We present a flow-based watercolor rendering scheme for game background images. Our scheme is composed of two stages: a flow-based abstraction stage, which is followed by a noise-based watercoloring stage. In the abstrction stage, we apply a 3D Sobel filter to accelerate the abstraction process. The abstracted image is then applied a Perlin noise-based watercoloring process to produce watercolor effects. Finally, we apply paper texture to improve the realism of the results. Among various categories of photographs, our scheme shows good results on portraits, which is a common background of game scene. We apply our scheme for several game backgrounds and produce visually pleasing watercolor effects from them.
This study aims to explore game backgrounds and content generation using motion graphics. Motion graphics can be utilized to generate contents in various fields including games, cartoons, movies, animations, characters, advertisements, etc. This study identifies how game backgrounds and game scenes are simply generated by utilizing motion graphics. And synthesizing techniques are used to generate game backgrounds and game scenes. Also, for game backgrounds and characters, motion graphics are applied to simply express special effects such as various flames, blazes, thunderbolts, etc. On the subject of secondary school students, this study evaluates their game background and character generation competencies with two methods to develop game industry and improve content personnel. Evaluation results of 88 points and 85 points are shown from the evaluation of the last results for evaluation items according to the standard of 100 points, and it suggests that game development personnel and character content production personnel be reserved with professional education and support in the future.
본 논문에서는 사진이나 동영상으로부터 게임 배경 영상을 생성하기 위한 영상 추상화 기법을 제시한다. DeCarlo 등이 제안한 방법 [9]에 기반하여 개발된 이 방법은 에이다부스트 알고리즘을 이용해서 인식된 여러 개의 부분과 나머지 부분들에 대해서 서로 다른 스케일로 추상화를 수행함으로써 선택적으로 다중 스케일 구조의 추상화된 영상을 생성할 수 있다. 이 방법은 여러 정지 영상 및 동영상에 적용되어서 다양한 결과를 보여준다. 이 방법은 제한된 자원을 가진 게임 개발 환경에서 게임 배경에 많은 자원을 투입하기 힘든 상황에서 유용하게 사용될 수 있다.