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Outputs (3)

Globally Optimal Regions and Boundaries as Minimum Ratio Cycles (2001)
Journal Article
Jermyn, I., & Ishikawa, H. (2001). Globally Optimal Regions and Boundaries as Minimum Ratio Cycles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1075-1088. https://doi.org/10.1109/34.954599

We describe a new form of energy functional for the modeling and identification of regions in images. The energy is defined on the space of boundaries in the image domain and can incorporate very general combinations of modeling information both from... Read More about Globally Optimal Regions and Boundaries as Minimum Ratio Cycles.

Region Extraction from Multiple Images (2001)
Conference Proceeding
Ishikawa, H., & Jermyn, I. (2001). Region Extraction from Multiple Images. In Eighth IEEE International Conference on Computer Vision (ICCV 2001) : July 7-14, 2001, Vancouver, British Columbia, Canada ; proceedings (509-516). https://doi.org/10.1109/iccv.2001.937559

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... Read More about Region Extraction from Multiple Images.

Judging whether multiple silhouettes can come from the same object (2001)
Conference Proceeding
Jacobs, D., Belhumeur, P., & Jermyn, I. (2001). Judging whether multiple silhouettes can come from the same object. In C. Arcelli, L. P. Cordella, & G. Sanniti di Baja (Eds.), Visual form 2001 : 4th International Workshop on Visual Form, IWVF4, Capri, Italy, May 28-30, 2001 ; proceedings (532-541). https://doi.org/10.1007/3-540-45129-3_49

We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, such as when a mobile robot explores an environment. In this case we pres... Read More about Judging whether multiple silhouettes can come from the same object.