J. WSCG最新文献_第7页

Real-time Service-based Stream-processing of High-resolution Videos 基于实时服务的高分辨率视频流处理

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2020.28.15

Florian Wagner, J. Döllner, Matthias Trapp

引用次数: 0

Topological-based roof modeling from 3D point clouds 基于拓扑的三维点云屋顶建模

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2020.28.17

Dobrina Boltcheva, J. Basselin, Clément Poull, H. Barthélemy, Dmitry Sokolov

{"title":"Topological-based roof modeling from 3D point clouds","authors":"Dobrina Boltcheva, J. Basselin, Clément Poull, H. Barthélemy, Dmitry Sokolov","doi":"10.24132/jwscg.2020.28.17","DOIUrl":"https://doi.org/10.24132/jwscg.2020.28.17","url":null,"abstract":"Automatic extraction of building roofs from remote sensing data is important for many applications including 3D city modeling, urban planning, disaster management, and simulations. In this paper, we propose an automatic workﬂow for roof reconstruction by polygonal models from classiﬁed high-density LIDAR data. Roof planes are initially delineated by a segmentation algorithm combining a robust Hough-based normal estimator and a region growing strategy. Then, each roof is modeled by a 2D α -shape mesh which is used to discover not only building outline but also all ridges deﬁned by intersecting roof planes, without any geometrical calculations. The mesh directly encodes the topological relations between neighboring planes which allows us to build the ﬁnal polygonal model straightforwardly. This topological approach makes our solution more simple and robust than existing methods which mostly extract the intersection lines by means of geometrical computations. Experimental results show that the proposed workﬂow offers a high success rate for extraction at plane level (94% completeness, 92.7% correctness, 90.8% quality) when LIDAR point density is sufﬁciently high.","PeriodicalId":338597,"journal":{"name":"J. WSCG","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132172857","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

Color-dependent pruning in immersive video coding 沉浸式视频编码中的颜色相关剪枝

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2022.11

Dawid Mieloch, A. Dziembowski, M. Domański, Gwangsoon Lee, J. Jeong

引用次数: 1

A Lightweight Approach to 3D Measurement of Chronic Wounds 一种轻量级的慢性伤口三维测量方法

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2019.27.1.8

Tim Shirley, D. Presnov, A. Kolb

引用次数: 5

Exploring the necessity of mosaicking for underwater imagery semantic segmentation using deep learning 探讨基于深度学习的水下图像语义分割中拼接的必要性

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2022.4

Kazimieras Buškus, E. Vaičiukynas, Saulė Medelytė, A. Šiaulys

{"title":"Exploring the necessity of mosaicking for underwater imagery semantic segmentation using deep learning","authors":"Kazimieras Buškus, E. Vaičiukynas, Saulė Medelytė, A. Šiaulys","doi":"10.24132/jwscg.2022.4","DOIUrl":"https://doi.org/10.24132/jwscg.2022.4","url":null,"abstract":"Deep learning applications are attracting considerable interest nowadays and image analysis pipelines are no exception. Benthic studies often rely on the subjective evaluation of video material recorded using underwater drones. The demand for automatic image segmentation and quantitative evaluation arises due to the large volume of video data collected. This study performed a semantic segmentation task by training the PSPNet architecture with ResNet-34 backbone for 50 epochs using imagery prepared by simply extracting a few video frames or stitch- ing a multitude of frames into a large 2D mosaic. Mosaicking is a particularly resource-intensive step, therefore, the possibility to skip such preprocessing would result in a more rapid analysis. The effect on the resulting seg- mentation quality was investigated by estimating the seabed coverage of three classes (Furcellaria lumbricalis, Mytilus edulis trossulus, and boulders) in a video material obtained from the Baltic Sea. Segmentation success, measured by intersection over union, varied between 0.56 and 0.84, usually slightly better for frames than for the mosaic overall. Absolute differences in estimated coverage were negligible (mosaic vs. frames): 0.24% vs. 1.26% for furcellaria, 0.44% vs. 2.46% for mytilus, and 4.02% vs. 2.06% for boulders. Due to the differences between predicted coverage and the mosaic-based ground truth being in an acceptable range, the findings suggest that the mosaicking step could be safely skipped in favor of a few equally spaced sample frames.","PeriodicalId":338597,"journal":{"name":"J. WSCG","volume":"984 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116220774","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: 0

Lens-based Focus+Context Visualization Techniques for Interactive Exploration of Web-based Reachability Maps 基于镜头的焦点+上下文可视化技术用于基于web的可达性地图的交互式探索

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2019.27.2.1

M. Listemann, Matthias Trapp, Jürgen Döllne

引用次数: 3

Interactive Editing of Voxel-Based Signed Distance Fields 基于体素的符号距离域的交互式编辑

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2022.9

Ole Wegen, J. Döllner, Matthias Trapp

引用次数: 0

OPEDD: Offroad Pedestrian Detection Dataset OPEDD:越野行人检测数据集

J. WSCG Pub Date : 1900-01-01 DOI: 10.24132/jwscg.2020.28.24

Peter Neigel, Mina Ameli, J. Katrolia, Hartmut Feld, Oliver Wasenmüller, D. Stricker