The technology of image matching by the criterion of conformity of image fragments samples

Fursov, V. A.; Gavrilov, A. V.; Goshin, Yegor; Pugachev, K. G.

doi:10.1088/1742-6596/1096/1/012084

Cited by 3 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Test images are presented at Figure 1. For these test images, the disparity map shown at Figure 2a was obtained using method and algorithm described in [21,22]. Search window with the size of 57  and search area with the size of 1 65  were used.…”

Section: Results Of Experimentsmentioning

confidence: 99%

“…In this paper we develop an approach based on the principle of fragments conformity. The method was proposed in [21,22]. Let us state that 1 certainty, we assume that fragments sizes are odd and the search area is a set of points, which can be used as centres of fragments.…”

Section: Problem Statementmentioning

confidence: 99%

“…We have used this criterion in papers [21,22], where we have shown that this criterion allows improving an accuracy of image matching. The important feature is that all possible combinations of fragments samples differences are used.…”

Section: Problem Statementmentioning

confidence: 99%

“…Let us describe briefly these stages of technology. At the first stage we form disparity map using method and algorithm which are described in [21,22]. The main idea of this method was described in Section 2.…”

Section: Overall Technology Of Disparity Map Formingmentioning

confidence: 99%

“…In our previous papers we have tried to solve this problem by using a new criterion of similarity. In particular, in papers [21,22] a new fragments' similarity criterion was presented. Although we have obtained the results comparable and in some cases are better than results of semiglobal block matching, however, this problem was not fully solved.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Adaptive algorithm of conforming image matching

Fursov

Goshin

Pugachev³

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

View full text Add to dashboard Cite

This paper presents an adaptive algorithm of conforming image matching based on the principle of conformity. The algorithm consists of several main stages. At the first stage, we find the corresponding points using a minimum value of conformity as the measure of points’ similarity. We define a conformity function as the sum of all possible combinations of squared differences of pixel intensity values on the fragments that are matched. Then, we perform an adaptive procedure of errors correction considering an intensity gradient distribution. An important feature of the algorithm is the finding of error points using a criterion of maximum value of samples’ conformity for every fragment of the disparity map. The results of experiments on the "Teddy" test images are shown.

show abstract

Section: Results Of Experimentsmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Overall Technology Of Disparity Map Formingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations