Graphical Models最新文献_第6页

Two-step techniques for accurate selection of small elements in VR environments 在VR环境中精确选择小元素的两步技术

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-07-01 DOI: 10.1016/j.gmod.2023.101183

Elena Molina, Pere-Pau Vázquez

引用次数: 0

Efficient collision detection using hybrid medial axis transform and BVH for rigid body simulation 基于混合中轴变换和BVH的刚体仿真高效碰撞检测

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-07-01 DOI: 10.1016/j.gmod.2023.101180

Xingxin Li, Shibo Song, Junfeng Yao, Hanyin Zhang, Rongzhou Zhou, Qingqi Hong

引用次数: 0

A robust workflow for b-rep generation from image masks 从图像蒙版生成b-rep的健壮工作流

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-07-01 DOI: 10.1016/j.gmod.2023.101174

Omar M. Hafez, Mark M. Rashid

引用次数: 1

SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes SPIDER:用于处理、编辑和呈现沉浸式高分辨率球形室内场景的框架

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-07-01 DOI: 10.1016/j.gmod.2023.101182

M. Tukur , G. Pintore , E. Gobbetti , J. Schneider , M. Agus

{"title":"SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes","authors":"M. Tukur , G. Pintore , E. Gobbetti , J. Schneider , M. Agus","doi":"10.1016/j.gmod.2023.101182","DOIUrl":"https://doi.org/10.1016/j.gmod.2023.101182","url":null,"abstract":"<div><p>Today’s Extended Reality (XR) applications that call for specific Diminished Reality (DR) strategies to hide specific classes of objects are increasingly using 360° cameras, which can capture entire areas in a single picture. In this work, we present an interactive-based image processing, editing and rendering system named <strong>SPIDER</strong>, that takes a spherical 360° indoor scene as input. The system is composed of a novel integrated deep learning architecture for extracting geometric and semantic information of full and empty rooms, based on gated and dilated convolutions, followed by a super-resolution module for improving the resolution of the color and depth signals. The obtained high resolution representations allow users to perform interactive exploration and basic editing operations on the reconstructed indoor scene, namely: (i) rendering of the scene in various modalities (point cloud, polygonal, wireframe) (ii) refurnishing (transferring portions of rooms) (iii) deferred shading through the usage of precomputed normal maps. These kinds of scene editing and manipulations can be used for assessing the inference from deep learning models and enable several Mixed Reality applications in areas such as furniture retails, interior designs, and real estates. Moreover, it can also be useful in data augmentation, arts, designs, and paintings. We report on the performance improvement of the various processing components on public domain spherical image indoor datasets.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"128 ","pages":"Article 101182"},"PeriodicalIF":1.7,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49875412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

HMDO : Markerless multi-view hand manipulation capture with deformable objects 具有可变形对象的无标记多视图手操作捕获

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-05-01 DOI: 10.1016/j.gmod.2023.101178

Wei Xie, Zhipeng Yu, Zimeng Zhao, Binghui Zuo, Yangang Wang

{"title":"HMDO : Markerless multi-view hand manipulation capture with deformable objects","authors":"Wei Xie, Zhipeng Yu, Zimeng Zhao, Binghui Zuo, Yangang Wang","doi":"10.1016/j.gmod.2023.101178","DOIUrl":"https://doi.org/10.1016/j.gmod.2023.101178","url":null,"abstract":"<div><p>We construct the first markerless deformable interaction dataset recording interactive motions of the hands and deformable objects, called HMDO (Hand Manipulation with Deformable Objects). With our built multi-view capture system, it captures the deformable interactions with multiple perspectives, various object shapes, and diverse interactive forms. Our motivation is the current lack of hand and deformable object interaction datasets, as 3D hand and deformable object reconstruction is challenging. Mainly due to mutual occlusion, the interaction area is difficult to observe, the visual features between the hand and the object are entangled, and the reconstruction of the interaction area deformation is difficult. To tackle this challenge, we propose a method to annotate our captured data. Our key idea is to collaborate with estimated hand features to guide the object global pose estimation, and then optimize the deformation process of the object by analyzing the relationship between the hand and the object. Through comprehensive evaluation, the proposed method can reconstruct interactive motions of hands and deformable objects with high quality. HMDO currently consists of 21600 frames over 12 sequences. In the future, this dataset could boost the research of learning-based reconstruction of deformable interaction scenes.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"127 ","pages":"Article 101178"},"PeriodicalIF":1.7,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49701216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated generation of floorplans with non-rectangular rooms 自动生成非矩形房间的平面图

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-05-01 DOI: 10.1016/j.gmod.2023.101175

Krishnendra Shekhawat, Rohit Lohani, Chirag Dasannacharya, Sumit Bisht, Sujay Rastogi

引用次数: 2

Camera distance helps 3D hand pose estimated from a single RGB image 相机距离有助于从单个RGB图像估计3D手姿势

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-05-01 DOI: 10.1016/j.gmod.2023.101179

Yuan Cui , Moran Li , Yuan Gao , Changxin Gao , Fan Wu , Hao Wen , Jiwei Li , Nong Sang

{"title":"Camera distance helps 3D hand pose estimated from a single RGB image","authors":"Yuan Cui , Moran Li , Yuan Gao , Changxin Gao , Fan Wu , Hao Wen , Jiwei Li , Nong Sang","doi":"10.1016/j.gmod.2023.101179","DOIUrl":"https://doi.org/10.1016/j.gmod.2023.101179","url":null,"abstract":"<div><p>Most existing methods for RGB hand pose estimation use root-relative 3D coordinates for supervision. However, such supervision neglects the distance between the camera and the object (i.e., the hand). The camera distance is especially important under a perspective camera, which controls the depth-dependent scaling of the perspective projection. As a result, the same hand pose, with different camera distances can be projected into different 2D shapes by the same perspective camera. Neglecting such important information results in ambiguities in recovering 3D poses from 2D images. In this article, we propose a camera projection learning module (CPLM) that uses the scale factor contained in the camera distance to associate 3D hand pose with 2D UV coordinates, which facilities to further optimize the accuracy of the estimated hand joints. Specifically, following the previous work, we use a two-stage RGB-to-2D and 2D-to-3D method to estimate 3D hand pose and embed a graph convolutional network in the second stage to leverage the information contained in the complex non-Euclidean structure of 2D hand joints. Experimental results demonstrate that our proposed method surpasses state-of-the-art methods on the benchmark dataset RHD and obtains competitive results on the STB and D+O datasets.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"127 ","pages":"Article 101179"},"PeriodicalIF":1.7,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49702994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-fidelity point cloud completion with low-resolution recovery and noise-aware upsampling 具有低分辨率恢复和噪声感知上采样的高保真点云完成

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-04-01 DOI: 10.1016/j.gmod.2023.101173

Ren-Wu Li , Bo Wang , Lin Gao , Ling-Xiao Zhang , Chun-Peng Li

{"title":"High-fidelity point cloud completion with low-resolution recovery and noise-aware upsampling","authors":"Ren-Wu Li , Bo Wang , Lin Gao , Ling-Xiao Zhang , Chun-Peng Li","doi":"10.1016/j.gmod.2023.101173","DOIUrl":"https://doi.org/10.1016/j.gmod.2023.101173","url":null,"abstract":"<div><p>Completing an unordered partial point cloud is a challenging task. Existing approaches that rely on decoding a latent feature to recover the complete shape, often lead to the completed point cloud being over-smoothing, losing details, and noisy. Instead of decoding a whole shape, we propose to decode and refine a low-resolution (low-res) point cloud first, and then perform a patch-wise noise-aware upsampling rather than interpolating the whole sparse point cloud at once, which tends to lose details. Regarding the possibility of lacking details of the initially decoded low-res point cloud, we propose an iterative refinement to recover the geometric details and a symmetrization process to preserve the trustworthy information from the input partial point cloud. After obtaining a sparse and complete point cloud, we propose a patch-wise upsampling strategy. Patch-based upsampling allows to recover fine details better rather than decoding a whole shape. The patch extraction approach is to generate training patch pairs between the sparse and ground-truth point clouds with an outlier removal step to suppress the noisy points from the sparse point cloud. Together with the low-res recovery, our whole pipeline can achieve high-fidelity point cloud completion. Comprehensive evaluations are provided to demonstrate the effectiveness of the proposed method and its components.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"126 ","pages":"Article 101173"},"PeriodicalIF":1.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Procedural generation of semantically plausible small-scale towns 语义上合理的小规模城镇的程序生成

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-04-01 DOI: 10.1016/j.gmod.2023.101170

Abdullah Bulbul

引用次数: 0

Learning-based 3D imaging from single structured-light image 基于学习的单结构光图像三维成像

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-04-01 DOI: 10.1016/j.gmod.2023.101171

Andrew-Hieu Nguyen , Olivia Rees , Zhaoyang Wang

引用次数: 5