Abstract

Diffusion curves image (DCI) is a kind of vector graphics with its geometric primitives defined by a set of Bezier curves. As one of the vector graphics, editability is an important property for diffusion curves. However, most of the current DCI shape manipulation methods are typically limited to single curve. It is tedious for users to edit the shape of DCI by deforming each curve individually, especially with the increasing number of curves. In addition, the image contents cannot well preserved because there is no constraints among curves. We present an efficient and flexible DCI manipulation method by combining global and local deformations. The overall shape is easily changed by our global manipulation tool with a few user interactions, while the local manipulation tool is used to modify details. These two tools can be combined to obtain desired effects. In both cases, the constraints during deformation preserve the quality of the editing results. Our experimental results demonstrate that the proposed method provides more convenient control for DCI shape editing than existing techniques based on diffusion curves.

Highlights

  • Vector graphics provides a representation for describing images by geometric primitives such as points, lines and curves

  • RELATED WORK we focus on techniques targeting vector graphics, vector graphics editing and shape deformation, the topics that are most relevant to our work

  • PROPOSED METHOD we will introduce the details of our diffusion curve image (DCI) shape manipulation method

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Summary

Introduction

Vector graphics provides a representation for describing images by geometric primitives such as points, lines and curves. Compared with raster graphics which is defined via a grid of pixels, vector graphics is resolution-independent, more compact, and easy for editing. Due to these advantages, it is extensively used in graphical user interface, internet applications, three-dimensional modeling and so on. As one of popular vector graphics primitives, diffusion curves [1] uses cubic Bézier curves and attached both side color control points to create high-quality vector images. It can be created from scratch by drawing tools or through tracing existing images. The rendering of a set of diffusion curves results in a diffusion curve image (DCI) with complex color gradients

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