| Summary: | 碩士 === 國立臺灣科技大學 === 資訊工程系 === 102 === Line field design is widely used in computer graphics and computer vision. But most of these method designed line field are letting user to put some singularities and to control the topology of whole flow field. However, it is extremely complexity to forecast the amount of singularities and their location, and even hard to administer the topology.
In our research, we will present a semi-automatic system. Our system will generate flow field which is following the gradient flow in original image, after that we will keep the fewest number of singularities. The input image separates into patches based on the existed gradient flow and color. Then, generating flow field with superpixel, and letting user find out singularities. It could trace separatrices bi-directly from these singularities as start point. We will get closed regions from separatrice, and assign undefined superpixels into existed patches. Finally, using voting scheme and get smooth edge.
In flow field design, we set flow type automatically, and generate standard flow field with skeleton structure. Then, it will be settled down the source/sink with the minimal error calculating between all line fields of combinations and standard flow field. Ultimately, we will check to merge singulaities, and try to keep the fewest number of singularities.
After the system generated the line field, it will represent the line field by rendering as painterly stylization. Our system would imitate the style of painterly by rendering stroke texture.
|
|---|
