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Malgorzata Kujawinska

Researcher at Warsaw University of Technology

Publications -  393
Citations -  4019

Malgorzata Kujawinska is an academic researcher from Warsaw University of Technology. The author has contributed to research in topics: Holography & Interferometry. The author has an hindex of 29, co-authored 377 publications receiving 3525 citations. Previous affiliations of Malgorzata Kujawinska include University of Warsaw.

Papers
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Proceedings ArticleDOI

Automatic Fringe Pattern Analysis For Moire Interferometry

TL;DR: In this article, the phase stepping method applied to moire interferometry is used for analysis of stable fringes directly in the Moire Interferometry set-up where a polarizing phase shifter is used.
Journal ArticleDOI

Near-infrared, wavelength, and illumination scanning holographic tomography.

TL;DR: In this article , the authors presented a holographic tomography technique in which the projections are acquired using both wavelength and illumination scanning in the near-infrared region, and they showed how to process the acquired data to obtain correct values of three-dimensional refractive index distributions in both single-wavelength and multiscale data acquisition schemes and properly account for the dispersion of the sample.
Proceedings ArticleDOI

Hybrid FEM/grating interferometry analysis of displacement fields in mechanical elements

TL;DR: In this paper, the concept of interactive implementation of grating interferometry and FEM is proposed in order to provide additional information to properly design and control both numerical and experimental procedures.
Proceedings ArticleDOI

Two detector, active digital holographic camera for 3D imaging and digital holographic interferometry

TL;DR: In this paper, an active holographic camera consisting of two array detectors and Liquid Crystal on Silicon (LCOS) Spatial Light Modulator (SLM) is presented, which allows sequential or simultaneous capture of two Fresnel holograms of 3D objects/scene.
Proceedings ArticleDOI

Automatic anatomical structures location based on dynamic shape measurement

TL;DR: The paper presents algorithms used to process acquired lower limbs surface data in order to find the position and orientation of patella, and a method of 4D (3D + time) medical data visualization is proposed.