Dense matching for multi-scale images by propagation

Laraqui, Mohammed; Saaidi, Abderrahim; Mouhib, Ali; Abarkan, Mustapha

doi:10.1007/s11042-018-5644-y

Multimed Tools Appl

2018

DOI: 10.1007/s11042-018-5644-y

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Dense matching for multi-scale images by propagation

Mohammed Laraqui

Abderrahim Saaidi

Ali Mouhib

et al.

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Cited by 2 publications

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“…In the aspect of defining the searching scope of homologous pixels, current research emphasis is on how to use various restriction strategies to reduce the searching scope and decrease the total number of candidate pixels. Frequently-used restriction strategies include pyramid hierarchy constraint 31 , epipolar line constraint 32 , prior object-space knowledge constraint, such as known elevation or DEM 33,34 , and spatial relation constraint, such as disparity continuity 35 , plane homography 36 and geometric invariance 37,38 . Among abovementioned restriction strategies, except that the epipolar line constraint is generally workable, other constraints are only suitable to specific scenes or can be used in certain conditions.…”

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A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching

Xiao

Sheng

et al. 2021

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In aerial multi-view photogrammetry, whether there is a special positional distribution pattern among candidate homologous pixels of a matching pixel in the multi-view images? If so, can this positional pattern be used to precisely confirm the real homologous pixels? These problems have not been studied at present. Therefore, the study of the positional distribution pattern among candidate homologous pixels based on the adjustment theory in surveying is investigated in this paper. Firstly, the definition and computing method of pixel’s pseudo object-space coordinates are given, which can transform the problem of multi-view matching for confirming real homologous pixels into the problem of surveying adjustment for computing the pseudo object-space coordinates of the matching pixel. Secondly, according to the surveying adjustment theory, the standardized residual of each candidate homologous pixel of the matching pixel is figured out, and the positional distribution pattern among these candidate pixels is theoretically inferred utilizing the quantitative index of standardized residual. Lastly, actual aerial images acquired by different sensors are used to carry out experimental verification of the theoretical inference. Experimental results prove not only that there is a specific positional distribution pattern among candidate homologous pixels, but also that this positional distribution pattern can be used to develop a new object-side multi-view image matching method. The proposed study has an important reference value on resolving the defects of existing image-side multi-view matching methods at the mechanism level.

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confidence: 99%

A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching

Xiao

Sheng

et al. 2021

Sci Rep

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“…The paper BDense matching for multi-scale images by propagation^ [3] presents a new dense matching algorithm between two non-stereoscopic images. There are no specific restrictions on the capture conditions.…”

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confidence: 99%

Guest Editorial: Large-scale 3D Multimedia Analysis and Applications

Zhao

Zhen

2018

Multimed Tools Appl

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With the rapid advancement of networks, graphics hardware, and computing techniques, the 3D information has been widely applied in various domains, such as virtual reality and medical industry. The proliferation of such applications has produced explosively growing 3D multimedia data, which lead to the requirement for large-scale 3D data analysis. The traditional 3D feature representation and learning algorithms may not work well for large-scale analysis, such as 3D retrieval and recognition, since the computational cost in such cases is much larger. How to design efficient and effective 3D feature representation and learning techniques to deal with the 3D big data is desirable and meaningful. This special issue targets the most recent technical progress on the analysis and applications of large-scale 3D multimedia.Submissions came from an open call for papers and with the assistance of professional referees. Eight papers are finally selected out from in total 24 submissions after two rounds of rigorous reviews. These accepted papers cover several popular topics of large-scale 3D multimedia analysis and applications, including 3D recognition, retrieval, compression, preprocessing, etc. We summarize these papers as follows:In B3D skeleton based action recognition by video-domain translation-scale invariant mapping and multi-scale dilated CNN^[4], Li et al. propose an action recognition approach from 3D skeleton videos. By a video domain translation-scale invariant image mapping, the 3D skeleton videos are transformed to skeleton color images, which are input to a multi-scale Multimed Tools Appl (2018) 77:22897-22900 https://doi

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Dense matching for multi-scale images by propagation

Cited by 2 publications

References 64 publications

A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching

A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching

Guest Editorial: Large-scale 3D Multimedia Analysis and Applications

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