Visual Saliency Guided Global and Local Resizing for 3D Models

To simulate arbitrary three dimensional models, this technology of triangular polyhedron 3D human-computer interaction modeling was proposed. Achieving the technology has following three steps. Firstly, the coordinates of 3D nodes were projected onto the plane by the method of 3D geometric transformation. Then, this information which was made up of triangles and sides and nodes was picked up by 3D picking methods. Finally, the technique of rubber membrane was used to modify the nodes of triangles, and the 3D modification was achieved by means of anti-transformation. Moreover, the method of global and local mesh encryption was also designed to modify 3D topology structure, which was aimed at better simulate complex 3D models. This technology combined geophysical forwarding compute and formed the method of data-interaction simulation, which provided a means of visualization for geophysical data interpretation.

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Cube of Space Sampling for 3D Model Retrieval

Applied Sciences ◽

10.3390/app112311142 ◽

2021 ◽

Vol 11 (23) ◽

pp. 11142

Author(s):

Zong-Yao Chen ◽

Chih-Fong Tsai ◽

Wei-Chao Lin

Keyword(s):

3D Model ◽

State Of The Art ◽

3D Models ◽

3D Model Retrieval ◽

Feature Representation ◽

Direct Extraction ◽

Feature Descriptors ◽

Model Retrieval ◽

Representation Method ◽

Global And Local

Since the number of 3D models is rapidly increasing, extracting better feature descriptors to represent 3D models is very challenging for effective 3D model retrieval. There are some problems in existing 3D model representation approaches. For example, many of them focus on the direct extraction of features or transforming 3D models into 2D images for feature extraction, which cannot effectively represent 3D models. In this paper, we propose a novel 3D model feature representation method that is a kind of voxelization method. It is based on the space-based concept, namely CSS (Cube of Space Sampling). The CSS method uses cube space 3D model sampling to extract global and local features of 3D models. The experiments using the ESB dataset show that the proposed method to extract the voxel-based features can provide better classification accuracy than SVM and comparable retrieval results using the state-of-the-art 3D model feature representation method.

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An Experiment in Using Visual Attention Metrics to Think About Experience and Design Choices in Past Places

10.31235/osf.io/73rt5 ◽

2017 ◽

Author(s):

Rachel Opitz

Keyword(s):

Visual Attention ◽

Visual Saliency ◽

3D Models ◽

Video Stream ◽

Digital Environment ◽

Perceptual Cues ◽

Modeling Tools ◽

Saliency Maps ◽

Cognitive Neurosciences ◽

Visual Properties

The influence of the visual properties of a built space or landscape on the behaviors of people within them, and the manipulation of these visual properties to cue or constrain behaviors are subjects of longstanding archaeological interest. Advances in cognitive neurosciences and a suite of improved computational modeling tools, combined with the proliferation of detailed 3D models of archaeological complexes and landscapes, offer an opportunity for new approaches to these topics based on models of low level perceptual cues and visual attention. The approach described here takes aim at the question of where people will look, rather than simply what is visible, with the goal of investigating the intentions of designers of spaces, and visual aspects of the experience of a place. In simple terms, our approach involves placing detailed 3D models of built spaces or landscapes into a digital environment. An individual then virtually walks through the space and what is visible at each moment is recorded in the form of a video stream, which may be broken down into a sequence of scenes. This set of scenes is then analyzed using software that calculates and maps the visual saliency of each scene and the path of focuses of attention (FOA) over time. This set of saliency maps, raw images, and FOA paths provide the basis for further interpretation. This paper presents an initial experiment to illustrate the approach, carried out in the eastern passage at Knowth, one of the main mounds in the Brú na Bóinne in Ireland.

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TWO-SCALE 3D ANALYSIS OF REFLECTIVE CRACKS IN AIRFIELD PAVEMENTS

International Journal of Computational Methods ◽

10.1142/s021987621350045x ◽

2013 ◽

Vol 10 (06) ◽

pp. 1350045 ◽

Cited By ~ 3

Author(s):

JORGE GARZON ◽

DAE-JIN KIM ◽

C. ARMANDO DUARTE ◽

WILLIAM G. BUTTLAR

Keyword(s):

Finite Element ◽

3D Models ◽

3D Analysis ◽

Local Domain ◽

Generalized Finite Element Method ◽

Reflective Cracking ◽

Multi Scale ◽

Macro Scale ◽

Local Problems ◽

Global And Local

Prediction and simulation of load-related reflective cracking in airfield pavements require 3D models in order to accurately capture the effects of gear loads on crack initiation and propagation. Furthermore, the size relations between aircraft landing gear, pavement area and reflective cracks make this a multi-scale problem. This paper presents a generalized finite element method (GFEM) based on the solution of interdependent global and local problems. The macro-scale component of the solution is approximated by a finite element global model, while the fine-scale is addressed by a local model. This allows accurate modeling of cracks in airfield pavements that are orders of magnitude larger than the critical zones in which the initiation of reflective cracking occurs. Two 3D pavement models are created for this study. The first model is subjected to the gear loading of a Boeing 777 aircraft. This example demonstrates the accuracy of solving a multi-scale pavement problem with a GFEM enriched with local problem solutions. The second problem studies the effect of the size of the local domain on the accuracy of the GFEM solution. The numerical simulations show that 3D multi-scale problems such as reflective cracks in airfield pavements, can be efficiently solved by a GFEM based on interdependent global and local problems.

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Sunspot Groups as Tracers of Sub-Surface Processes

International Astronomical Union Colloquium ◽

10.1017/s0252921100064393 ◽

2000 ◽

Vol 179 ◽

pp. 155-160

Author(s):

M. H. Gokhale

Keyword(s):

Magnetic Flux ◽

Indian Institute ◽

Surface Processes ◽

The Sun ◽

Global And Local ◽

Sunspot Groups

AbstractData on sunspot groups have been quite useful for obtaining clues to several processes on global and local scales within the sun which lead to emergence of toroidal magnetic flux above the sun’s surface. I present here a report on such studies carried out at Indian Institute of Astrophysics during the last decade or so.

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Establishing global and local coherence in discourse processing: Evidence from fMRI

PsycEXTRA Dataset ◽

10.1037/e520562012-024 ◽

2009 ◽

Author(s):

Paul van den Broek ◽

Ben Seipel ◽

Virginia Clinton ◽

Edward J. O'Brien ◽

Philip Burton ◽

...

Keyword(s):

Discourse Processing ◽

Local Coherence ◽

Global And Local

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Landmark use in pigeons: Determining direction by global and local landmarks

PsycEXTRA Dataset ◽

10.1037/e665402011-288 ◽

1991 ◽

Author(s):

Ken Cheng

Keyword(s):

Global And Local

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THE GENESIS OF TOOLS FOR TEACHING PUPILS TO DEVELOP FLOWCHARTS

Informatics in school ◽

10.32517/2221-1993-2020-19-1-11-15 ◽

2020 ◽

pp. 11-15

Author(s):

A. A. Zubrilin ◽

M. N. Makarov

Keyword(s):

Historical Perspective ◽

3D Models ◽

Computer Applications ◽

Internet Services

The historical perspective provides an overview of how to study flowcharts in a school informatics course. Computer applications and Internet services are considered that automate the development of flowcharts. It is shown how 3D technologies can help an informatics teacher in preparing 3D models for the study of flowcharts.

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Coral husbandry for ocean futures: leveraging abiotic factors to increase survivorship, growth, and resilience in juvenile Montipora capitata

Marine Ecology Progress Series ◽

10.3354/meps13534 ◽

2021 ◽

Vol 657 ◽

pp. 123-133

Author(s):

JR Hancock ◽

AR Barrows ◽

TC Roome ◽

AS Huffmyer ◽

SB Matsuda ◽

...

Keyword(s):

Abiotic Factors ◽

Larval Rearing ◽

Abiotic Conditions ◽

Montipora Capitata ◽

Reef Restoration ◽

Juvenile Corals ◽

Bleaching Response ◽

The Face ◽

Survival And Growth ◽

Global And Local

Reef restoration via direct outplanting of sexually propagated juvenile corals is a key strategy in preserving coral reef ecosystem function in the face of global and local stressors (e.g. ocean warming). To advance our capacity to scale and maximize the efficiency of restoration initiatives, we examined how abiotic conditions (i.e. larval rearing temperature, substrate condition, light intensity, and flow rate) interact to enhance post-settlement survival and growth of sexually propagated juvenile Montipora capitata. Larvae were reared at 3 temperatures (high: 28.9°C, ambient: 27.2°C, low: 24.5°C) for 72 h during larval development, and were subsequently settled on aragonite plugs conditioned in seawater (1 or 10 wk) and raised in different light and flow regimes. These juvenile corals underwent a natural bleaching event in Kāne‘ohe Bay, O‘ahu, Hawai‘i (USA), in summer 2019, allowing us to opportunistically measure bleaching response in addition to survivorship and growth. This study demonstrates how leveraging light and flow can increase the survivorship and growth of juvenile M. capitata. In contrast, larval preconditioning and substrate conditioning had little overall effect on survivorship, growth, or bleaching response. Importantly, there was no optimal combination of abiotic conditions that maximized survival and growth in addition to bleaching tolerances. This study highlights the ability to tailor sexual reproduction for specific restoration goals by addressing knowledge gaps and incorporating practices that could improve resilience in propagated stocks.

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