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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2006.11
- 수록면
- 153 - 154 (2page)
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이 논문의 연구 히스토리 (3)
2007
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In the segmentation problems to extract objects from an image to make, for examples, 3D VR (virtual reality) contents or to estimate sizes of objects, a key issue is fine segmentation which means that the objects can be extracted without visual loss of detailed shapes. Our research is motivated by making 3D VR contents of commercial products. It makes an e-catalog that customers can browse a product in three dimensional virtual space on internet markets. A common way of making a 3D VR content starts from taking hundreds of photographs of a product with different view angles in a photo studio. The most difficult step is to extract the product from a background without visual loss of detailed shapes. The images taken in the studio have wellknown difficulties in segmentation problems even though they usually have simple background colors and small amount of noises such as JPEG artifacts. These mainly come from lighting conditions in the studio and complex shapes of products. Most of lighting conditions make shadows which cause weak boundaries between objects and the background. More serious weak boundaries are produced by a reflection on some parts of an object due to bright lighting conditions and properties of materials of the object. It changes colors of objects into almost white which is normally used as a background color. In addition, there are other difficulties; shapes of objects can be highly non-convex.
There have been a lot of boundary-based segmentation algorithms. The snake model in [1] has been a foundation of curve evolution based on the minimization of an energy. The geodesic active contour model was introduced in [2] as the minimization of a weighted length. Although the model has many advantages over the classical snake, it has drawbacks such as dependence on positions of initial curves, incapacity for capturing weak boundaries when an image has both weak and strong boundaries, and slow convergence in non-convex boundaries. Numerous modifications of the snake model and the geodesic active contour model have been developed. to address these drawbacks. In [3], gradient vector flow was proposed for a fast convergence to the non-convex boundaries. In [4], a curvature vector flow was introduced to overcome a l ... 전체 초록 보기
There have been a lot of boundary-based segmentation algorithms. The snake model in [1] has been a foundation of curve evolution based on the minimization of an energy. The geodesic active contour model was introduced in [2] as the minimization of a weighted length. Although the model has many advantages over the classical snake, it has drawbacks such as dependence on positions of initial curves, incapacity for capturing weak boundaries when an image has both weak and strong boundaries, and slow convergence in non-convex boundaries. Numerous modifications of the snake model and the geodesic active contour model have been developed. to address these drawbacks. In [3], gradient vector flow was proposed for a fast convergence to the non-convex boundaries. In [4], a curvature vector flow was introduced to overcome a l ... 전체 초록 보기
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UCI(KEPA) : I410-ECN-0101-2009-410-014679479