Region extraction from multiple images

Hiroshi Ishikawa, I. H. Jermyn

研究成果: Conference contribution

14 引用 (Scopus)

抜粋

We present a method for region identification in multiple images. A set of regions in different images and the correspondences on their boundaries can be thought of as a boundary in the multi-dimensional space formed by the product of the individual image domains. We minimize an energy functional on the space of such boundaries, thereby identifying simultaneously both the optimal regions in each image and the optimal correspondences on their boundaries. We use a ratio form for the energy functional, thus enabling the global minimization of the energy functional using a polynomial time graph algorithm, among other desirable properties. We choose a simple form for this energy that favours boundaries that lie on high intensity gradients in each image, while encouraging correspondences between boundaries in different images that match intensity values. The latter tendency is weighted by a novel heuristic energy that encourages the boundaries to lie on disparity or optical flow discontinuities, although no dense optical flow or disparity map is computed.

元の言語English
ホスト出版物のタイトルProceedings of the IEEE International Conference on Computer Vision
ページ509-516
ページ数8
1
出版物ステータスPublished - 2001
外部発表Yes
イベント8th International Conference on Computer Vision - Vancouver, BC
継続期間: 2001 7 92001 7 12

Other

Other8th International Conference on Computer Vision
Vancouver, BC
期間01/7/901/7/12

    フィンガープリント

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

これを引用

Ishikawa, H., & Jermyn, I. H. (2001). Region extraction from multiple images. : Proceedings of the IEEE International Conference on Computer Vision (巻 1, pp. 509-516)