Title: Identification of stereo rig alignment error based on vertical disparity map
Authors: Katragadda, Sandeep
Citation: Journal of WSCG. 2019, vol. 27, no. 2, p. 151-160.
Issue Date: 2019
Publisher: Václav Skala - UNION Agency
Document type: článek
URI: http://hdl.handle.net/11025/35599
ISSN: 1213-6964 (on-line)
1213-6972 (print)
1213-6980 (CD-ROM)
Keywords: stereoskopický 3D;funkce shody;vertikální disparita;epipolární omezení;RANSAC
Keywords in different language: stereoscopic 3D;feature matching;vertical disparity;epipolar constraint;RANSAC
Abstract in different language: Poor quality of 3D video content can lead to headache, blurry vision and overall exhaustive experience for the viewer. To ensure quality and comfortable 3D experience for the end consumer, common production errors must be detected and corrected. Vertical disparity is one of these distortions and is caused by improper stereo-camera setup. This paper aims at identifying the possible rotational and placement errors that cause the vertical disparity. An estimation of these errors is necessary to produce good quality 3D content. According to my knowledge, there exists no method to identify rig alignment errors without the knowledge of camera setup parameters and this work is the first step in that direction. Feature point detection has proven to be an interesting approach to find vertical disparity present in the given stereo image pair. In this work feature extraction techniques such as SIFT, SURF and Harris features are efficiently used to compute reliable and robust vertical disparity patterns. This paper classifies vertical disparity patterns according to rig errors. If the vertical disparity values are too small or ambiguous to be identified by pattern analysis, this paper uses graphical analysis that highlights the relationship between the total vertical disparity and the contribution of each possible error to the total. Experimental results show that the proposed approach identifies the reason behind the presence of vertical disparity of a stereo image pair.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 27, Number 2 (2019)

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