Systems and Means of Informatics
2019, Volume 29, Issue 2, pp 71-84
THE METHOD OF DEPTH MAP CALCULATION BASED ON SOFT OPERATORS
- M. V. Bobyr
- A. E. Arkhipov
- N. A. Milostnaya
Abstract
The fuzzy method of depth map calculation using stereo images based on SAD (Sum of Absolute Differences) algorithm composition and fuzzy inference is considered. The feature of this method is soft arithmetic operators with fuzzy implication usage. The accuracy of the method of depth map construction is estimated by RMSE (root mean square error). The best soft operator has minimum RMSE. The method of depth map calculation which has 7 steps is presented. The proposed method showed that the accuracy of the SAD algorithm increases by 20% when soft operators are used. This conclusion is confirmed by the simulation results presented in the article.
[+] References (11)
- Algabri, M., H. Mathkour, H. Ramdane, andM. Alsulaiman. 2015. Comparative study of soft computing techniques for mobile robot navigation in an unknown environment. Comput. Hum. Behav. 50:42-56. doi: 10.1016/j.chb.2015.03.062.
- Bobyr, M. V. 2015. Adaptatsiya sistemy upravleniya mobil'nym robotom na osnove nechetkoy logiki [Adaptation of the mobile robot control system based on fuzzy logic]. Mekhatronika, avtomatizatsiya, upravlenie [Mechatronics Automation Control] 16(7):449-455. doi: 10.17587/mau.16.449-455.
- Delmerico, J. A., P. David, and J. J. Corso. 2013. Building facade detection, segmentation, and parameter estimation for mobile robot stereo vision. Image Vision Comput. 31(11):841 -852. doi: 10.1016/j.imavis.2013.08.006.
- Lange, M.M., S.N. Ganebnyh, and A.M. Lange. 2017. Ob effektivnosti ierar- khicheskogo algoritma poiska priblizhennogo blizhayshego soseda v zadannom nabore izobrazheniy [On efficiency of the hierarchical algorithm for searching approximate nearest neighbor in a given set of images]. Informatika i ee Primeneniya - Inform. Appl. 11(3):51-59. doi: 10.14357/19922264170306.
- Zha, D., X. Jin, and T. Xiang. 2016. A real-time global stereo-matching on FPGA. Microprocess. Microsy. 47:419-428. doi: 10.1016/j.micpro.2016.08.005.
- Perez-Patricio, M., A. Aguilar-Gonzalez, M. Arias-Estrada, H.R. Hermndez-De Leon, J.L. Camas-Anzueto, and J.A. de Jesus Osuna-Coutmo. 2016. An FPGA stereo matching unit based on fuzzy logic. Microprocess. Microsy. 42:87-99. doi: 10.1016/j.micpro.2015.10.011.
- Bobyr, M. V., N. A. Milostnaya, and S. A. Kulabuhov. 2017. A method of defuzzification based on the approach of areas' ratio. Appl. Soft Comput. 59(10): 19-32. doi: 10.1016/j.asoc.2017.05.040.
- Bobyr, M. V., S. A. Kulabuchov, and N. A. Milostnaya. 2016. Obuchenie neyro- nechetkoy sistemy na osnove metoda raznosti ploshchadey [Teaching of neuro-fuzzy system on the basis of the method of difference areas]. Artificial Intelligence Decision Making 4:15-26.
- Bobyr, M. V. 2018. Metod nelineynogo obucheniya neyro-nechetkoy sistemy vyvoda [The method of non-linear learning the neuro-fuzzy inference system]. Artificial Intelligence Decision Making 1:67-75.
- Middlebury Stereo Datasets. Available at: http://vision.middlebury.edu/stereo/data (accessed April 2, 2019).
- Georgoulas, C., and I. Andreadis. 2011. A real-time fuzzy hardware structure for disparity map computation. J. Real-Time Image Pr. 6(4):257-273. doi: 10.1007/s11554- 010-0157-6.
[+] About this article
Title
THE METHOD OF DEPTH MAP CALCULATION BASED ON SOFT OPERATORS
Journal
Systems and Means of Informatics
Volume 29, Issue 2, pp 71-84
Cover Date
2019-05-30
DOI
10.14357/08696527190207
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
stereo vision; depth map; soft computing; SAD; fuzzy logic
Authors
M. V. Bobyr  , A. E. Arkhipov , and N. A. Milostnaya
Author Affiliations
Southwest State University, 94 50 Let Oktyabrya Str., Kursk 305040, Russian Federation
|