Proceedings of the 30th Spring Conference on Computer Graphics最新文献

Fast and Furious: How the web got turbo charged just in time… 速度与激情:网络是如何及时加速的……

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2022-03-17 DOI: 10.1145/2643188.3527459

引用次数: 0

Fast and Furious: How the web got turbo charged just in time? 速度与激情:网络是如何及时加速的?

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2022-03-17 DOI: 10.1145/2643188.3527460

M. Franz

引用次数: 0

Cheap rendering vs. costly annotation: rendered omnidirectional dataset of vehicles 便宜的渲染vs.昂贵的注释:渲染的车辆全方位数据集

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2643191

Peter Slosár, Roman Juránek, A. Herout

{"title":"Cheap rendering vs. costly annotation: rendered omnidirectional dataset of vehicles","authors":"Peter Slosár, Roman Juránek, A. Herout","doi":"10.1145/2643188.2643191","DOIUrl":"https://doi.org/10.1145/2643188.2643191","url":null,"abstract":"Detection of vehicles in traffic surveillance needs good and large training datasets in order to achieve competitive detection rates. We are showing an approach to automatic synthesis of custom datasets, simulating various major influences: viewpoint, camera parameters, sunlight, surrounding environment, etc. Our goal is to create a competitive vehicle detector which \"has not seen a real car before.\" We are using Blender as the modeling and rendering engine. A suitable scene graph accompanied by a set of scripts was created, that allows simple configuration of the synthesized dataset. The generator is also capable of storing rich set of metadata that are used as annotations of the synthesized images. We synthesized several experimental datasets, evaluated their statistical properties, as compared to real-life datasets. Most importantly, we trained a detector on the synthetic data. Its detection performance is comparable to a detector trained on state-of-the-art real-life dataset. Synthesis of a dataset of 10,000 images takes only several hours, which is much more efficient, compared to manual annotation, let aside the possibility of human error in annotation.","PeriodicalId":115384,"journal":{"name":"Proceedings of the 30th Spring Conference on Computer Graphics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121902241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Adaptive BVH: an evaluation of an efficient shared data structure for interactive simulation 自适应BVH:一种有效的交互式仿真共享数据结构的评估

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2643192

Colin Fowler, Michael J. Doyle, M. Manzke

{"title":"Adaptive BVH: an evaluation of an efficient shared data structure for interactive simulation","authors":"Colin Fowler, Michael J. Doyle, M. Manzke","doi":"10.1145/2643188.2643192","DOIUrl":"https://doi.org/10.1145/2643188.2643192","url":null,"abstract":"The strive towards realistic simulations at interactive speeds has driven research in both rendering and physical simulation. This heightened realism involves larger data sets and data structures, and comes at a high computational cost. We investigate simulations involving collision detection and real-time ray-tracing and note similarities in the data structures used to accelerate them. Our investigation demonstrates that it is possible to utilize a single Acceleration Data Structure (ADS) for both subsystems of an interactive simulation, even though they benefit from different characteristics. Typically, the collision detection and ray-tracing system build ADSs that satisfy their specific needs. We argue for a shared adaptive ADS that can be optimized for both collision detection and ray-tracing. The collision detection system builds this adaptive ADS and the ray-tracing algorithm uses the same adaptive ADS after the collision detection system has resolved potential collisions, therefore saving memory, execution time and power. The results show that compromises need not be made on build heuristics. Furthermore, the ADS may be optimized for primary and secondary rays and consequently save more memory, execution time and large quantities of power.","PeriodicalId":115384,"journal":{"name":"Proceedings of the 30th Spring Conference on Computer Graphics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Computation and perception: building better displays 计算和感知:构建更好的显示

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2699750

D. Gutierrez

引用次数: 0

Live ultrasound-based particle visualization of blood flow in the heart 基于实时超声的心脏血流粒子可视化

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2643200

Paolo Angelelli, S. Snare, H. Hauser, S. Nyrnes, L. Løvstakken, S. Bruckner

{"title":"Live ultrasound-based particle visualization of blood flow in the heart","authors":"Paolo Angelelli, S. Snare, H. Hauser, S. Nyrnes, L. Løvstakken, S. Bruckner","doi":"10.1145/2643188.2643200","DOIUrl":"https://doi.org/10.1145/2643188.2643200","url":null,"abstract":"We introduce an integrated method for the acquisition, processing and visualization of live, in-vivo blood flow in the heart. The method is based on ultrasound imaging, using a plane wave acquisition acquisition protocol, which produces high frame rate ensemble data that are efficiently processed to extract directional flow information not previously available based on conventional Doppler imaging. These data are then visualized using a tailored pathlet-based visualization approach, to convey the slice-contained dynamic movement of the blood in the heart. This is especially important when imaging patients with possible congenital heart diseases, who typically exhibit complex flow patterns that are challenging to interpret. With this approach, it now is possible for the first time to achieve a real-time integration-based visualization of 2D blood flow aspects based on ultrasonic imaging. We demonstrate our solution in the context of selected cases of congenital heart diseases in neonates, showing how our technique allows for a more accurate and intuitive visualization of shunt flow and vortices.","PeriodicalId":115384,"journal":{"name":"Proceedings of the 30th Spring Conference on Computer Graphics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121502393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

History of SCCG SCCG的历史

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2700584

E. Ruzický, A. Ferko

引用次数: 0

Multiple instances object detection 多实例对象检测

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2643190

Z. Haladová, E. Sikudová

引用次数: 2

Kinect-supported dataset creation for human pose estimation kinect支持的人体姿态估计数据集创建

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2643195

Kamil Behún, A. Herout, A. Páldy

{"title":"Kinect-supported dataset creation for human pose estimation","authors":"Kamil Behún, A. Herout, A. Páldy","doi":"10.1145/2643188.2643195","DOIUrl":"https://doi.org/10.1145/2643188.2643195","url":null,"abstract":"Training and evaluation datasets for specific tasks of human pose estimation are hard to find. This paper presents an approach for rapid construction of a precisely annotated training dataset for human pose estimation of a sitting subject, intended especially for aeronautic cockpit. We propose to use Kinect as a tool for collecting ground truth to a purely visual dataset (for reasons defined by the application, use of Kinect or similar structured light-based approaches is impossible). Since Kinect annotation of individual joints might be imprecise at certain moments, manual post-processing of the acquired data is necessary and we propose a scheme for efficient and reliable manual post-annotation. We produced a dataset of 6,322 annotated frames, involving 11 human subjects recorded in various lighting conditions, different clothing, and varying background. Each frame contains one seated person in frontal view with annotation of pose and optical flow data. We used detectors of body parts based on Random Forest on the produced dataset in order to verify its usability. These preliminary results show that the detector can be trained successfully on the developed dataset and that the optical flow contributes to the detection accuracy considerably. The dataset and the intermediary data used during its creation is made publicly available. By this, we intend to support further research and evaluation in the specific topic of human pose estimation focused on a sitting subject in a cockpit scenario.","PeriodicalId":115384,"journal":{"name":"Proceedings of the 30th Spring Conference on Computer Graphics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121064410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Evaluating the covariance matrix constraints for data-driven statistical human motion reconstruction 评估数据驱动的统计人体运动重建的协方差矩阵约束

Proceedings of the 30th Spring Conference on Computer Graphics Pub Date : 2014-05-28 DOI: 10.1145/2643188.2643199

Christos Mousas, Paul F. Newbury, C. Anagnostopoulos

引用次数: 20