Autors: IvaNikolova, I. N., Atanas Nikolov., Georgi Zapryanov, G. Z.
Title: Depth estimation using shifted digital still camera
Keywords: depth estimation; stereo vision; shifted digital camera

Abstract: The present work investigates a simple method for determining the distance to objects in a scene using the principles of the canonical stereo vision systems. The objective is to prove by the physical experiments that using conventional digital still camera in combination with image analysis techniques relying on binocular cues it is possible to effectively determine the distance to particular objects in a given scene. The main request is that the camera should have precise horizontal movement, high resolution and possibilities of adjusting the parameters of the optical system. Experimental results with structured scenes and camera shifted on various distances demonstrate the effectiveness of the method in providing a reliable estimation of the depth of a scene, and also outline some of its limitations and shortcomings.

References

    Issue

    Proceedings of the 12th International Conference on Computer Systems and Technologies, pp. 234-240, 2011, Austria, ISBN 978-1-4503-0917-2

    Цитирания (Citation/s):
    1. Pan, Yu, et al. “Accurate Depth Extraction Method for Multiple Light-Coding-Based Depth Cameras.” IEEE Transactions on Multimedia, vol. 19, no. 4, 2017, pp. 685–701. https://doi.org/10.1109/TMM.2016.2646179 - 2017 - в издания, индексирани в Scopus и/или Web of Science
    2. Irandoust, Mehdi, Sayyed Mohammad Emam, and Mohammad Ali Ansari. “Measurement Accuracy Assessment of the 3D Laser Triangulation Scanner Based on the Iso-Disparity Surfaces.” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 44, article 165, 2022. https://doi.org/10.1007/s40430-022-03458-2 - 2022 - в издания, индексирани в Scopus и/или Web of Science
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    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus