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BUBBLEWORLD BUILDER 3D Modeling using Two-touch and Sketch Interaction
"... Commercial 3D modeling applications tend to be difficult and time consuming to use due to complex interfaces and functionality. In this paper we present a simple and intuitive interface for modeling “blobby” 3D objects using touch input. Objects are defined by sketching and modifying contours of cro ..."
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Commercial 3D modeling applications tend to be difficult and time consuming to use due to complex interfaces and functionality. In this paper we present a simple and intuitive interface for modeling “blobby” 3D objects using touch input. Objects are defined by sketching and modifying contours of cross-sectional slices. Two-touch interactions are used to zoom, rotate and slice the object. The resulting application allows rapid creation of 3D models and looks promising for medical imaging applications. A drawback is that intuitiveness depends on a user’s mental abilities such as 3D vision and the ability to develop a mental model and compare it with visual data. 1
Applying Data Mining for the Recognition of Digital Ink Strokes
"... The objective of this research is to improve the recognition of hand drawn diagrams. To accurately recognise an object, a recogniser should be able to utilise the rich information stored in an ink stroke. To reduce the process time required to develop a recogniser, a recogniser should be easily exte ..."
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The objective of this research is to improve the recognition of hand drawn diagrams. To accurately recognise an object, a recogniser should be able to utilise the rich information stored in an ink stroke. To reduce the process time required to develop a recogniser, a recogniser should be easily extendable. While recognition techniques based on machine learning satisfied both requirements above, they are still limited; the stroke information utilised is mostly decided heuristically, and there is no systematic comparison between the available algorithms. Therefore this research is focused on improving the existing sketch recognition by combining a rich feature set and WEKA, a data mining tool. Our review of literature shows the different approaches in sketch recognition, and reveals the strength and weakness of each. It also demonstrates the promising results obtained in related areas with data mining. We analyse the data mining algorithms implemented in WEKA, and select nine from among them. These algorithms are optimised on three diagram sets by altering their settings, and we assume this optimisation can be applied to any diagram set. We then rank and combine these algorithms to obtain higher performance. Furthermore we apply data mining to select better features for Rubine,
Three Approaches for the Detection of CAD-Part Attributes as a Preparation for an Automatic Classification
"... Abstract—In this paper we present a research project for the automation of a classification for machine parts. We developed algorithms for the automatic detection of attributes of machine parts from neutral CAD-file formats. Here three different approaches are presented. The first deals with the rec ..."
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Abstract—In this paper we present a research project for the automation of a classification for machine parts. We developed algorithms for the automatic detection of attributes of machine parts from neutral CAD-file formats. Here three different approaches are presented. The first deals with the reconstruction of CAD-models based on images or freehand sketches. The second one analyses the construction chronic of the parts aided by XML-files and the last approach investigates in the neutral file format of STL-data. Computer programs based on these algorithms were tested with a collection of CAD-parts. We describe the basic assumptions and the mode of operation of these algorithms and show first results of this research project. I.
