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检索条件"任意字段=International Symposium on 3D Data Processing Visualization and Transmission"

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From coarse to fine correspondence of 3-d facial images and its application to 3-d facial caricaturing

From coarse to fine correspondence of 3-D facial images and ...

引用

international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： T. Kondo K. Murakami H. Koshimizu School of Computer and Cognitive Sciences Chukyo University Toyota Japan

We propose a method to generate a facial caricature depending on a simple method for corresponding 3-d facial images. In this method, we extract several facial parts regions each of which include facial parts of the face by using both gray and range images. The diagonal corners of the respective extracted regions are used to provide the informations on the correspondence between the faces. Therefore, by using this method, it is expectable to reduce the number of the feature points for the correspondence from more than several hundreds to ten or so. At the same time, this method makes it possible to extract boundaries of facial parts. In order to examine the feasibility of this method, we employ a usual corresponding method of the triangular patch as the reference. We generated the 3-d mean face and 3-d facial caricature to demonstrate experimentally the feasibility of the proposed method. It was clarified that the number of the correspondence points can be reduced to only 10% of the usual method.

关键词： Feature extraction Application software Nose Robustness Shape Radio access networks data mining Mouth Head Image processing

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Graph-Based Volumetric data Segmentation on a Hexagonal-Prismatic Lattice

Graph-Based Volumetric Data Segmentation on a Hexagonal-Pris...

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international symposium on Multimedia Applications and processing

作者： Mihai Popescu Razvan Tudor Tanasie Department of Software Engineering Faculty of Automatics Computers and Electronics University of Craiova Romania

ISBN: (纸本)9781467307086

In this paper we present a graph-based volumetric data segmentation method based on a 3d hexagonal prismatic lattice. We evaluate the advantages and disadvantages of using this lattice in contrast with classic ones. One of the main advantages are high isoperimetric quotient, near equidistant neighbours (ability to represent curves better, resulting in a better segmentation) and high connectivity. disadvantages are due to the main stream lack of interest in this area and thus data sets must be converted back and forth from rectangular to hexagonal latices both in acquisition and visualization processes.

关键词： volumetric segmentation hexagonal lattice

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Synthesizing Physically Plausible Human Motions in 3d Scenes

Synthesizing Physically Plausible Human Motions in 3D Scenes

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Liang Pan Jingbo Wang Buzhen Huang Junyu Zhang Haofan Wang Xu Tang Yangang Wang Southeast University Shanghai AI Laboratory Xiaohongshu Inc.

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

We present a physics-based character control framework for synthesizing human-scene interactions. Recent advances adopt physics simulation to mitigate artifacts produced by data-driven kinematic approaches. However, existing physics-based methods mainly focus on single-object environments, resulting in limited applicability in realistic 3d scenes with multi-objects. To address such challenges, we propose a framework that enables physically simulated characters to perform long-term interaction tasks in diverse, cluttered, and unseen 3d scenes. The key idea is to decouple human-scene interactions into two fundamental processes, Interacting and Navigating, which motivates us to construct two reusable Controllers, namely InterCon and NavCon. Specifically, InterCon uses two complementary policies to enable characters to enter or leave the interacting state with a particular object (e.g., sitting on a chair or getting up). To realize navigation in cluttered environments, we introduce NavCon, where a trajectory following policy enables characters to track pre-planned collision-free paths. Benefiting from the divide and conquer strategy, we can train all policies in simple environments and directly apply them in complex multi-object scenes through coordination from a rule-based scheduler. Video and code are available at https://***/InterScene/.

关键词： Training Three-dimensional displays Codes Navigation Tracking Process control Kinematics

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Automatic feature correspondence for scene reconstruction

Automatic feature correspondence for scene reconstruction

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： P.W. Smith M.d. Elstrom Department of Electrical Engineering University of Tennessee Knoxville TN USA

To construct complete three-dimensional representations from multiple range images or to employ color images as texture maps for surface models, the relative positions of the sensors used to capture the data must be known. Most data-driven methods for pose estimation require either an accurate initial estimation of the relative orientation be specified or a corresponding set of features be extracted from images. The autonomous identification of corresponding feature positions thus represents the major difficulty in creating completely automated registration and reconstruction systems that place no restrictions on relative sensor positions. In this paper, an automated feature correspondence technique, specifically designed for the task of multi-modal view registration is presented which requires no initial pose estimates or geometric matching constraints. Both photo-realistic and 3-d scene models are presented that were constructed autonomously by systems employing the described matching algorithm.

关键词： Layout Image sensors Solid modeling Image reconstruction Sensor systems Cameras Infrared heating Color Surface reconstruction Surface texture

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Multi-View Edge-based Stereo by Incorporating Spatial Coherence

Multi-View Edge-based Stereo by Incorporating Spatial Cohere...

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Gang Li Yakup Genc Steven W. Zucker Siemens Corporate Research Princeton NJ USA Yale University New Haven CT USA

A limitation of the state-of-art multi-view reconstruction algorithms is in their ability to handle scenes with very little texture or a lot of clutter. Texture-less scenes with clutter are traditionally difficult for dense multi-view stereo methods. Feature-based stereo algorithms, in particular, edge- based methods, are better suited for these scenes. The success of the edge-based reconstruction heavily depends on the amount of the prior information used. This paper introduces an algorithm that extends the well-known plane- sweep algorithm by incorporating spatial coherence of the scene. The method utilizes the geometric consistency derived from the continuity of three-dimensional edge points as a geometric constraint in addition to previously known multi-view image constraints. Experimental results on synthetic as well as real data are provided to demonstrate the efficacy and robustness of the proposed method.

关键词： Spatial coherence Layout Stereo vision Image reconstruction Surface reconstruction Stereo image processing Geometry Computer science Computed tomography Educational institutions

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Lang3dSG: Language-based contrastive pre-training for 3d Scene Graph prediction

Lang3DSG: Language-based contrastive pre-training for 3D Sce...

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Sebastian Koch Pedro Hermosilla Narunas Vaskevicius Mirco Colosi Timo Ropinski Bosch Center for Artificial Intelligence Robert Bosch Corporate Research University of Ulm TU Vienna

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

3d scene graphs are an emerging 3d scene representation, that models both the objects present in the scene as well as their relationships. However, learning 3d scene graphs is a challenging task because it requires not only object labels but also relationship annotations, which are very scarce in datasets. While it is widely accepted that pre-training is an effective approach to improve model performance in low data regimes, in this paper, we find that existing pre-training methods are ill-suited for 3d scene graphs. To solve this issue, we present the first language-based pre-training approach for 3d scene graphs, whereby we exploit the strong relationship between scene graphs and language. To this end, we leverage the language encoder of CLIP, a popular vision-language model, to distill its knowledge into our graph-based network. We formulate a contrastive pre-training, which aligns text embeddings of relationships (subject-predicate-object triplets) and predicted 3d graph features. Our method achieves state-of-the-art results on the main semantic 3d scene graph benchmark by showing improved effectiveness over pre-training baselines and outperforming all the existing fully supervised scene graph prediction methods by a significant margin. Furthermore, since our scene graph features are language-aligned, it allows us to query the language space of the features in a zero-shot manner. In this paper, we show an example of utilizing this property of the features to predict the room type of a scene without further training.

关键词： Training Point cloud compression Knowledge engineering Solid modeling Three-dimensional displays Semantics Natural languages

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TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking

TwinFusion: High Framerate Non-rigid Fusion through Fast Cor...

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Kaiwen Guo Jonathan Taylor Sean Fanello Andrea Tagliasacchi Mingsong dou Philip davidson Adarsh Kowdle Shahram Izadi Google Inc.

Real time non-rigid reconstruction pipelines are extremely computationally expensive and easily saturate the highest end GPUs currently available. This requires careful strategic choices to be made about a set of highly interconnected parameters that divide up the limited compute. At the same time, offline systems, prove the value of increasing voxel resolution, more iterations, and higher frame rates. To this end, we demonstrate a set of remarkably simple but effective modifications to these algorithms that significantly reduce the average per-frame computation cost allowing these parameters to be increased. Specifically, we divide the depth stream into sub-frames and fusion-frames, disabling both model accumulation (fusion) and non-rigid alignment (model tracking) on the former. Instead, we efficiently track point correspondences across neighboring sub-frames. We then leverage these correspondences to initialize the standard non-rigid alignment to a fusion-frame where data can then be accumulated into the model. As a result, compute resources in the modified non-rigid reconstruction pipeline can be immediately re-purposed to increase voxel resolution, use more iterations or to increase the frame rate. To demonstrate the latter, we leverage recent high frame rate depth algorithms to build a novel “twin” sensor consisting of a low-res/highfps sub-frame camera and a second low-fps/high-res fusion camera.

关键词： Cameras Tracking Image reconstruction Computational modeling deformable models data models Strain

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Image-gradient-guided real-time stereo on graphics hardware

Image-gradient-guided real-time stereo on graphics hardware

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Minglun Gong Ruigang Yang Department of Math & Computer Science Laurentian University Greater Sudbury ONT Canada Department of Computing Science University of Kentucky Lexington KY USA

ISBN: (纸本)0769523277

We present a real-time correlation-based stereo algorithm with improved accuracy. Encouraged by the success of recent stereo algorithms that aggregate the matching cost based on color segmentation, a novel image-gradient-guided cost aggregation scheme is presented in this paper. The new scheme is designed to fit the architecture of recent graphics processing units (GPUs). As a result, our stereo algorithm can run completely on the graphics board: from rectification, matching cost computation, cost aggregation, to the final disparity selection. Compared with many real-time stereo algorithms that use fixed windows, noticeable accuracy improvement has been obtained without sacrificing realtime performance. In addition, existing global optimization algorithms can also benefit from the new cost aggregation scheme. The effectiveness of our approach is demonstrated with several widely used stereo datasets and live data captured from a stereo camera.

关键词： Hardware Stereo vision Cost function Aggregates Computer graphics Image segmentation Computational efficiency Cameras Computer vision Central processing Unit

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Streaming Media Transport Protocols On Basis Of Next Generation Internet

Streaming Media Transport Protocols On Basis Of Next Generat...

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IEEE international symposium on Signal processing and Information Technology (ISSPIT)

作者： Melika Bolic Zlatan Begic Elmir Secerbegovic Directorate Tuzla/Department for packet switched network BH Telecom d.d. Sarajevo Tuzla Bosnia and Herzegovina Source Code d.o.o. Tuzla Bosnia and Herzegovina

Internet's rapid growth promoted the evolutoin of network based applications. Since a particular network application has its special requirements for network topology, many different protocols have been introduced over the last couple of years. Most of these protocols overlap and are redundant in function, which results in bad overall performance of the application and the network. This paper presents an IPv6 QoS-based simple streaming transport protocol (SSTP), which enables the next generation networks to perform better and takes into account the feature of multimedia stream transmission. The protocol has been implemented and deployed in various multimedia based implementations. This paper will not only introduce the background and design thinking behind SSTP, but also describe the SSTP in detail. At last, the paper compares the performance of SSTP and RTP/RTCP, and gives the considerations about improvement of SSTP.

关键词： Streaming media Transport protocols Internet Geographic Information Systems data visualization Control systems Telecommunication control Companies Intelligent systems Marketing and sales

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depthwise Separable Temporal Convolutional Network for Action Segmentation

Depthwise Separable Temporal Convolutional Network for Actio...

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Basavaraj Hampiholi Christian Jarvers Wolfgang Mader Heiko Neumann BMW Car IT GmbH Ulm Germany Institute of Neural Information Processing Ulm University Ulm Germany

ISBN: (数字)9781728181288

ISBN: (纸本)9781728181295

Fine-grained temporal action segmentation in long, untrimmed RGB videos is a key topic in visual human-machine interaction. Recent temporal convolution based approaches either use encoder-decoder(Ed) architecture or dilations with doubling factor in consecutive convolution layers to segment actions in videos. However Ed networks operate on low temporal resolution and the dilations in successive layers cause gridding artifacts problem. We propose depthwise separable temporal convolution network (dS-TCN) that operates on full temporal resolution and with reduced gridding effects. The basic component of dS-TCN is residual depthwise dilated block (RddB). We explore the trade-off between large kernels and small dilation rates using RddB. We show that our dS-TCN is capable of capturing long-term dependencies as well as local temporal cues efficiently. Our evaluation on three benchmark datasets, GTEA, 50Salads, and Breakfast demonstrates that dS-TCN outperforms the existing Ed-TCN and dilation based TCN baselines even with comparatively fewer parameters.

关键词： Convolution Kernel Videos Feature extraction Computer architecture Task analysis data models

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