I. Jermyn and H. Ishikawa, "Globally optimal regions and boundaries as minimum ratio weight cycles," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1075--1088, Oct 2001.  Home/Search Document Details and Download
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Stereo Matching by Compact Windows via Minimum Ratio Cycle - Veksler (2001) (4 citations) (Correct)
....set b to a low value since we want the bias term to differentiate only between windows with approximately equal average error. 4 Minimization via Minimum Ratio Cycle The MRC algorithm was first introduced to the vision community by Jermyn and Ishikawa in their interesting image segmentation work [6]. In this section we sketch the MRC problem and its complexity, and also describe how we use it to minimize the cost function in equation 1. For a full description of MRC algorithms see [1] 4.1 Minimum Ratio Cycle Suppose G = V; E) is a directed graph with functions w : E R and : E R on ....
I. Jermyn and H. Ishikawa. Globally optimal regions and boundaries as minimum ratio cycles. submitted to IEEE Trans. on Pattern Analysis and Machine Intelligence, 2001.
Visual Correspondence by Compact Windows via Minimum Ratio Cycle - Veksler (Correct)
....value since we want the bias term to di erentiate only between windows with approximately equal average error. 5 Minimization via Minimum Ratio Cycle The minimum ratio cycle algorithm was rst introduced into vision community by Jermyn and Ishikawa in their interesting image segmentation work [13]. In this Section we sketch the minimum ratio cycle problem and its complexity, and also describe how we use it to minimize the cost function in equation 1. For a thorough description of di erent minimum ratio cycle algorithms see [1] 5.1 Minimum Ratio Cycle Suppose G = V; E) is a directed ....
....next guess and continue the search. If there is a zero weight cycle, then = and we terminate the search. There is always a negative or a zero weight cycle, since is always an upper bound. It is easy to establish that the sequential search must terminate after O(WT 2 ) cycles, see [13]. Thus in theory the binary search is faster. In practice however we found the sequential search signi cantly faster. A generic negative cycle detection algorithm is based on a single source shortest paths algorithm for graphs with negative weights. It makes several passes over the graph. In each ....
I. Jermyn and H. Ishikawa. Globally optimal regions and boundaries as minimum ratio cycles. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2001.
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I. H. Jermyn and H. Ishikawa. Globally optimal regions and boundaries as minimum ratio weight cycles. IEEE Trans. PAMI, 23(10):1075--1068, 2001.
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I. Jermyn and H. Ishikawa, "Globally optimal regions and boundaries as minimum ratio weight cycles," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1075--1088, Oct 2001.
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I.H. Jermyn and H. Ishikawa, "Globally Optimal Regions and Boundaries as Minimum Ratio Cycles," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1075-1088, Oct. 2001.
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I. H. Jermyn and H. Ishikawa. Globally optimal regions and boundaries as minimum ratio cycles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10):1075--1088, 2001.
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I. Jermyn, and H. Ishikawa, Globally optimal regions and boundaries as minimum ratio weight cycles. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 23, No. 18, pp. 1075-1088, 2001.
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I. Jermyn and H. Ishikawa. Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 23, pages 1075-1088, October 2001.
Salient Boundary Detection Using Ratio Contour - Wang, Kubota, Siskind (2003) (2 citations) (Correct)
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I. H. Jermyn and H. Ishikawa. Globally optimal regions and boundaries as minimum ratio cycles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10):1075--1088, 2001.
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