Multidimensional Projection Visualization: Control-points Selection and Inverse Projection Exploration

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atmire.migration.oldid5139
dc.contributor.advisorCosta Sousa, Mário
dc.contributor.advisorSamavati, Faramarz
dc.contributor.authorPortes dos Santos Amorim, Elisa
dc.contributor.committeememberGavrilova, Marina
dc.contributor.committeememberJacob, Christian J.
dc.contributor.committeememberRios, Cristian
dc.contributor.committeememberEsperanca, Claudio
dc.date.accessioned2016-12-07T18:56:30Z
dc.date.available2016-12-07T18:56:30Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractThe task of interpreting multidimensional data is as important as it is challenging. The importance comes from the fact that virtually every data worth analyzing is multidimensional, while the challenge comes from the very nature of these data sets, as the multiple features describing each instance can quickly overwhelm our visual perception system, thus making it difficult to observe meaningful information. Visualization techniques play an essential role in simplifying this task, by preprocessing the data to extract critical features and displaying them effectively, by using visual metaphors that can be easily understood. Multidimensional Projection (MP) is one of such techniques, whose fundamental goal is to present an overview of the data distribution in the form of a 2D scatterplot graph. It does so by reducing the dimensionality of the dataset in such a way that distances are preserved as much as possible. MP approaches, along with most visualizations, are shifting from a static display to a more interactive one, allowing human intervention to modify the layout and facilitate exploration and understanding of the data. In this thesis, I present contributions that specifically relate to interactive aspects of multidimensional projection. First, I propose a computational framework and methodology for control points selection. Control points are a particular set of projected points used to steer and rearrange the projection layout. I demonstrate the proposed method can improve the projection quality while requiring only a small amount of control points. Second, I introduce inverse projection, a novel paradigm to create multidimensional points exclusively through 2D interactions. The projection space is transformed into a canvas, where new points can be added. These new points are then mapped into the original multidimensional space, i.e., they become unique multidimensional instances themselves. Lastly, I present the usability of the inverse projection framework in two demonstration examples. (1) A parameter exploration prototype system for optimization with multiple minima. (2) A face-synthesis application, where new face models are generated on the fly.en_US
dc.identifier.citationPortes dos Santos Amorim, E. (2016). Multidimensional Projection Visualization: Control-points Selection and Inverse Projection Exploration (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27026en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27026
dc.identifier.urihttp://hdl.handle.net/11023/3480
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectComputer Science
dc.subject.classificationVisualizationen_US
dc.subject.classificationMultidimensional dataen_US
dc.subject.classificationInverse projectionen_US
dc.subject.classificationRadial Basis Functionsen_US
dc.titleMultidimensional Projection Visualization: Control-points Selection and Inverse Projection Exploration
dc.typedoctoral thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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