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End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volume

End-to-End Multi-View Structure-from-Motion with Hypercorrel...

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Power Electronics, Computer Applications (ICPECA), IEEE International conference on

作者： Qiao Chen Charalambos Poullis Department of Computer Science and Software Engineering Immersive and Creative Technologies Lab Concordia University Montreal Quebec CA USA

Image-based 3d reconstruction is one of the most important tasks in Computer Vision with many solutions proposed over the last few decades. The objective is to extract metric information i.e. the geometry of scene objects directly from images. These can then be used in a wide range of applications such as film, games, virtual reality, etc. Recently, deep learning techniques have been proposed to tackle this problem. They rely on training on vast amounts of data to learn to associate features between images through deep convolutional neural networks and have been shown to outperform traditional procedural techniques. In this paper, we improve on the state-of-the-art two-view structure-from-motion(SfM) approach of [11] by incorporating 4d correlation volume for more accurate feature matching and reconstruction. Furthermore, we extend it to the general multi- view case and evaluate it on the complex benchmark dataset dTU [5]. Quantitative evaluations and comparisons with state-of-the-art multi-view 3d reconstruction methods demonstrate its superiority in terms of the accuracy of reconstructions.

关键词： deep learning Training Measurement Three-dimensional displays virtual reality Benchmark testing Power electronics

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Proceedings of the 37th International conference on Neural Information Processing Systems

作者： Zechuan Zhang Li Sun Zongxin Yang Ling Chen Yi Yang ReLER CCAI Zhejiang University AAII University of Technology Sydney

Reconstructing 3d clothed avatars from single images is a challenging task, especially when encountering complex poses and loose clothing. Current methods exhibit limitations in performance, largely attributable to their dependence on insufficient 2d image features and inconsistent query methods. Owing to this, we present Global-correlated 3d-decoupling Transformer for clothed Avatar reconstruction (GTA), a novel transformer-based architecture that reconstructs clothed human avatars from monocular images. Our approach leverages transformer architectures by utilizing a Vision Transformer model as an encoder for capturing global-correlated image features. Subsequently, our innovative 3d-decoupling decoder employs cross-attention to decouple tri-plane features, using learnable embeddings as queries for cross-plane generation. To effectively enhance feature fusion with the tri-plane 3d feature and human body prior, we propose a hybrid prior fusion strategy combining spatial and prior-enhanced queries, leveraging the benefits of spatial localization and human body prior knowledge. Comprehensive experiments on CAPE and THuman2.0 datasets illustrate that our method outperforms state-of-the-art approaches in both geometry and texture reconstruction, exhibiting high robustness to challenging poses and loose clothing, and producing higher-resolution textures. Codes are available at https://***/River-Zhang/GTA.

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Proceedings - SIGGRAPH Asia 2022 conference Papers

Proceedings - SIGGRAPH Asia 2022 Conference Papers

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SIGGRAPH Asia 2022 - Computer Graphics and Interactive Techniques conference - Asia, SA 2022

ISBN: (纸本)9781450394703

The proceedings contain 53 papers. The topics discussed include: Morig: motion-aware rigging of character meshes from point clouds;real-time human motion reconstruction from sparse IMUs with simultaneous terrain generation;compressing geodesic information for fast point-to-point geodesic distance queries;learning-based inverse rendering of complex indoor scenes with differentiable Monte Carlo raytracing;differentiable point-based radiance fields for efficient view synthesis;fast dynamic radiance fields with time-aware neural voxels;lightweight neural basis functions for all-frequency shading;Animatomy: an animator-centric, anatomically inspired system for 3d facial modeling, animation and transfer;masked lip-sync prediction by audio-visual contextual exploitation in transformers;impact of correct and simulated focus cues on perceived realism;and gloss management for consistent reproduction of real and virtual objects.

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development and Application of virtual Assembly Training System of Mine drilling Rig Based on Unity3d 23

Development and Application of Virtual Assembly Training Sys...

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Proceedings of the 2023 5th International conference on Internet of Things, Automation and Artificial Intelligence

作者： Guoping Chen Guo Chen Haiwu Ma Guiqin Liu Shijie Song Inner Mongolia Alashan League Tianrong Coal Co. China CCTEG Xi?an Research Institute(Group) Co. Ltd China

ISBN: (纸本)9798400716485

The work aims to improving the current situation that the content and mode of assembly training for coal mine drilling rigs in mechanical workshops are low level of visualization, which leading to low training quality. Combined with the modeling advantages of UG and 3dS Max animation software, the 3d model reconstruction and texture mapping processing methods were discussed, and the model structure tree was built. Assembly system was achieved by c # language to write the core of the script, to study the related assembly animation path control, and design the system UI interface. Based on Unity3d virtual engine platform, a set of system for coal mine drilling rigs is developed and implemented from the perspective of the first person. The HTC VIVE Pro external headset is used to dock the system for debugging, operation and final release, and man-machine interaction operation could be realized. The research results not only show the complete assembly process of the mechanical assembly workshop, but also give the trainees novel and vivid teaching experience through friendly man-machine interaction, and preliminary exploration of virtual reality technology in coal mine drilling rig intelligent direction interact with remote control. At the same time, it also provides a new method reference for the market promotion and application of coal mine drilling rig.

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Geological Model reconstruction of Horizontal Well Based on High-precision 3d Seismic and Its Application Effect 12th

Geological Model Reconstruction of Horizontal Well Based on ...

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12th International Field Exploration and development conference, IFEdC 2022

作者： Zhang, Feng Jia, Xue-Cheng Tong, Jiang-Nan Jiang, Hong-Yu Zhang, Xiao-Ming Sun, Pei Bureau of Geophysical Prospecting INC China National Petroleum Corporation Zhuozhou China PetroChina Coalbed Methane Company Limited Beijing China

ISBN: (纸本)9789819919635

The distribution of tight sandstone gas reservoir in daji block of Ordos Basin is complex. It is difficult to optimize the target point of horizontal well, design the trajectory and even select the layer after drilling. It is very easy to deviate from the target layer of sandstone and the drilling encounter rate of sandstone is low, resulting in low production. How to obtain high production under the given horizontal well trajectory is a key factor restricting the productivity construction in this area. Based on the high-precision three-dimensional seismic and post drilling logging data, this paper constructs a virtual well, implements the low amplitude structural form and reconstructs the structural model through the seismic structural trend, logging cuttings while drilling, and the depth of target layer, marker layer jacking out and bottom out;The phase controlled waveform indication inversion technology of logging seismic interference removal is used to predict the single sand body of the target layer for reservoir model reconstruction. At the same time, the spatial distribution of the reservoir is implemented in combination with the results of regional drilling data, so as to realize the fine description and correction of the model. Based on the geological model reconstructed after drilling, the perforation and fracturing scheme of post drilling horizontal well is optimized. When the horizontal well trajectory actually encounters sandstone, the reservoir not encountered in the actual trajectory is communicated through fracturing as far as possible, so as to improve the control degree of the horizontal section on the reservoir and increase the production of unconventional tight gas wells. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Horizontal wells

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The Vault with Intertwined Arches in Castle of Racconigi: 3d digital reconstruction 8th

The Vault with Intertwined Arches in Castle of Racconigi: 3D...

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8th European-Mediterranean conference, EuroMed 2020

作者： Natta, Fabrizio Department of Architecture and Design Politecnico di Torino Viale Mattioli 39 Turin Italy

ISBN: (纸本)9783030730420

The complex approach of Guarini to each discipline (Geometry, Architecture, Philosophy, Astronomy) finds important development in his method of implementing vaulted systems. The importance of this architectural element, which Guarini reminds as "the main part of the buildings", is reflected in the new taste of the civil architecture of the period. The design by Guarini for the vault in the Hall of Honor in Racconigi Castle is documented in a single drawing representing the hall’s cross-section. Guarini devotes particular attention to the drawing, both from the geometric and the representative point of view. Based on this drawing we want to propose, through the most recent digital modeling and visualization methods, a three-dimensional reconstruction of this unrealized work. The analysis method involves an in-depth examination of: Guarini’s theory and his systematic approach to vaulted structures, linking Architecture and Geometry, the problems of design the artifacts, the comparison with similar shapes designed by the architect. Through a method of representation based on geometrical principles, the aim of this paper is to give evidence – and a three-dimensional visualization – of a case study documented by an archival source, already analyzed by historians. © 2021, Springer Nature Switzerland AG.

关键词： Geometry

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Processing and Visualizing the 3d Models in digital Heritage 13th

Processing and Visualizing the 3D Models in Digital Heritage

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13th International conference on Computational Collective Intelligence (ICCCI)

作者： Tran, Minh Khai Nguyen, Sinh Van To, Nghia Tuan Maleszka, Marcin Vietnam Natl Univ Int Univ Sch Comp Sci & Engn Ho Chi Minh City Vietnam Wroclaw Univ Sci & Technol Dept Appl Informat Wroclaw Poland

ISBN: (纸本)9783030880811;9783030880804

In recent years, the information technology has been greatly developed and widely applied to many fields. Its application can be used in product design, education and training, military, aerospace and entertainment fields. Currently, virtual Reality (VR) and Augmented Reality (AR) are research trends, that can be used in the fields of simulation, game industry, medical training, virtual tourism or digital heritages, etc. In this research project, we combine several techniques in computer graphics, geometric modeling and image processing to build an application of both VR-based and AR-based. Our final product of this research is an application of virtual museum simulation. The research work includes exploring techniques for VR and AR software development as well as creating a sample product based on the studied framework. Specifically, we construct a virtual museum that allows user to visualize and interact with the statues in the museum. Using the Unity 3d is considered as a powerful tool to build VR-applications. We also enhance it with AR processing capabilities with android studio. The application provides an interesting simulation of the Museum of Cham Sculpture (in danang, Vietnam). It is also compared with other existing applications.

关键词： 3d objects reconstruction 3d objects visualization digital heritage virtual reality (VR) Augmented reality (AR)

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Vis2Mesh: Efficient Mesh reconstruction from Unstructured Point Clouds of Large Scenes with Learned virtual View Visibility 18

Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Po...

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18th IEEE/CVF International conference on Computer Vision (ICCV)

作者： Song, Shuang Cui, Zhaopeng Qin, Rongjun Ohio State Univ Columbus OH 43210 USA Zhejiang Univ Hangzhou Zhejiang Peoples R China Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9781665428125

We present a novel framework for mesh reconstruction from unstructured point clouds by taking advantage of the learned visibility of the 3d points in the virtual views and traditional graph-cut based mesh generation. Specifically, we first propose a three-step network that explicitly employs depth completion for visibility prediction. Then the visibility information of multiple views is aggregated to generate a 3d mesh model by solving an optimization problem considering visibility in which a novel adaptive visibility weighting in surface determination is also introduced to suppress line of sight with a large incident angle. Compared to other learning-based approaches, our pipeline only exercises the learning on a 2d binary classification task, i.e., points visible or not in a view, which is much more generalizable and practically more efficient and capable to deal with a large number of points. Experiments demonstrate that our method with favorable transferability and robustness, and achieve competing performances w.r.t. state-of-the-art learning-based approaches on small complex objects and outperforms on large indoor and outdoor scenes.

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Modification of Sulcal Geometry reconstruction Results Based on Spherical Harmonics Coefficients 16

Modification of Sulcal Geometry Reconstruction Results Based...

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16th ICME International conference on complex Medical Engineering, CME 2022

作者： Chen, Hao Kang, Yongzhen Xv, dongqi Northeastern University Department of Electrical and Computer Engineering BostonMA United States

ISBN: (纸本)9781665496995

This paper describes a modeling approach for 3d brain reconstruction that may be useful for controlled studies of these approximate effects. The general approach is to model the brain surface with spherical harmonic expansion and then modify the expansion coefficient to selectively and smoothly control the groove width. This paper first describes and evaluates a method for experimentally selecting two sets of spherical harmonic coefficients in a specified range that can simultaneously affect selected gyro samples. For the coefficients in the first set, the widths of all gyroscopes in the sample are increased by enlarging the corresponding coefficients for each spherical harmonic, but for each coefficient in the second set, this adjustment results in a simultaneous decrease in the width of the sampling gyroscope. The experimental results show that most of the sulcus and gyrus widths are simultaneously adjusted according to the desired effect. At the same time, this paper attempts to construct a volumetric mesh starting from a modified spherical harmonic surface, which proved to be particularly challenging since most surface models in our study have self-intersection points. We used a well-known mesh processing package (ISO2Mesh) to successfully remove all self-intersects from the surface, but this process seems to create small holes on the model surface. despite these holes, with a few exceptions, the width of most of the grooves (gaps) still increases (decreases) simultaneously with the adjustment of the coefficients. This result provides a direction for further research on the influence of controlling partial volume problem on tCS modeling. © 2022 IEEE.

关键词： Gyroscopes

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View Synthesis of Endoscope Images by Monocular depth Prediction and Gaussian Splatting

View Synthesis of Endoscope Images by Monocular Depth Predic...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Takeshi Masuda Ryusuke Sagawa Ryo Furukawa Hiroshi Kawasaki AIRC National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan Faculty of Engineering Kindai University Hiroshima Japan ISEE Kyushu University Fukuoka Fukuoka Japan

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

We present a novel method for synthesising new views of endoscopic images, utilising an innovative 3d shape representation technique known as Gaussian splatting. Structure from Motion (SfM) has traditionally been employed for this purpose to recover 3d shapes of feature points and poses from video sequences, but has only been effective in limited situations due to the featureless, shiny and deformable organ internal surfaces of endoscopic *** address this challenge, we propose a hybrid method that combines a single depth map estimation using deep neural networks (dNNs) with a Gaussian splatting approach. Our method incorporates 4d Gaussian splatting, optimising the shape and colour Gaussians of the point cloud to align with the input image and synthesising new views by considering deformations. Experiments demonstrate that the proposed method produces less degraded results compared to Gaussian splatting using SfM, a conventional method, using real endoscopic images, and is useful in cases where a conventional method, e.g. SfM, cannot be used.

关键词： visualization Three-dimensional displays Structure from motion Shape Endoscopes Stereo image processing Video sequences virtual reality Cameras Image reconstruction

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