Abstract
The paper proposes a new method for solving the problem of constructing a depth map based on a stereo pair of images. The result of the depth information recovery can be used to capture the reference points of objects in the film industry when creating special effects, as well as in computer vision systems used on vehicles to warn the driver about a possible collision. Proposed method consists in using the theory of active perception at the stage of segmentation and image matching.
To implement the proposed method, a software product in the C# language was developed. The developed algorithm was tested on various sets of input data. The results obtained during the experiment indicate the correct operation of the proposed method in solving the problem of constructing a depth map.
The accuracy of depth mapping using the described method turned out to be comparable with the accuracy of the methods considered in the review. This suggests that this method is competitive and usable in practice.
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Kamencay, P., Breznan, M., Jarina, R., Lukac, P., Zachariasova, M.: Improved depth map estimation from stereo images based on hybrid method. Radioeng. J. 21(1), 70–78 (2012)
Comaniciu, D., Meer, P.: Mean shift: a robust approach towards feature space analysis. IEEE Trans. Patt. Anal. Mach. Intell. 24(5), 603–619 (2002)
Hisham, M.B.: Template matching using sum of squared difference and normalized cross correlation. In: 2015 IEEE Student Conference Research and Development (SCOReD) (2015)
Utrobin, V.A.: Physical interpretations of the elements of image algebra. Uspekhi Fizicheskikh Nauk (UFN) 174(10), 1089–1104 (2004)
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Gai, V.E., Polyakov, I.V., Andreeva, O.V. (2020). Depth Mapping Method Based on Stereo Pairs. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research III. NEUROINFORMATICS 2019. Studies in Computational Intelligence, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-30425-6_35
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DOI: https://doi.org/10.1007/978-3-030-30425-6_35
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-30425-6
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