scholarly journals 3D Film Animation Image Acquisition and Feature Processing Based on the Latest Virtual Reconstruction Technology

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Siwei Wu ◽  
Shan Xiao ◽  
Yihua Di ◽  
Cheng Di
Keyword(s):  
Image Acquisition ◽  
Target Face ◽  
Reconstructed Image ◽  
Information Capacity ◽  
Reconstruction Process ◽  
3D Face ◽  
Data Subset ◽  
Feature Processing ◽  
Virtual Reconstruction ◽  
Display Resolution

In this paper, the latest virtual reconstruction technology is used to conduct in-depth research on 3D movie animation image acquisition and feature processing. This paper firstly proposes a time-division multiplexing method based on subpixel multiplexing technology to improve the resolution of integrated imaging reconstruction images. By studying the degradation effect of the reconstruction process of the 3D integrated imaging system, it is proposed to improve the display resolution by increasing the pixel point information of fixed display array units. According to the subpixel multiplexing, an algorithm to realize the reuse of pixel point information of 3D scene element image gets the element image array with new information; then, through the high frame rate light emitting diode (LED) large screen fast output of the element image array, the human eye temporary retention effect is used, so that this group of element image array information go through a plane display, to increase the limited display array information capacity thus improving the reconstructed image. In this way, the information capacity of the finite display array is increased and the display resolution of the reconstructed image is improved. In this paper, we first use the classification algorithm to determine the gender and expression attributes of the face in the input image and filter the corresponding 3D face data subset in the database according to the gender and expression attributes, then use the sparse representation theory to filter the prototype face like the target face in the data subset, then use the filtered prototype face samples to construct the sparse deformation model, and finally use the target faces. Finally, the target 3D face is reconstructed using the feature points of the target face for model matching. The experimental results show that the algorithm reconstructs faces with high realism and accuracy, and the algorithm can reconstruct expression faces.

scholarly journals PROBABILISTIC FEASIBILITY OF THE RECONSTRUCTION PROCESS OF RUSSIAN-ORTHODOX CHURCHES

2016 ◽  
Vol XLI-B5 ◽  
pp. 221-227
Author(s):  
M. Chizhova ◽  
A. Brunn ◽  
U. Stilla
Keyword(s):  
Point Cloud ◽  
A Priori ◽  
Simulated Dataset ◽  
Russian Orthodox ◽  
3D Point Cloud ◽  
Probabilistic Framework ◽  
Reconstruction Process ◽  
Virtual Reconstruction ◽  
Cultural Constructions ◽  
Geometric Primitives

The cultural human heritage is important for the identity of following generations and has to be preserved in a suitable manner. In the course of time a lot of information about former cultural constructions has been lost because some objects were strongly damaged by natural erosion or on account of human work or were even destroyed. It is important to capture still available building parts of former buildings, mostly ruins. This data could be the basis for a virtual reconstruction. Laserscanning offers in principle the possibility to take up extensively surfaces of buildings in its actual status. <br><br> In this paper we assume a priori given 3d-laserscanner data, 3d point cloud for the partly destroyed church. There are many well known algorithms, that describe different methods of extraction and detection of geometric primitives, which are recognized separately in 3d points clouds. In our work we put them in a common probabilistic framework, which guides the complete reconstruction process of complex buildings, in our case russian-orthodox churches. <br><br> Churches are modeled with their functional volumetric components, enriched with a priori known probabilities, which are deduced from a database of russian-orthodox churches. Each set of components represents a complete church. The power of the new method is shown for a simulated dataset of 100 russian-orthodox churches.

scholarly journals A VERSATILE MULTI-CAMERA SYSTEM FOR 3D ACQUISITION AND MODELING

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 785-790
Author(s):  
O. Lanz ◽  
F. Sottsas ◽  
M. Conni ◽  
M. Boschetti ◽  
E. Nocerino ◽  
...  
Keyword(s):  
Low Cost ◽  
Image Acquisition ◽  
Processing System ◽  
3D Models ◽  
Surface Generation ◽  
Joint Work ◽  
Camera System ◽  
Reconstruction Process ◽  
Reconstruction Methods ◽  
3D Digitization

Abstract. Image-based 3D models generation typically involves three stages, namely: 2D image acquisition, data processing, and 3D surface generation and editing. The availability of different easy-to-use and low-cost image acquisition solutions, combined with open-source or commercial processing tools, has democratized the 3D reconstruction and digital twin generation. But high geometric and texture fidelity on small- to medium-scale objects as well as integrated commercial system for mass 3D digitization are not available. The paper presents our effort to build such a system, i.e. a market-ready multi-camera solution and a customized reconstruction process for mass 3D digitization of small to medium objects. The system is realized as a joint work between industrial and academic partners, in order to employ the latest technologies for the needs of the market. The proposed versatile image acquisition and processing system pushes to the limits the 3D digitization pipeline combining a rigid capturing system with photogrammetric reconstruction methods.

scholarly journals Algorithm of 3D Virtual Reconstruction of Ancient Buildings in Qing Dynasty Based on Image Sequence

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chuan Lu
Keyword(s):  
Qing Dynasty ◽  
3D Model ◽  
Three Dimensional ◽  
Reconstruction Algorithm ◽  
Image Sequence ◽  
Camera Model ◽  
Three Dimensional Model ◽  
Reconstruction Process ◽  
The Qing Dynasty ◽  
Virtual Reconstruction

Aiming at the problem of low accuracy and poor integrity of traditional Qing Dynasty ancient architecture 3D virtual reconstruction algorithm, a 3D virtual reconstruction algorithm of Qing Dynasty ancient architecture based on image sequence is proposed. Acquire the sequence images of ancient buildings in the Qing Dynasty through the pinhole camera model, analyze the projective space and reconstruction space of the sequence images, redefine the similarity measurement coefficient according to the improved 2DPCA-SIFT feature matching algorithm, match the feature points of the ancient architecture images in the Qing Dynasty, and use random sampling to be consistent. The algorithm solves the basic matrix, removes the interference error in the image reconstruction process, and realizes the design of the three-dimensional reconstruction algorithm through image sequence fusion. The experimental results show that, compared with the existing methods, the completeness of the three-dimensional virtual reconstruction 3D model of ancient Qing Dynasty buildings constructed by the designed algorithm is 87.26% on average, and the completeness and accuracy of the 3D model construction of the subparts of the ancient Qing Dynasty buildings of this method are better. The height of the building fully shows that the designed building has good performance in the construction of the three-dimensional model of ancient buildings in the Qing Dynasty.

scholarly journals Semantically Documenting Virtual Reconstruction: Building a Path to Knowledge Provenance

2015 ◽  
Vol II-5/W3 ◽  
pp. 33-40 ◽  
Author(s):  
G. Bruseker ◽  
A. Guillem ◽  
N. Carboni
Keyword(s):  
Decision Making Process ◽  
Semantic Technologies ◽  
Archaeological Record ◽  
Reconstruction Process ◽  
Virtual Reconstruction ◽  
Starting Point ◽  
Cidoc Crm ◽  
Ontological Model ◽  
Future Work

The outcomes of virtual reconstructions of archaeological monuments are not just images for aesthetic consumption but rather present a scholarly argument and decision making process. They are based on complex chains of reasoning grounded in primary and secondary evidence that enable a historically probable whole to be reconstructed from the partial remains left in the archaeological record. This paper will explore the possibilities for documenting and storing in an information system the phases of the reasoning, decision and procedures that a modeler, with the support of an archaeologist, uses during the virtual reconstruction process and how they can be linked to the reconstruction output. The goal is to present a documentation model such that the foundations of evidence for the reconstructed elements, and the reasoning around them, are made not only explicit and interrogable but also can be updated, extended and reused by other researchers in future work. Using as a case-study the reconstruction of a kitchen in a Roman domus in Grand, we will examine the necessary documentation requirements, and the capacity to express it using semantic technologies. For our study we adopt the CIDOC-CRM ontological model, and its extensions CRMinf, CRMBa and CRMgeo as a starting point for modelling the arguments and relations.

scholarly journals A Novel Application to Image Restoration Based on Regularized SL0 Algorithm in Frequency Domain

1970 ◽  
Vol 7 (2) ◽  
pp. 181-195
Author(s):  
Pham Hong Ha ◽  
Vorapoj Patanavijit
Keyword(s):  
Frequency Domain ◽  
Digital Camera ◽  
Speckle Noise ◽  
Reconstructed Image ◽  
Experimental Result ◽  
Reconstruction Procedure ◽  
Regularization Technique ◽  
Reconstruction Process ◽  
Ill Posed ◽  
Non Gaussian

In these recent years, Compressive Sensing (CS) is becoming an attractive topic in the field of Information Theory. It is widely used in several area including networking, image processing and digital camera. In particular, image reconstruction based on small number of measured components is known as the most useful application. In this paper, SL0 algorithm is specially used for the reconstruction process. It significantly decrease the processing time by utilizing a matrix in which the number of row is much smaller than number of column. Therefore, SL0 is known as one of the fastest and most accurate algorithm in CS. However due to ill-posed condition, if the prior information of the original image is undetermined, the reconstruction procedure of SL0 is much affected by the noise. Unfortunately, the investigation for solving this SL0 ill-posed condition is very limited therefore SL0 is not widely applied in many application. Consequently, this paper proposes a novel regularization technique for SL0 algorithm in the frequency domain. In order to reduce and constraint the space of reconstructed image, the frequency domain Tikhonov regularization technique is employed. It is shown that the quality of the reconstructed image is much better compared to the traditional algorithm under the noisy environment. The experimental result is exclusively simulated for 3 images: Lena, Sussie and Cameraman under both Gaussian and Non-Gaussian noise models (such as AWGN, Poisson noise, Salt & Pepper noise and Speckle noise) at different noise powers.

scholarly journals PROBABILISTIC FEASIBILITY OF THE RECONSTRUCTION PROCESS OF RUSSIAN-ORTHODOX CHURCHES

2016 ◽  
Vol XLI-B5 ◽  
pp. 221-227
Author(s):  
M. Chizhova ◽  
A. Brunn ◽  
U. Stilla
Keyword(s):  
Point Cloud ◽  
A Priori ◽  
Simulated Dataset ◽  
Russian Orthodox ◽  
3D Point Cloud ◽  
Probabilistic Framework ◽  
Reconstruction Process ◽  
Virtual Reconstruction ◽  
Cultural Constructions ◽  
Geometric Primitives

The cultural human heritage is important for the identity of following generations and has to be preserved in a suitable manner. In the course of time a lot of information about former cultural constructions has been lost because some objects were strongly damaged by natural erosion or on account of human work or were even destroyed. It is important to capture still available building parts of former buildings, mostly ruins. This data could be the basis for a virtual reconstruction. Laserscanning offers in principle the possibility to take up extensively surfaces of buildings in its actual status. <br><br> In this paper we assume a priori given 3d-laserscanner data, 3d point cloud for the partly destroyed church. There are many well known algorithms, that describe different methods of extraction and detection of geometric primitives, which are recognized separately in 3d points clouds. In our work we put them in a common probabilistic framework, which guides the complete reconstruction process of complex buildings, in our case russian-orthodox churches. <br><br> Churches are modeled with their functional volumetric components, enriched with a priori known probabilities, which are deduced from a database of russian-orthodox churches. Each set of components represents a complete church. The power of the new method is shown for a simulated dataset of 100 russian-orthodox churches.

scholarly journals RECONSTRUCTION OF URBAN SITES FROM PHOTOS

2019 ◽  
Vol XLII-2/W9 ◽  
pp. 1-8
Author(s):  
F. Agnello
Keyword(s):  
World War Ii ◽  
Laser Scanning ◽  
Motion Tracking ◽  
Focal Length ◽  
Virtual Space ◽  
Urban Site ◽  
Reconstruction Process ◽  
Virtual Reconstruction ◽  
Inverse Projection ◽  
Panoramic Images

<p><strong>Abstract.</strong> This paper reports the results of an experiment that aims at the virtual reconstruction of a urban site that has been partially reshaped during the 20th century; the reconstruction process is based on period photos. The chosen case study is the eldest harbour of Palermo, named ‘Cala’; the site was bombed during World War II and new buildings took the place of the ruined ones. Two period photos, taken from an aircraft, document the buildings that were destroyed by bombs.</p><p> The 3D restitution process used the ‘inverse’ projection from period photos (2D) to the virtual space (3D) ; the first step was therefore addressed to the calculation of the inner parameters (focal length, principal point coordinates) and of the cameras’ pose, i.e. their position and orientation. The data needed for these calculations were extracted from the 3D laser scanning survey of those buildings that appear in photos and that are still on site. The calculation of inner parameters and poses has been computed with a motion tracking commercial package.</p><p> The second part of the paper focuses a process for the fruition of virtual reconstructions, based on the alignment of real panoramic images, generated by photos taken on site, and of virtual panoramic images, extracted from the 3D reconstruction model; the proposed method uses SfM photogrammetric tools.</p>

IMAGE BASED 3D FACE RECONSTRUCTION: A SURVEY

2009 ◽  
Vol 09 (02) ◽  
pp. 217-250 ◽  
Author(s):  
GEORGIOS STYLIANOU ◽  
ANDREAS LANITIS
Keyword(s):  
3D Reconstruction ◽  
Feature Detection ◽  
Low Cost ◽  
Reconstruction Algorithms ◽  
3D Face Reconstruction ◽  
Reconstruction Process ◽  
3D Face ◽  
Advantages And Disadvantages ◽  
Face Reconstruction ◽  
Reconstruction Methods

The use of 3D data in face image processing applications has received considerable attention during the last few years. A major issue for the implementation of 3D face processing systems is the accurate and real time acquisition of 3D faces using low cost equipment. In this paper we provide a survey of 3D reconstruction methods used for generating the 3D appearance of a face using either a single or multiple 2D images captured with ordinary equipment such as digital cameras and camcorders. In this context we discuss various issues pertaining to the general problem of 3D face reconstruction such as the existence of suitable 3D face databases, correspondence of 3D faces, feature detection, deformable 3D models and typical assumptions used during the reconstruction process. Different approaches to the problem of 3D reconstruction are presented and for each category the most important advantages and disadvantages are outlined. In particular we describe example-based methods, stereo methods, video-based methods and silhouette-based methods. The issue of performance evaluation of 3D face reconstruction algorithms, the state of the art and future trends are also discussed.

Scanning x-ray fluorescence microscopy and principal component analysis

1992 ◽  
Vol 50 (2) ◽  
pp. 1752-1753
Author(s):  
Brian Cross
Keyword(s):  
Principal Component Analysis ◽  
Fluorescence Microscopy ◽  
Spatial Resolution ◽  
High Speed ◽  
Image Acquisition ◽  
Principal Component ◽  
Fluorescence Microscope ◽  
Acquisition Rate ◽  
X Ray ◽  
Speed Up

A relatively new entry, in the field of microscopy, is the Scanning X-Ray Fluorescence Microscope (SXRFM). Using this type of instrument (e.g. Kevex Omicron X-ray Microprobe), one can obtain multiple elemental x-ray images, from the analysis of materials which show heterogeneity. The SXRFM obtains images by collimating an x-ray beam (e.g. 100 μm diameter), and then scanning the sample with a high-speed x-y stage. To speed up the image acquisition, data is acquired "on-the-fly" by slew-scanning the stage along the x-axis, like a TV or SEM scan. To reduce the overhead from "fly-back," the images can be acquired by bi-directional scanning of the x-axis. This results in very little overhead with the re-positioning of the sample stage. The image acquisition rate is dominated by the x-ray acquisition rate. Therefore, the total x-ray image acquisition rate, using the SXRFM, is very comparable to an SEM. Although the x-ray spatial resolution of the SXRFM is worse than an SEM (say 100 vs. 2 μm), there are several other advantages.

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