Clustering of a set of identified points on images of dynamic scenes, based on the principle of minimum description length

Peterson, Maxim

doi:10.1364/jot.77.000701

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“…3, based on the principle of minimum description length 4 -the parameters of the local transformations are chosen so that the description of the position of the key points on two images occupied the smallest number of bits of information.…”

Section: Introductionmentioning

confidence: 99%

Correlating images of three-dimensional scenes by clusterizing the correlated local attributes, using the Hough transform

Malashin

2014

J. Opt. Technol.

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This paper describes algorithms for correlating images of arbitrary three-dimensional scenes by clusterizing correlated key points, using the Hough transform. The method is based on the well-known method of detecting objects, but an alternative approach is proposed for verifying clusters of correlated key points. Experimental results are given for different types of key points, confirming that the proposed method has a significant advantage over the use of the fundamental matrix.

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Section: Introductionmentioning

confidence: 99%