Abstract
Stereovision is a technique aimed at inferring depth from two or more cameras. It plays an important role in computer vision. Single image has no depth or 3D information. Stereovision takes two images of a scene from different viewpoints usually referred to as left and right images using two cameras. Stereovision is similar to the binocular (two-eyed) human vision capturing two different views of a scene and brain processing and matching the similarity in both the images and the differences allow the brain to build depth information. OpenCV Library is used to compute the output of stereovision process—disparity and depth map.
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References
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Acknowledgments
This work has been carried out as a part of summer internship at NITK. The authors would like to acknowledge the support and guidance of Professor Ramesh. M. Kini.
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George, M.A., George, A.M. (2014). Stereovision for 3D Information. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_158
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DOI: https://doi.org/10.1007/978-81-322-1602-5_158
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