Emerging Trends in 3D Image Reconstruction and Modeling

2020 ◽  
pp. 129-142
Author(s):  
Parimala Boobalan
Keyword(s):  
Virtual Reality ◽  
Imaging Techniques ◽  
3D Models ◽  
3D Modelling ◽  
3D Image ◽  
Multiple Objects ◽  
3D Images ◽  
3D Image Reconstruction ◽  
Emerging Trends ◽  
3D Content

In recent years, there is a demand for 3D content for computer graphics, communications, and virtual reality. 3D modelling is an emerging topic that is applied in so many real-world applications. The images are taken through camera at multiple angles and medical imaging techniques like CT scan and MRI are also used. From a set of images, intersection of these projection rays is considered to be the position for 3D point. This chapter discusses the construction of 3D images from multiple objects. Various approaches used for construction, triangulation method, challenges in building this model, and the application of 3D models are explained in this chapter.

3D IMAGE RECONSTRUCTION FOR SUBMERGED OBJECTS USING RAMP RESPONSE SIGNATURES

2011 ◽  
Vol 08 (04) ◽  
pp. 825-836
Author(s):  
W. LI
Keyword(s):  
Imaging Techniques ◽  
Research Work ◽  
Acoustic Scattering ◽  
Image Synthesis ◽  
3D Image ◽  
Scattering Problems ◽  
3D Image Reconstruction ◽  
Acoustical Imaging ◽  
Limiting Surface ◽  
Ramp Response

Underwater acoustical imaging techniques and the inverse analysis of acoustic scattering problems have now found many important engineering applications. Based on the physical optics approximation, the ramp response signal can be proven that it is proportional to the profile function of the scatterer, which is defined as the area of cross section of the object perpendicular to the direction of wave propagation. The image synthesis technique named as the approximate limiting surface technique is applied to generated underwater objects by using the ramp responses of the objects. The modification should be made by an iterative procedure which will adjust the parameters of each surface and will yield a result until the profile functions of this generated image at all looking angles are consistent with the input ones. Several typical objects are presented to demonstrate the process of the 3D image generation and the results indicate that the qualities of the final images are quite acceptable. The further research work is to build an automatic iterative mechanism to generate the final image for a submerged object.

scholarly journals Assessing the performance of commercial Agisoft PhotoScan software to deliver reliable data for accurate3D modelling

2018 ◽  
Vol 162 ◽  
pp. 03022 ◽  
Author(s):  
Ahmed Jebur ◽  
Fanar Abed ◽  
Mamoun Mohammed
Keyword(s):  
Shape Analysis ◽  
3D Models ◽  
3D Modelling ◽  
Reliable Data ◽  
Flying Height ◽  
3D Data ◽  
Using Data ◽  
The University ◽  
3D Content ◽  
Processing Cycle

3D models delivered from digital photogrammetric techniques have massively increased and developed to meet the requirements of many applications. The reliability of these models is basically dependent on the data processing cycle and the adopted tool solution in addition to data quality. Agisoft PhotoScan is a professional image-based 3D modelling software, which seeks to create orderly, precise n 3D content from fixed images. It works with arbitrary images those qualified in both controlled and uncontrolled conditions. Following the recommendations of many users all around the globe, Agisoft PhotoScan, has become an important source to generate precise 3D data for different applications. How reliable is this data for accurate 3D modelling applications is the current question that needs an answer. Therefore; in this paper, the performance of the Agisoft PhotoScan software was assessed and analyzed to show the potential of the software for accurate 3D modelling applications. To investigate this, a study was carried out in the University of Baghdad / Al-Jaderia campus using data collected from airborne metric camera with 457m flying height. The Agisoft results show potential according to the research objective and the dataset quality following statistical and validation shape analysis.

Fast 3D image reconstruction algorithm based on artificial intelligence technology

2021 ◽  
pp. 002072092098504
Author(s):  
An Weigang ◽  
Pan Jinxiao
Keyword(s):  
Artificial Intelligence ◽  
High Resolution ◽  
Image Reconstruction ◽  
Three Dimensional ◽  
Feature Analysis ◽  
3D Image ◽  
3D Images ◽  
Dimensional Image ◽  
Fine Grained ◽  
3D Image Reconstruction

In order to improve the 3D reconstruction capability of high-resolution fine-grained 3D images, a fast 3D image reconstruction algorithm based on artificial intelligence technology is proposed. The cross-gradient sharpening detection method is used to collect features and extract information from high-resolution fine-grained three-dimensional images, and establish an edge contour feature detection model for high-resolution fine-grained three-dimensional images. Combining the salient feature analysis method and the subspace feature analysis method to cluster and analyze the high-resolution fine-grained three-dimensional image. In the artificial intelligence environment, the saliency of the three-dimensional image is detected and analyzed, and the multi-dimensional segmentation and gray histogram of the high-resolution fine-grained three-dimensional image are reconstructed through the subspace segmentation method. According to the reconstruction results of the gray histogram, fast 3D image reconstruction and image fusion processing are performed. Finally, the accurate detection and recognition of the reconstructed image is realized. The simulation results show that this method has a good effect on 3D image reconstruction, and the time cost of image reconstruction is relatively short. It improves the recognition and feature analysis capabilities of high-resolution fine-grained 3D images, and has good application value in the reconstruction, detection and recognition of high-resolution fine-grained 3D images.

scholarly journals DEVELOPING A STRATEGY FOR PRECISE 3D MODELLING OF LARGE-SCALE SCENES FOR VR

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 567-574 ◽  
Author(s):  
A. El Saer ◽  
C. Stentoumis ◽  
I. Kalisperakis ◽  
P. Nomikou
Keyword(s):  
Virtual Reality ◽  
Large Scale ◽  
Digital Terrain Model ◽  
3D Models ◽  
3D Modelling ◽  
Mesh Simplification ◽  
Geospatial Data ◽  
Terrain Model ◽  
Physically Based ◽  
Physically Based Rendering

Abstract. In this work, we present a methodology for precise 3D modelling and multi-source geospatial data blending for the purposes of Virtual Reality immersive and interactive experiences. We evaluate it on the volcanic island of Santorini due to its formidable geological terrain and the interest it poses for scientific and touristic purposes. The methodology developed here consists of three main steps. Initially, bathymetric and SRTM data are scaled down to match the smallest resolution of our dataset (LIDAR). Afterwards, the resulted elevations are combined based on the slope of the relief, while considering a buffer area to enforce a smoother terrain. As a final step, the orthophotos are combined with the estimated Digital Terrain Model, via applying a nearest neighbour matching schema leading to the final terrain background. In addition to this, both onshore and offshore points-of-interest were modelled via image-based 3D reconstruction and added to the virtual scene. The overall geospatial data that need to be visualized in applications demanding photo-textured hyper-realistic models pose a significant challenge. The 3D models are treated via a mesh optimization workflow, suitable for efficient and fast visualization in virtual reality engines, through mesh simplification, physically based rendering texture maps baking, and level-of-details.

scholarly journals Simulation of 3D Image Reconstruction in Rigid body Motion

2018 ◽  
Vol 232 ◽  
pp. 02002
Author(s):  
Huihong Chen ◽  
Shiming Li
Keyword(s):  
Image Reconstruction ◽  
Rigid Body ◽  
Rigid Body Motion ◽  
Corner Detection ◽  
Body Motion ◽  
3D Image ◽  
3D Images ◽  
3D Image Reconstruction ◽  
Contour Feature

3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid body motion. A 3D image reconstruction technique is proposed based on corner detection and edge contour feature extraction in this paper. Region scanning and point scanning are combined to scan rigid body moving object image. The wavelet denoising method is used to reduce the noise of the 3D image. The edge contour feature of the image is extracted. The sparse edge pixel fusion method is used to decompose the feature of the 3D image under the rigid body motion. The irregular triangulation method is used to extract and reconstruct the information features of the rigid body 3D images. The reconstructed feature points are accurately calibrated with the corner detection method to realize the effective reconstruction of the 3D images. The simulation results show that the method has good quality, high SNR of output image and high registration rate of feature points of image reconstruction, and proposed method has good performance of 3D image reconstruction.

scholarly journals Predictive 3D Modelling and Virtual Reality of the World Cultural Heritage of Ruins of the Buddhist Vihara at Paharpur, Bangladesh

2021 ◽  
Author(s):  
Md. Masood Imran ◽  
Miner Masud
Keyword(s):  
Virtual Reality ◽  
Cultural Heritage ◽  
Predictive Modelling ◽  
3D Models ◽  
3D Modelling ◽  
New Paradigm ◽  
Archaeological Data ◽  
The Past ◽  
The World ◽  
World Cultural Heritage

Generating predictive 3D modelling and virtual reality (VR) of the World Cultural Heritage of ruins of the Buddhist vihara at Paharpur, Bangladesh, is the ultimate notion of this research paper. In Bangladesh archaeology, it is a new paradigm to generate the predictive 3D models of the ruined structures in real mood and develop a VR to organise a journey from ruins mood to near to real mood. It will help to forecast the past virtually through the journey of present towards past. Futuristic forecasting is the normalised phenomenon in statistical analysis, despite the archaeologist’s motto, which is to predict the past. Methodologically, philosophising the vihara architecture of the Bangla region by following Vajrayana Buddhism is the first step. Then, information technology and archaeological data enable the 3D model generation of a known structure, producing high-quality outputs of the historic site for digital conservation. Finally, 3D predictive modelling has been achieved by supporting the integrated and interactive consideration of data, established 3D modelling and VR generating tools, and the guidance of the London Charter of 2006 and the Seville Principle of 2011 for the regenerating of the cultural heritage of ruins of the Buddhist vihara at Paharpur, Bangladesh.

scholarly journals Assessing the Feasibility of Using Kinect 3D Images to Predict Light Lamb Carcasses Composition from Leg Volume

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3595
Author(s):  
Severiano R. Silva ◽  
Mariana Almeida ◽  
Isabella Condotta ◽  
André Arantes ◽  
Cristina Guedes ◽  
...  
Keyword(s):  
Body Weight ◽  
Carcass Traits ◽  
Microsoft Kinect ◽  
Kinect Sensor ◽  
3D Image ◽  
3D Images ◽  
3D Image Reconstruction ◽  
Good Ability ◽  
Microsoft Kinect Sensor ◽  
Area And Volume

This study aimed to evaluate the accuracy of the leg volume obtained by the Microsoft Kinect sensor to predict the composition of light lamb carcasses. The trial was performed on carcasses of twenty-two male lambs (17.6 ± 1.8 kg, body weight). The carcasses were split into eight cuts, divided into three groups according to their commercial value: high-value, medium value, and low-value group. Linear, area, and volume of leg measurements were obtained to predict carcass and cuts composition. The leg volume was acquired by two different methodologies: 3D image reconstruction using a Microsoft Kinect sensor and Archimedes principle. The correlation between these two leg measurements was significant (r = 0.815, p < 0.01). The models to predict cuts and carcass traits that include leg Kinect 3D sensor volume are very good in predicting the weight of the medium value and leg cuts (R2 of 0.763 and 0.829, respectively). Furthermore, the model, which includes the Kinect leg volume, explained 85% of its variation for the carcass muscle. The results of this study confirm the good ability to estimate cuts and carcass traits of light lamb carcasses with leg volume obtained with the Kinect 3D sensor.

scholarly journals REVIEW OF AUGMENTED REALITY AND VIRTUAL REALITY TECHNIQUES IN ROCK ART

2016 ◽  
Author(s):  
Silvia Blanco ◽  
Berta Carrión ◽  
José Luis Lerma
Keyword(s):  
Virtual Reality ◽  
Video Games ◽  
Augmented Reality ◽  
Rock Art ◽  
Three Dimensional ◽  
3D Models ◽  
3D Modelling ◽  
Portable Devices ◽  
Main Field ◽  
The Past

The usage of augmented reality (AR) and virtual reality (VR) technologies began to grow when smartphones appeared. Until then, the number of portable devices capable of incorporating these technologies was reduced. Video games are the main field where these technologies are applied, but in other fields such as in archaeology, these technologies can offer many advantages. Ruins reconstruction, ancient life simulation, highly detailed 3D models visualisation of valuable objects from the past or even user free movement in missing places are just some examples found in literature.This paper reviews the latest visualisation technologies and their applicability to the rock art field. The main purpose is to disseminate rock art paintings through AR and VR applications. After the image-based three-dimensional (3D) modelling is obtained, an interactive visit to a shelter for displaying rock art paintings is presented. This is one of examples developed in this paper that pretends to apply the revised AR and VR techniques. In addition, an example of AR is developed that can be easily adapted to further applications displaying rock art paintings.

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