Automated high resolution 3D reconstruction of cultural heritage using multi-scale sensor systems and semi-global matching

An approach to the representation and presentation of spatial and geographical context of cultural heritage sites is proposed. The goal is to combine semantic representations of social and historical context with 3D representations of cultural heritage sites acquired through 3D reconstruction and 3D modeling technologies, to support their interpretation and presentation in education and tourism. Several use cases support and demonstrate the application of the proposed approach including immersive craft and context demonstration environment and interactive games.

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Three-dimensional Reconstruction of Microscopic Image Based on Multi-ST Algorithm

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2020.64.2.020506 ◽

2020 ◽

Vol 64 (2) ◽

pp. 20506-1-20506-7

Author(s):

Min Zhu ◽

Rongfu Zhang ◽

Pei Ma ◽

Xuedian Zhang ◽

Qi Guo

Keyword(s):

3D Reconstruction ◽

Three Dimensional ◽

Scale Model ◽

Microscopic Image ◽

Multi Scale ◽

Gaussian Pyramid ◽

Cost Aggregation ◽

Dimensional Reconstruction ◽

Image Pairs ◽

Accurate Matching

Abstract Three-dimensional (3D) reconstruction is extensively used in microscopic applications. Reducing excessive error points and achieving accurate matching of weak texture regions have been the classical challenges for 3D microscopic vision. A Multi-ST algorithm was proposed to improve matching accuracy. The process is performed in two main stages: scaled microscopic images and regularized cost aggregation. First, microscopic image pairs with different scales were extracted according to the Gaussian pyramid criterion. Second, a novel cost aggregation approach based on the regularized multi-scale model was implemented into all scales to obtain the final cost. To evaluate the performances of the proposed Multi-ST algorithm and compare different algorithms, seven groups of images from the Middlebury dataset and four groups of experimental images obtained by a binocular microscopic system were analyzed. Disparity maps and reconstruction maps generated by the proposed approach contained more information and fewer outliers or artifacts. Furthermore, 3D reconstruction of the plug gauges using the Multi-ST algorithm showed that the error was less than 0.025 mm.

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High‐resolution MRI of the human palatine tonsil and its schematic anatomic 3D reconstruction

Journal of Anatomy ◽

10.1111/joa.13532 ◽

2021 ◽

Author(s):

Karl‐Heinz Herrmann ◽

Franziska Hoffmann ◽

Günther Ernst ◽

David Pertzborn ◽

Daniela Pelzel ◽

...

Keyword(s):

High Resolution ◽

3D Reconstruction ◽

Palatine Tonsil ◽

High Resolution Mri

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3D Reconstruction of Cultural Heritage Sites as an Educational Approach. The Sanctuary of Delphi

Applied Sciences ◽

10.3390/app11083635 ◽

2021 ◽

Vol 11 (8) ◽

pp. 3635

Author(s):

Ioannis Liritzis ◽

Pantelis Volonakis ◽

Spyros Vosinakis

Keyword(s):

University Students ◽

3D Reconstruction ◽

Cultural Heritage ◽

New Technology ◽

Three Dimensional ◽

Computer Gaming ◽

Educational Approach ◽

Heritage Sites ◽

3D Environment ◽

Almost All

In the field of cultural heritage, three-dimensional (3D) reconstruction of monuments is a usual activity for many professionals. The aim in this paper focuses on the new technology educational application combining science, history, and archaeology. Being involved in almost all stages of implementation steps and assessing the level of participation, university students use tools of computer gaming platform and participate in ways of planning the virtual environment which improves their education through e-Learning. The virtual 3D environment is made with different imaging methods (helium-filled balloon, Structure for motion, 3D repository models) and a developmental plan has been designed for use in many future applications. Digital tools were used with 3D reconstructed buildings from the museum archive to Unity 3D for the design. The pilot study of Information Technology work has been employed to introduce cultural heritage and archaeology to university syllabuses. It included students with a questionnaire which has been evaluated accordingly. As a result, the university students were inspired to immerse themselves into the virtual lab, aiming to increasing the level of interaction. The results show a satisfactory learning outcome by an easy to use and real 3D environment, a step forward to fill in needs of contemporary online sustainable learning demands.

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Fast and accurate GPU-accelerated, high-resolution 3D registration for the robotic 3D reconstruction of compliant food objects

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2020.105929 ◽

2021 ◽

Vol 180 ◽

pp. 105929

Author(s):

Ulrich Johan Isachsen ◽

Theoharis Theoharis ◽

Ekrem Misimi

Keyword(s):

High Resolution ◽

3D Reconstruction ◽

3D Registration

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Learning a Dynamic High-Resolution Network for Multi-Scale Pedestrian Detection

2020 25th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr48806.2021.9412992 ◽

2021 ◽

Author(s):

Mengyuan Ding ◽

Shanshan Zhang ◽

Jian Yang

Keyword(s):

High Resolution ◽

Pedestrian Detection ◽

Multi Scale

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Ultra-High-Resolution 1 m/pixel CaSSIS DTM Using Super-Resolution Restoration and Shape-from-Shading: Demonstration over Oxia Planum on Mars

Remote Sensing ◽

10.3390/rs13112185 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2185

Author(s):

Yu Tao ◽

Sylvain Douté ◽

Jan-Peter Muller ◽

Susan J. Conway ◽

Nicolas Thomas ◽

...

Keyword(s):

High Resolution ◽

3D Reconstruction ◽

Imaging System ◽

Processing System ◽

Digital Terrain Model ◽

Super Resolution ◽

Landing Site ◽

Shape From Shading ◽

Stereo Pair ◽

Terrain Model

We introduce a novel ultra-high-resolution Digital Terrain Model (DTM) processing system using a combination of photogrammetric 3D reconstruction, image co-registration, image super-resolution restoration, shape-from-shading DTM refinement, and 3D co-alignment methods. Technical details of the method are described, and results are demonstrated using a 4 m/pixel Trace Gas Orbiter Colour and Stereo Surface Imaging System (CaSSIS) panchromatic image and an overlapping 6 m/pixel Mars Reconnaissance Orbiter Context Camera (CTX) stereo pair to produce a 1 m/pixel CaSSIS Super-Resolution Restoration (SRR) DTM for different areas over Oxia Planum on Mars—the future ESA ExoMars 2022 Rosalind Franklin rover’s landing site. Quantitative assessments are made using profile measurements and the counting of resolvable craters, in comparison with the publicly available 1 m/pixel High-Resolution Imaging Experiment (HiRISE) DTM. These assessments demonstrate that the final resultant 1 m/pixel CaSSIS DTM from the proposed processing system has achieved comparable and sometimes more detailed 3D reconstruction compared to the overlapping HiRISE DTM.

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