司 Object measuring method and device
CN110360925A (en) * 2018-04-10 2019-10-22 中国科学院物理研究所 The calibration method and calibrating installation of magnetic spherical coordinates for magnetic tweezers
CN108981782A (en) * 2018-05-16 2018-12-11 吉林工程技术师范学院 A method of it is realized using mobile phone and calculates relevance imaging
CN108981782B (en) * 2018-05-16 2020-08-25 吉林工程技术师范学院 Method for realizing calculation correlation imaging by using mobile phone
CN108759720A (en) * 2018-06-07 2018-11-06 合肥工业大学 Smooth surface surface type measurement method
CN109059806B (en) * 2018-07-26 2019-09-06 河北工业大学 A kind of mirror article three dimension profile measurement device and method based on infrared stripes
CN109059806A (en) * 2018-07-26 2018-12-21 河北工业大学 A kind of mirror article three dimension profile measurement device and method based on infrared stripes
CN109255819A (en) * 2018-08-14 2019-01-22 清华大学 Kinect scaling method and device based on plane mirror
CN109255819B (en) * 2018-08-14 2020-10-13 清华大学 Kinect calibration method and device based on plane mirror
CN109557101B (en) * 2018-12-29 2023-11-17 桂林电子科技大学 Defect detection device and method for non-elevation reflective curved surface workpiece
CN109557101A (en) * 2018-12-29 2019-04-02 桂林电子科技大学 A kind of defect detecting device and method of nonstandard high reflection curve surface work pieces
CN109900704A (en) * 2019-03-12 2019-06-18 西安交通大学 With gear wear surface microscopic topographic in-situ three-dimensional reconstructing method
CN109974707A (en) * 2019-03-19 2019-07-05 重庆邮电大学 A kind of indoor mobile robot vision navigation method based on improvement cloud matching algorithm
CN110132174A (en) * 2019-05-10 2019-08-16 北方夜视技术股份有限公司 Angel type lobster eye x-ray imaging eyeglass face type test device based on streak reflex method
CN111207679A (en) * 2020-01-17 2020-05-29 四川大学 High-precision reflection element detection method with large measurement span
CN112184790A (en) * 2020-09-02 2021-01-05 福建(泉州)哈工大工程技术研究院 Object size high-precision measurement method based on depth camera
CN112184790B (en) * 2020-09-02 2024-05-17 福建(泉州)哈工大工程技术研究院 Object size high-precision measurement method based on depth camera
CN115200510A (en) * 2021-04-09 2022-10-18 圣邦微电子(北京)股份有限公司 Device and method for acquiring depth information of object surface
CN116295097A (en) * 2023-02-15 2023-06-23 天津大学 Three-dimensional data set acquisition and evaluation method and device with material universality
CN116295097B (en) * 2023-02-15 2024-01-09 天津大学 Three-dimensional data set acquisition and evaluation method and device with material universality
CN116907379A (en) * 2023-07-17 2023-10-20 西安工业大学 Interference fringe wave surface iteration method and device

Also Published As

Publication number Publication date
CN106871815B (en) 2019-04-12

Similar Documents

Publication Publication Date Title
CN106871815B (en) A kind of class mirror surface three dimension profile measurement method of Kinect in conjunction with streak reflex method
CN110288642B (en) Three-dimensional object rapid reconstruction method based on camera array
CN110514143B (en) Stripe projection system calibration method based on reflector
CN104335005B (en) 3D is scanned and alignment system
Sansoni et al. Calibration and performance evaluation of a 3-D imaging sensor based on the projection of structured light
CN110728671B (en) Dense reconstruction method of texture-free scene based on vision
CN107167093B (en) A kind of the combined type measuring system and measurement method of laser line scanning and shadow Moire
WO2016138758A1 (en) Calibration method of telecentric imaging three-dimensional shape measurement system
CN202074952U (en) Three dimensional profiles and colored textures acquisition system based on single camera-single overhead projector
JP5633058B1 (en) 3D measuring apparatus and 3D measuring method
CN108759721A (en) A kind of 3 D measuring method and device for projecting and reflecting based on optical stripe
JP6695440B2 (en) Depth sensing system
Garrido-Jurado et al. Simultaneous reconstruction and calibration for multi-view structured light scanning
CN109307483A (en) A kind of phase developing method based on structured-light system geometrical constraint
CN102243103A (en) Method for quickly measuring colors and three-dimensional profile of object
CN109556535A (en) A kind of one step reconstructing method of tri-dimensional facial type based on color fringe projection
US20210166412A1 (en) Method and system for measuring an object by means of stereoscopy
CN112815843A (en) Online monitoring method for workpiece surface printing deviation in 3D printing process
Traxler et al. Experimental comparison of optical inline 3D measurement and inspection systems
CN113643436A (en) Depth data splicing and fusing method and device
JPH09218022A (en) Contour determination method for diffusion surface of work
CN112489109A (en) Three-dimensional imaging system method and device and three-dimensional imaging system
CN108175535A (en) A kind of dentistry spatial digitizer based on microlens array
Knyaz Multi-media projector–single camera photogrammetric system for fast 3D reconstruction
CN110322561A (en) 3D camera and its measurement method for the unordered sorting of robot

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
TR01 Transfer of patent right

Effective date of registration: 20210407

Address after: No. 800, Chenggong Road, Baoshan District, Shanghai 200444

Patentee after: SHANGHAI SUPORE INSTRUMENTS Co.,Ltd.

Address before: 330063 No. 696 Feng Nan Road, Jiangxi, Nanchang

Patentee before: Nanchang Hangkong University (NCHU)

TR01 Transfer of patent right