Tiling Silicalite-1 Nanoslabs into 3D Mosaics

S.P.B. Kremer; C.E.A. Kirschhock; A. Aerts; K. Villani; J.A. Martens; O.I. Lebedev; G. Van Tendeloo

doi:10.1002/adma.200305266

Tiling Silicalite Nanoslabs into 3D Mosaics

Microscopy and Microanalysis ◽

10.1017/s1431927603441354 ◽

2003 ◽

Vol 9 (S02) ◽

pp. 270-271

Author(s):

G. Van Tendeloo ◽

O. I. Lebedev ◽

S. P. B. Kremer ◽

C. E. A. Kirschhock ◽

A. Aerts ◽

...

Keyword(s):

3D Mosaics

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3D mosaics with variable-sized tiles

The Visual Computer ◽

10.1007/s00371-008-0242-z ◽

2008 ◽

Vol 24 (7-9) ◽

pp. 617-623 ◽

Cited By ~ 9

Author(s):

V.A. Dos Passos ◽

M. Walter

Keyword(s):

3D Mosaics

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Morphable 3D-Mosaics: A Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments

Advances in Multimedia ◽

10.1155/2008/697454 ◽

2008 ◽

Vol 2008 ◽

pp. 1-17

Author(s):

Nikos Komodakis ◽

Georgios Tziritas

Keyword(s):

Natural Environments ◽

Large Complex ◽

Outdoor Scenes ◽

Hybrid Framework ◽

Interactive Frame ◽

Visual Reconstruction ◽

Sparse Set ◽

3D Mosaics

This paper presents a hybrid (geometry- & image-based) framework suitable for providing photorealistic walkthroughs of large, complex outdoor scenes at interactive frame rates. To this end, based just on a sparse set of real stereoscopic views from the scene, a set ofmorphable 3D-mosaicsis automatically constructed first, and then, during rendering, a continuous morphing between those 3D-mosaics that are nearby to the current viewpoint is taking place. The morphing is both photometric, as well as geometric, while we also ensure that it proceeds in a physically valid manner, thus remaining transparent to the user. The effectiveness of our framework has been demonstrated in the 3D visual reconstruction of the Samaria Gorge in Crete, which is one of the largest and most beautiful gorges in Europe.

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Vision metrology and Structure from Motion for archaeological heritage 3D reconstruction: a Case Study of various Roman mosaics

ACTA IMEKO ◽

10.21014/acta_imeko.v6i3.458 ◽

2017 ◽

Vol 6 (3) ◽

pp. 35 ◽

Cited By ~ 4

Author(s):

Mauro Lo Brutto ◽

Gino Dardanelli

Keyword(s):

Computer Vision ◽

3D Reconstruction ◽

Structure From Motion ◽

3D Model ◽

3D Measurement ◽

Archaeological Heritage ◽

Very High ◽

Archaeological Objects ◽

3D Mosaics

Vision metrology and computer vision can be successfully used for archaeological heritage 3D reconstruction in very high precision 3D measurement projects. Of those archaeological objects requiring very accurate measurements (<1 mm), ancient mosaics comprise some of the most important. The aim of this paper is to assess the photogrammetric/computer vision approach in a vision metrology context as part of a 3D mosaics survey. In order to evaluate the optimal photogrammetric/computer vision workflow in this work, three different surveys were performed on three mosaics of different sizes and locations. Two of these are stored at the Antonino Salinas Regional Archaeological Museum in Palermo (Italy) and the other is located at the Baglio Anselmi Regional Archaeological Museum in Marsala (Italy). The mosaics survey was undertaken in order to obtain a very detailed 3D model and a full-scale ortho-image (scale 1:1), which would be useful for documentation and restoration processes. The research involved an evaluation of the potential and the related issues of the photogrammetric/computer vision approach for 3D mosaic documentation, particularly regarding the issue of camera calibration.

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Flexible multiplane structured illumination microscope with a four-camera detector

10.1101/2020.12.03.410886 ◽

2020 ◽

Cited By ~ 1

Author(s):

Karl A. Johnson ◽

Daniel Noble ◽

Rosa Machado ◽

Guy M. Hagen

Keyword(s):

Fluorescence Microscopy ◽

3D Imaging ◽

Structured Illumination ◽

Axial Resolution ◽

High Quality ◽

3D Images ◽

Rapid Acquisition ◽

Axial Movement ◽

Volumetric Images ◽

3D Mosaics

AbstractFluorescence microscopy provides an unparalleled tool for imaging biological samples. However, producing high-quality volumetric images quickly and without excessive complexity remains a challenge. Here, we demonstrate a simple multi-camera structured illumination microscope (SIM) capable of simultaneously imaging multiple focal planes, allowing for the capture of 3D fluorescent images without any axial movement of the sample. This simple setup allows for the rapid acquisition of many different 3D imaging modes, including 3D time lapses, high-axial-resolution 3D images, and large 3D mosaics.

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