New method of structure light measurement system calibration based on adaptive and effective evaluation of 3D-phase distribution

Sitnik, Robert

doi:10.1117/12.613017

Cited by 34 publications

(32 citation statements)

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“…The measurement uncertainty of 3D shape determination of the method used is less than 0.001 with respect to the measurement volume size. 19 Measurement of the 3D surface lies beyond the scope of the CIE theory, where the L ‫ء‬ a ‫ء‬ b ‫ء‬ color space is used to calculate color differences, because the theory requires the sample to have a well defined measurement geometry and lighting condition. Therefore, it is very difficult to propose an objective method to evaluate the results from a multispectral color measurement system.…”

Section: Verification Of Measurement Resultsmentioning

confidence: 99%

“…It relies on acquiring a set of images of a calibration reference plane in different positions within measurement volume and calculating the phase distribution within this volume. 7,19 Second, during the color calibration, three sequences of measurement procedure are performed: one with the reference plane with markers to compensate for deviations in spectral filter positioning, one with a white reference plate put in the measurement volume for light source spectrum compensation, and one with a uniformly colored background to eliminate uneven illumination in the scene. Ideally, a calibration process could rely on capturing an image of white reference plate which covers the whole field of view of the detector for each spectral channel.…”

Section: Multispectral Color Measurement Systemmentioning

confidence: 99%

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Integrated Method for Three-Dimensional Shape and Multispectral Color Measurement

Mączkowski¹,

Krzesłowski²,

Sitnik³

2011

jist

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This article presents a measurement method for integrated three-dimensional shape and multispectral color measurement with the use of a single detector for data acquisition. Its implementation comprises a shape measurement system using structured light projection combined with a custom developed multispectral camera. Both devices are controlled by dedicated software which enables the estimation of spectral reflection in every point registered on the surface of the measured object. The main application of this research is the digitization of cultural heritage objects for storage, visualization, and copying purposes. Examples of measurement results are presented as well as discussion of measurement uncertainty and directions of further research. INTRODUCTIONIn an age where information systems are rapidly being developed with the advent of the internet and the formation of an information society, there is a growing need for a digital remote access to historical objects of cultural significance. The still growing computational power of personal computers (PCs) offers a new approach to preserve, measure, and visualize monuments.Moreover, it is very important for art conservators to be able to monitor the state of artifacts under varying environmental conditions, for example, monitoring deterioration due to atmospheric factors. A series of measurements taken over a period of time would allow them to estimate the optimal conditions for the storage and exhibition of the artifacts in order to preserve them as much as possible. There are also new methods of displaying cultural heritage artifacts through virtual museums, accessible via the Internet, which show precise reproductions and allow people to visit famous places in virtual reality.However, in order to use information technology to digitize items of cultural significance, it is very important to cooperate closely with art conservators and art historians and use their knowledge to raise the quality of the said digitization results. It benefits both scientists and artists because the former gain professional guidance on the applications of their research and the latter receive new interesting methods

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Section: Verification Of Measurement Resultsmentioning

confidence: 99%

Section: Multispectral Color Measurement Systemmentioning

confidence: 99%

Integrated Method for Three-Dimensional Shape and Multispectral Color Measurement

Mączkowski¹,

Krzesłowski²,

Sitnik³

2011

jist

Self Cite

View full text Add to dashboard Cite

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“…It is further processed in order to obtain a set of (x, y, z) co-ordinates (cloud of points) representing the sampled surface of the measured subject. For the calculation of (x, y, z) co-ordinates a calibration matrix is used 11 . 3DMADMAC system can be customized depending on the requirements of the end-user connected with measurement volume size, amount of measurement points, measurement uncertainty and time of a single measurement.…”

Section: Measurement Methods and Systemmentioning

confidence: 99%

Art documentation quality in function of 3D scanning resolution and precision

Bunsch¹,

Sitnik

Michoński

2011

SPIE Proceedings

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Currently, a lot of different 3D scanning devices are used for 3D acquisition of art artifact surface shape and color. Each of them has different technical parameters starting from measurement principle (structured light, laser triangulation, interferometry, holography) and ending on parameters like measurement volume size, spatial resolution and precision of output data and color information. Some of the 3D scanners can grab additional information like surface normal vectors, BRDF distribution, multispectral color. In this paper, the problem of establishing of threshold for technical parameters of 3D scanning process as a function of required information about the object is discussed. Only two main technical parameters are under consideration, in order to cover as many different 3D scanning devices as possible -measurement sampling density (MSD -represented by number of points per square millimeter) and measurement uncertainty (MUdirectly influencing final data accuracy). Also different materials and finishing techniques require different thresholds of MSD and MU parameters to collect similar documentation (for example documentation of object state for art conservation department) of different objects. In this paper we consider exemplary painting on canvas, wallpainting, graphics prints and stone samples to visualize what object features can be observed within different values of MSD and MU parameters.

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“…A target-based calibration procedure depends on the camera calibration performed using a previously developed method [16]. A planar target with circular markers is used as a reference (see Figure 4.).…”

Section: Camera Calibrationmentioning

confidence: 99%

Novel calibration procedure for SVBRDF estimation of 3D objects using directional illumination and structured light projection

Krzesłowski

Sitnik

Mączkowski

2013

Three-Dimensional Image Processing (3DIP) and Applications 2013

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Estimation of geometry and reflectance of 3D objects requires that surface geometry is registered together with photometric data. We present a method which combines geometrical camera calibration and photometric calibration into a single procedure utilizing only one calibration target. Using structured light projection and directional illumination, the surface of a 3D object can be registered with an integrated measuring device. To estimate spatial distribution of reflectance parameters, a Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) model is used. We also show a 3D image processing method to estimate SVBRDF parameters using an arbitrary defined array of illuminators and algorithms to reconstruct this surface using specialized visualization software. This approach allows for effective measurement of geometry and visual properties of 3D objects represented by a dense point cloud model. It can become a valuable tool for documentation of digital heritage and in industrial computer vision applications.

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New method of structure light measurement system calibration based on adaptive and effective evaluation of 3D-phase distribution

Cited by 34 publications

References 0 publications

Integrated Method for Three-Dimensional Shape and Multispectral Color Measurement

Integrated Method for Three-Dimensional Shape and Multispectral Color Measurement

Art documentation quality in function of 3D scanning resolution and precision

Novel calibration procedure for SVBRDF estimation of 3D objects using directional illumination and structured light projection

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