This paper presents an approach for surface rendering in 3D rectilinear datafield. The approach will first detect the border of the given object in the field by underlying function fitting and the second gradient deri...This paper presents an approach for surface rendering in 3D rectilinear datafield. The approach will first detect the border of the given object in the field by underlying function fitting and the second gradient derivative calculating. On marking the border cells, they will be rendered in polygons to fit the surface of the object. The implementation, as well as some experiments, is given in the paper.展开更多
This paper focuses on entirety ioterpretation, representation and reconstruction of three-dimensional volume data sets based on the physical model of the data. The data model is represented by thIee-dimensional geomet...This paper focuses on entirety ioterpretation, representation and reconstruction of three-dimensional volume data sets based on the physical model of the data. The data model is represented by thIee-dimensional geometric model.The surfaces inside the datafield are extracted and matched to the model stirfaces in order to reconstruct the new datafield based on the model. A conclusion is drawn that physical modeling provides a good basis and approach to interpret and represellt the data sets. This paPer also presents a subdivision algorithm to fast traJce B-spline curve and the colltrary algorithm is adopted to extract the geometry feature of the curve.展开更多
文摘This paper presents an approach for surface rendering in 3D rectilinear datafield. The approach will first detect the border of the given object in the field by underlying function fitting and the second gradient derivative calculating. On marking the border cells, they will be rendered in polygons to fit the surface of the object. The implementation, as well as some experiments, is given in the paper.
文摘This paper focuses on entirety ioterpretation, representation and reconstruction of three-dimensional volume data sets based on the physical model of the data. The data model is represented by thIee-dimensional geometric model.The surfaces inside the datafield are extracted and matched to the model stirfaces in order to reconstruct the new datafield based on the model. A conclusion is drawn that physical modeling provides a good basis and approach to interpret and represellt the data sets. This paPer also presents a subdivision algorithm to fast traJce B-spline curve and the colltrary algorithm is adopted to extract the geometry feature of the curve.
