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  • 1.
    Ericsson, Martin
    et al.
    Uppsala universitet.
    Hast, Anders
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad.
    Seipel, Stefan
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad.
    A Heterogeneous Cluster framework for Computationally Heavy Visualizations2009Inngår i: Proceedings of IADIS Applied Computing 2009, 2009, s. 337-339Konferansepaper (Fagfellevurdert)
  • 2.
    Hedman, Erik
    Högskolan i Gävle, Institutionen för matematik, natur- och datavetenskap.
    Datoriserat beslutsstöd vid mätning av dornprofil2006Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
    Abstract [sv]

    Behovet att mäta kvalitet hos olika produkter ledde till framställningen av ett antal mätningsmetoder. Redan vid olika stadier av tillverkning kan man avgöra om produkten motsvarar en viss förutbestämd standard. Den här rapporten kommer att undersöka vilka eventuella problem mätning av kvalitet med laser har i industrimiljö. En konceptuell modell över hur mätning av dornprofiler kan genomföras kommer att presenteras med fokus på att väga tidsåtgång mot exakthet för att skapa en balans som är acceptabel för företagets krav. En beslutsfattande algoritm kommer även att presenteras där ett avgörande ska ske om mätresultaten är rimliga eller beror på fel i mätutrustningen. Om mätresultaten är rimliga jämförs de mot referensvärden för att avgöra om produkten klarar kvalitetskraven. Resultatet presenteras i form av ett program som styr hela mätproceduren samt även fattar ett beslut om den aktuella mätningen ska förkastas eller behållas.

  • 3.
    Liu, Fei
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Seipel, Stefan
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Detection of Façade Regions in Street View Images from Split-and-Merge of Perspective Patches2014Inngår i: Journal of Image and Graphics, ISSN ISSN 2301-3699, Vol. 2, nr 1, s. 8-14Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Identification of building façades from digital images is one of the central problems in mobile augmented reality (MAR) applications in the built environment. Directly analyzing the whole image can increase the difficulty of façade identification due to the presence of image portions which are not façade. This paper presents an automatic approach to façade region detection given a single street view image as a pre-processing step to subsequent steps of façade identification. We devise a coarse façade region detection method based on the observation that façades are image regions with repetitive patterns containing a large amount of vertical and horizontal line segments. Firstly, scan lines are constructed from vanishing points and center points of image line segments. Hue profiles along these lines are then analyzed and used to decompose the image into rectilinear patches with similar repetitive patterns. Finally, patches are merged into larger coherent regions and the main building façade region is chosen based on the occurrence of horizontal and vertical line segments within each of the merged regions. A validation of our method showed that on average façade regions are detected in conformity with manually segmented images as ground truth.

  • 4.
    Liu, Fei
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Seipel, Stefan
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Detection of Line Features in Digital Images of Building Structures2012Inngår i: Proceedings of IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2012 (CGVCVIP 2012) / [ed] Yingcai Xiao, 2012, s. 163-167Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper describes method for detection of short line segments in digital images. It aims at identifying buildingsin images taken from the ground view. The process starts with the image edge map and is carried out in twodifferent levels. One is to detect long line segments usually stemming from façade edges and building silhouettes.The other one identifies shorter line segments which typically represent architectural details such as windows andentrances. Selected individual connected components in both vertical and horizontal gradient component mapsare used respectively as input to the Hough transform at this level. Our first result shows that this method iscapable of recognizing lines of interest but has also included many randomly oriented lines. The next step will beto eliminate the random line segments and correlate line segments of the two levels to classify high-level features ofbuildings in an image.

  • 5.
    Nail, Haidar
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektronik, matematik och naturvetenskap.
    wireless site survey: site surveying in home,office and laboratory environment2011Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
    Abstract [en]

    Today, Communication has increasing influence on our Daily life. Wireless data Communication services allow people to access the data Network without a physical Connection. This work Studying Wireless Local Area Network WLAN features and describing all technologies and standard necessary to operate this network. This work aims also at comprehensive investigation of wireless network including wireless Local Area Networks implementation and performance analysis. Testing WLAN performance through some practical measurement such as site surveying in different locations, finally measuring the strength of the signals different locations in the coverage area, test results can be used in order to enhance the network performance.

  • 6.
    Seipel, Stefan
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap. Centre of Image Analysis, Uppsala University, Uppsala, Sweden.
    Evaluating 2D and 3D Geovisualizations for Basic Spatial Assessment2013Inngår i: Behavior and Information Technology, ISSN 0144-929X, E-ISSN 1362-3001, Vol. 32, nr 8, s. 845-858Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    This study investigates the use of 2D and 3D presentations of maps for the assessment of distances in a geographicalcontext. Different types of 3D representations have been studied: A weak 3D visualisation that provides staticmonocular depth cues and a strong 3D visualisation that uses stereoscopic and kinetic depth cues. Two controlledexperiments were conducted to test hypotheses regarding subjects’ efficiency in visually identifying the shortestdistance among a set of market locations in a map. As a general result, we found that participants were able tocorrectly identify shortest distances when the difference to potential alternatives was sufficiently large, butperformance decreased systematically when this difference decreased. Noticeable differences emerged for theinvestigated visualisation conditions. Participants in this study were equally efficient when using a weak 3Drepresentation and a 2D representation. When the strong 3D visualisation was employed, they reported visualdiscomfort and tasks were solved significantly less correct. Presentations of intrinsic 2D content (maps) in 3Dcontext did, in this study, not benefit from cues provided by a strong 3D visualisation and are adequatelyimplemented using a weak 3D visualisation.

  • 7.
    Seipel, Stefan
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap. Centre of Image Analysis, Uppsala University.
    Carvalho, Leonor
    University of Turku.
    Solving Combined Geospatial Tasks Using 2D and 3D Bar Charts2012Inngår i: 2012 16th International Conference on Information Visualisation, 2012, s. 157-163Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper presents a user study that investigates2D and 3D visualizations of bar charts in geographic maps.The task to be solved by the participants in this studyrequired estimation of the ratio of two different spatial distancemeasures and relative ranking among potential candidates. Theresults of this experiment show that subjects were equally fastand accurate when using both the 2D and 3D visualizations.Visual discomfort was reported by almost half of the testpopulation, but performance was not affected. Our study alsoshowed that frequent game players did not benefit more froma 3D visualization than inexperienced game-players.

  • 8.
    Seipel, Stefan
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Hast, Anders
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    A Local Curvature Based Lighting Model for Rendering of Snow2010Inngår i: Proceedings of IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2010 (CGVCVIP 2010) / [ed] Yingcai Xiao, Tomaz Amon and Roberto Muffoletto, 2010, s. 367-372Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Local illumination models try to describe the interaction between light and objects in the scene based on only few parameters representing some geometric and material properties at a given point on a surface. In this paper we present our research in local illumination models for the purpose of approximating light transport and shadow-masking effects in the local neighborhood of the surface point under evaluation. We assume that the amount of curvature at a surface point to some extent represents geometric properties in the surrounding neighborhood of this point. From this we define an empirical illumination model for diffuse reflecting materials which controls the amount of locally scattered light from the neighborhood as well as subsurface light transport based on some curvature metric.

  • 9.
    Seipel, Stefan
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Jenke, Peter
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Quantification of gaseous structures with volumetric reconstruction from visual hulls2011Inngår i: Proceedings of SIGRAD 2011. Evaluations of Graphics and Visualization, November 17–18, 2011, KTH, Stockholm, Sweden, 2011, s. 77-82Konferansepaper (Fagfellevurdert)
    Abstract [en]

    3D reconstruction from visual hulls is a well established technique for camera based reconstruction of 3D objects in computer graphics. We propose in this paper to employ visual hull techniques to quantify the volume of diffusely defined gaseous structures. In our evaluation, visual quality of the 3D reconstructions is secondary. Instead, using synthetic ground truth data, we determine the number of independent silhouette images needed to achieve a stable volume estimate. We also estimate the influence of different segmentation results of the silhouette images on final volume estimates. Our results show that comparably few camera views yield to convergent volume estimates. For the type of 3D data studied, visual hull reconstructions overestimate actual volumes with about 50%. This proportion seems to be consistent for different data sets tested and may serve for re-calibration of volume estimation of gaseous structures.

  • 10.
    Seipel, Stefan
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Liu, Fei
    Uppsala university.
    Ericsson, Martin
    Uppsala university.
    A curvature based lightning model for quasi-global diffuse illumination2010Inngår i: Proceedings of Eurographics 2010, Posters, 2010, s. poster5008--Konferansepaper (Fagfellevurdert)
  • 11.
    Åhlén, Julia
    et al.
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet.
    Seipel, Stefan
    Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.
    Early Recognition of Smoke in Digital Video2010Inngår i: Advances in Communications, Computers, Systems, Circuits and Devices: European Conference of Systems, ECS'10, European Conference of Circuits Technology and Devices, ECCTD'10, European Conference of Communications, ECCOM'10, ECCS'10 / [ed] Mladenov, V; Psarris, K; Mastorakis, N; Caballero, A; Vachtsevanos, G, Athens: World Scientific and Engineering Academy and Society, 2010, s. 301-306Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper presents a method for direct smoke detection from video without enhancement pre-processing steps. Smoke is characterized by transparency, gray color and irregularities in motion, which are hard to describe with the basic image features. A method for robust smoke description using a color balancing algorithm and turbulence calculation is presented in this work. Background extraction is used as a first step in processing. All moving objects are candidates for smoke. We make use of Gray World algorithm and compare the results with the original video sequence in order to extract image features within some particular gray scale interval. As a last step we calculate shape complexity of turbulent phenomena and apply it to the incoming video stream. As a result we extract only smoke from the video. Features such shadows, illumination changes and people will not be mistaken for smoke by the algorithm. This method gives an early indication of smoke in the observed scene.

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